Research

Multimodal AI systems for enhanced laying hen welfare assessment and productivity optimization

Daniel Essien; Suresh Neethirajan

Smart Agricultural Technology

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations

Bubacarr Jobarteh; Madalina Mincu-Iorga; Dinu Gavojdian; Suresh Neethirajan

Frontiers in Veterinary Science

Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia’s Eastern Shore

Gabriel Spadon; Oladapo Oyebode; Camilo Botero; Tushar Sharma; Floris Goerlandt; Ronald Pelot

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Intelligence for Smart and Connected Communities

Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia’s Eastern Shore

Gabriel Spadon; Oladapo Oyebode; Camilo Botero; Tushar Sharma; Floris Goerlandt; Ronald Pelot

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Intelligence for Smart and Connected Communities

Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia’s Eastern Shore

Gabriel Spadon; Oladapo Oyebode; Camilo Botero; Tushar Sharma; Floris Goerlandt; Ronald Pelot

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Intelligence for Smart and Connected Communities

Artificial Intelligence in Africa: Prospects, Challenges and Opportunities Based on Social Media Discourse

Grace Ataguba; Oladapo Oyebode; Bilikis Banire; Fidelia Orji; Gerry Chan; Sandra Meier; George Frempong; Rita Orji

Proceedings of the Fifth Biennial African Human-Computer Interaction Conference

Critical Analysis of Designer’s Perspectives of E-learning Systems for African Learners: Toward User-Centered and Inclusive Designs

Grace Ataguba; Oladapo Oyebode; Gerry Chan; Fidelia Orji; Victoria Yemi-Peters; George Frempong; Rita Orji

Proceedings of the Fifth Biennial African Human-Computer Interaction Conference

Fronto-Hippocampal Synchronization in Rapid Spatial Learning in Humans

Maya Geva-Sagiv; Soyeon Jun; Marta Kryven; Josh Tenenbaum; Erie D. Boorman; Randy O’reilly; Jack J. Lin; Charan Ranganath; Ignacio Saez

CowPain Check: AI-Based Facial Expression Analysis for Dairy Cow Welfare

Shivam Patel; Suresh Neethirajan

Journal of Animal Science and Technology

Video-Based Cattle Behavior Detection for Digital Twin Development in Precision Dairy Systems

Shreya Rao; Eduardo Garcia; Suresh Neethirajan

Green AI for Livestock Perception: Efficient Architectures, Multimodal Sensing, and Robust Deployment

Suresh Neethirajan

Sustainable Computing for Digital Livestock: Reconciling Artificial Intelligence with Planetary Boundaries

Suresh Neethirajan

AI in New Product Development: Opportunities, Applications, and Managerial Implications

Muhammad Faraz Mubarak; Chris Biggadike; Eduardo Ahumada-Tello; Richard Evans

IEEE Engineering Management Review

Navigating Interdependencies In Collaborative Innovation: A Data-Driven Dematel Framework

Muhammad Faraz Mubarak; Giedrius Jucevicius; Richard Evans; Monika Petraite; Masood Fathi

Driving new product development performance: the mediating role of absorptive capacity in open innovation for SMEs

Muhammad Faraz Mubarak; Richard Evans; Mubarra Shabbir; Morteza Ghobakhloo; Monika Petraite; Giedrius Jucevicius

Journal of Manufacturing Technology Management

The effects of bipolar disorder granule cell hyperexcitability and lithium therapy on pattern separation in a computational model of the dentate gyrus

Selena Singh; Anouar Khayachi; Shani Stern; Thomas Trappenberg; Martin Alda; Abraham Nunes

Translational Psychiatry

Joint Task Offloading, DNN Pruning, and Computing Resource Allocation for Fault Detection With Dynamic Constraints in Industrial IoT

Vahidreza Niazmand; Qiang Ye

IEEE Transactions on Cognitive Communications and Networking

Editorial: Exploration of decision neuroscience research in the digital era

Wei Shan; Jing Luan; Richard Evans

Frontiers in Psychology

Joint optimization of UAV aided covert edge computing via a deep reinforcement learning framework

Wei WEI; Shu FU; Yujie TANG; Yuan WU; Haijun ZHANG

Chinese Journal of Aeronautics

Workplace Cyberbullying Among Healthcare Workers: A Systematic Review of the Prevalence, Antecedents and Consequences

Wei Zhang; Ziqi Guo; Chengyan Zhu; Maxim Bakaev; Jianwei Zhang; Richard Evans

International Journal of Mental Health Nursing

Toward Deterministic Satellite-Terrestrial Integrated Networks via Resource Adaptation and Differentiated Scheduling

Weiting Zhang; Peixi Liao; Dong Yang; Qiang Ye; Shiwen Mao; Hongke Zhang

IEEE Transactions on Mobile Computing

CRISP-NET: Integration of the CRISP-DM Model with Network Analysis

Hector Alejandro Acuna-Cid; Eduardo Ahumada-Tello; Oscar Omar Ovalle-Osuna; Richard Evans; Julia Elena Hernandez-Rios; Miriam Alondra Zambrano-Soto

Machine Learning and Knowledge Extraction

Adapting the Cool Farm Tool for Achieving Net-Zero Emissions in Agriculture in Atlantic Canada

Mackenzie Tapp; Mayuri Kate; Shuqiang Zhang; Kashfia Sailunaz; Suresh Neethirajan

Government social media and citizen trust: the mediating role of psychological distance and perceived government performance

Runxi Zeng; Liu Yang; Wuyue Zhang; Richard Evans; Junjie Luo

Public Management Review

Integrating Artificial Intelligence in dairy farm management - biometric facial recognition for cows

Shubhangi Mahato; Suresh Neethirajan

Information Processing in Agriculture

Can anthropomorphism bring better persuasiveness? An empirical study on online health risk information

Zhaohua Deng; Yuyao Tang; Manli Wu; Richard Evans

Internet Research

Double-Edge-Assisted Computation Offloading and Resource Allocation for Space-Air-Marine Integrated Networks

Zhen Wang; Bin Lin; Qiang Ye

IEEE Transactions on Vehicular Technology

CalmMe: An AI-Driven Adaptive and Personalized System for Stress Detection and Management

Aman Desai; Dharmil Shah; Oladapo Oyebode; Grace Ataguba; Rita Orji

2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)

ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency

Emanuele Carlini; Domenico Di Gangi; Vinicius Monteiro de Lira; Hanna Kavalionak; Amilcar Soares; Gabriel Spadon

Proceedings of the 19th International Symposium on Spatial and Temporal Data

Fts App: Towards Explainable AI-Driven Adaptive Weight Tracking

Grace Ataguba; Oladapo Oyebode; Dharven Yatinkumar Doshi; Rita Orji

2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)

Persuasion and Behavior Change in ChatGPT-Based Dietary Management

Grace Ataguba; Oladapo Oyebode; Fidelia Orji; Kosi Clinton Henry; Rita Orji

2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)

Surrogate Model Assisted Evolutionary Algorithms: Performance Bound and Incremental Gaussian Process Model Updates

Hong Huang; Dirk V. Arnold

Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms

A Core Pattern of Cerebellar and Brainstem Degeneration and Reduced Cerebrocerebellar Structural Covariance in Spinocerebellar Ataxia Type 3 (SCA3): MRI Volumetrics from ENIGMA-Ataxia

Jason W. Robertson; Isaac Adanyeguh; David J. Arpin; Tetsuo Ashizawa; Benjamin Bender; Fernando Cendes; Xi Chen; Giulia Coarelli; Leo Coutinho; Andreas Deistung; Imis Dogan; Alexandra Durr; Jennifer Faber; Juan Fernandez-Ruiz; Monica Ferreira; Marcondes C. Franca; Sophia L. Goricke; Shuo Han; Thomas Klockgether; Chen Liu; Jun Luo; Alberto R. M. Martinez; Sergio E. Ono; Chiadi U. Onyike; Gulin Oz; Henry Paulson; Jerry L. Prince; Kathrin Reetz; Thiago J. R. Rezende; Matthis Synofzik; Helio A. Ghizoni Teive; Sophia I. Thomopoulos; Paul M. Thompson; Dagmar Timmann; David Vaillancourt; Bart van de Warrenburg; Judith van Gaalen; Xingang Wang; Philipp Wegner; Sarah H. Ying; ESMI MR Study Group; EUROSCA MR Study Group; Ian H. Harding; Carlos R. Hernandez-Castillo

Think outside the box: Making up causal hypotheses from unreliable evidence

Marta Kryven; Simal Dolek; Robie Gonzales; Mia Radovanovic; Jessica A. Sommerville

Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences

Md Mahbub Alam; Amilcar Soares; Jose Fernando Rodrigues-Jr; Gabriel Spadon

Proceedings of the 19th International Symposium on Spatial and Temporal Data

Social product development: a systematic review and reference model

Muhammad Faraz Mubarak; Richard Evans

Journal of Engineering Design

Curiosity-driven reinforcement learning with graph transformers for decision-making in connected and autonomous vehicles

Qi Liu; Yujie Tang; Xueyuan Li; Kaifeng Wang; Fan Yang; Zirui Li

Transportation Research Part C: Emerging Technologies

Social media diplomacy for social visibility and social approval: strategic communication of the Taliban de facto government on Twitter

Qiang Chen; Qurban Hussain Pamirzad; Mohammad Saber Adina; Richard Evans

Journal of Information Technology & Politics

Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status

Shubhangi Mahato; Hanqing Bi; Suresh Neethirajan

Frontiers in Artificial Intelligence

Micro-Expression-Based Facial Analysis for Automated Pain Recognition in Dairy Cattle: An Early-Stage Evaluation

Shuqiang Zhang; Kashfia Sailunaz; Suresh Neethirajan

Boozy Gears: A Persuasive Game for Discouraging Drunk Driving

Soham Sen; Oladapo Oyebode; Chinenye Ndulue; Rita Orji

2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)

Test-Time Training for Speech-based Depression Detection

Sri Harsha Dumpala; Chandramouli S. Sastry; Rudolf Uher; Sageev Oore

Interspeech 2025

Decoding vocal indicators of stress in laying hens: A CNN-MFCC deep learning framework

Suresh Neethirajan

Smart Agricultural Technology

Serencoach: an Ai-Driven Persuasive Digital Coach for Anxiety and Depression Management

Vishesh Dipal Patel; Oladapo Oyebode; Grace Ataguba; Rita Orji

2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)

How to Recover Long Audio Sequences Through Gradient Inversion Attack With Dynamic Segment-based Reconstruction

Xijie Zeng; Frank Rudzicz

Interspeech 2025

Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review

XingCe Zhu; Wei Dai; Richard Evans; Xueyu Geng; Aruhan Mu; Zhiyong Liu

JMIR Medical Informatics

DimenFix: A novel meta-strategy to preserve user-defined data values on dimensionality reduction layouts

Zixuan Han; Diede van der Hoorn; Thomas Hollt; Qiaodan Luo; Leonardo Christino; Evangelos Milios; Fernando V. Paulovich

Computers & Graphics

Fact retrieval from knowledge graphs through semantic and contextual attention

Akhil Chaudhary; Enayat Rajabi; Somayeh Kafaie; Evangelos Milios

Expert Systems with Applications

Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality

Naihe Feng; Yi Sui; Shiyi Hou; Jesse C. Cresswell; Ga Wu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

Dairy DigiD: An Edge-Cloud Framework for Real-Time Cattle Biometrics and Health Classification

Shubhangi Mahato; Suresh Neethirajan

Applied Informatics

Hey ChatGPT-Is a Louis Vuitton Bag an Investment? Evaluating LLM Readiness for Use in Financial Literacy and Education

Stacey Taylor; Samantha Taylor; Shannon Lin; Vlado Keselj

Journal of Emerging Technologies in Accounting

Agency in Livestock Farming-A Perspective on Human-Animal-Computer Interactions

Suresh Neethirajan

Human-Centric Intelligent Systems

MyShoppingBuddy: Exploring Persuasive Strategies and Design Opportunities for Gamifying Real World Shopping Experiences

Grace Ataguba; Oladapo Oyebode; Gerry Chan; Rita Orji

Games: Research and Practice

Masked strategies for images with small objects

H. Martin Gillis; Ming Hill; Paul Hollensen; Alan Fine; Thomas Trappenberg

2025 International Joint Conference on Neural Networks (IJCNN)

AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data

Joao Pedro Silva; Erikson J. de Aguiar; Gabriel Spadon; Agma J. M. Traina; Jose F. Rodrigues

2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)

DT-GAIN: a Novel Framework for Multivariate Time-Series Data Imputation in Industrial Iot

Kamran Sattar Awaisi; Qiang Ye; Srinivas Sampalli

ICC 2025 - IEEE International Conference on Communications

An Adaptive Language-Agnostic Pruning Method for Greener Language Models for Code

Mootez Saad; Jose Antonio Hernandez Lopez; Boqi Chen; Daniel Varro; Tushar Sharma

Foundations of Software Engineering (FSE)

Chameleon: A Multimodal Learning Framework Robust to Missing Modalities

Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Ignazio Gallo; Markus Schedl

International Journal of Multimedia Information Retrieval

Satellite-Based Seasonal Fingerprinting of Methane Emissions from Canadian Dairy Farms Using Sentinel-5P

Padmanabhan Jagannathan Prajesh; Kaliaperumal Ragunath; Miriam Gordon; Suresh Neethirajan

Digital-Twin-Enabled Channel Access and Power Control for Smart Grids in Communication Networks

Qihao Li; Qiang Ye; Fengye Hu

2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)

Artificial intelligence-driven energy technology innovation: Dynamic impact and mechanism exploration

Renbo Shi; Wei Shan; Richard Evans; Qingjin Wang

Energy Economics

Computational Architectures for Precision Dairy Nutrition Digital Twins: A Technical Review and Implementation Framework

Shreya Rao; Suresh Neethirajan

Italian National Conference on Sensors

Micro-Expression-Based Facial Analysis for Automated Pain Recognition in Dairy Cattle

Shuqiang Zhang; Kashfia Sailunaz; Suresh Neethirajan

A New Measure of Mnemonic Discrimination Applicable to Recognition Memory Tests With Continuous Variation in Novel Stimulus Interference

Simon Léger; Christian Guinard; Selena Singh; Suzanna Becker; Jasmyn E. A. Cunningham; Martin Alda; Aaron J. Newman; Thomas Trappenberg; Abraham Nunes

Brain and Behavior

TS-Detector : Detecting Feature Toggle Usage Patterns

Tajmilur Rahman; Mengzhe Fei; Tushar Sharma; Chanchal Roy

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering

Position paper: Foundation models are not the brain

Thomas Trappenberg

2025 International Joint Conference on Neural Networks (IJCNN)

AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring

Venkatraman Manikandan; Suresh Neethirajan

Bimodal data analysis for early detection of lameness in dairy cows using artificial intelligence

Yashan Dhaliwal; Hangqing Bi; Suresh Neethirajan

Journal of Agriculture and Food Research

Objective Assessment of Early Psychomotor Changes During Antidepressant Treatment

André Tonon; Amer Burhan; Pierre Blier; Faranak Farzan; Jane Foster; Benicio Frey; Ishrat Hussein; Stefan Kloiber; Raymond Lam; Roumen Milev; Daniel Müller; Abraham Nunes; Sagar Parikh; Lena Quilty; Claudio Soares; Nicole Stinson; Valerie H. Taylor; Gustavo Turecki; Joshua Rosenblat; Sidney H. Kennedy; Kate Harkness; Nicholas Bock; Frank Rudzicz; Sageev Oore; Rudolf Uher

Biological Psychiatry

Illuminating Bovine Cardiovascular Risks: A Hybrid Deep Learning and Biomarker Framework Using Retinal Imaging

Chamirti Senthilkumar; Nikeeta Ramkumar; Sindhu C; G Vadivu; Suresh Neethirajan

A Machine Learning-based Framework for Realtime Tor Traffic Detection

Jayrajsinh M Jadeja; Qiang Ye

IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Federated Non-Stochastic Multi-Armed Bandit for Channel Sensing in Cognitive Radio Systems

Kinda Khawam; Farah Yassine; Samer Lahoud; Yujie Tang; Dominique Quadri; Steven Martin

2025 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

How Entrepreneurs Absorb Knowledge Spillovers During Innovative Product Development: Evidence From UK Start-Ups

Marco Cuvero; Maria L. Granados; Alan Pilkington; Richard Evans; Wai Wai Ko; Maria Bortnovskaya; Catherine L. Wang

Giving Cows a Digital Voice – AI-Enabled Bioacoustics and Smart Sensing in Precision Livestock Management

Mayuri Kate; Suresh Neethirajan

Annals of Animal Science

Longitudinal Trends of Depression in Traumatic Brain Injury: The Role of Individual Heterogeneity in Clinical Prediction

Nelofar Kureshi; David B. Clarke; Abraham Nunes; Cindy Feng; Syed Sibte Raza Abidi

Enhancing the Collaborative Decision-Making Performance of Connected and Autonomous Vehicles: A Multi-Modal Failure-Aware Graph Representation Approach

Qi Liu; Yujie Tang; Xueyuan Li; Guodong Du; Zirui Li

IEEE Transactions on Intelligent Transportation Systems

Measurement of Personal Rhythm From Speech and Movement

Sageev Oore; Jason d’Eon; Mayank Ramchandani; Sri Harsha Dumpala; Chandramouli Sastry; Jane Foster; Benicio Frey; Kate Harkness; Sidney Kennedy; Raymond W. Lam; Qingqin Li; Roumen Milev; Abraham Nunes; Lena Quilty; Susan Rotzinger; Frank Rudzicz; Claudio Soares; Valerie H. Taylor; Gustavo Turecki; Rudolf Uher

Biological Psychiatry

Pupillometry for Arm and Hand Motor Intent Detection

Shane Forbrigger; Thomas Trappenberg; Ya-Jun Pan

2025 International Conference On Rehabilitation Robotics (ICORR)

A Heterogeneous Bipartite Graph Framework for Donor-Recipient Matching in Kidney Transplantation

Sheida Majouni; Karthik Tennankore; Samina Abidi; Amanda Vinson; George Worthen; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring-A Critical Review

Sibi Chakravathy Parivendan; Kashfia Sailunaz; Suresh Neethirajan

Donor-Recipient Matching for Kidney Transplantation Using Uncertainty Estimation in Generalized Propensity Score

Syed Asil Ali Naqvi; Karthik Tennankore; Samina Abidi; Amanda Vinson; George Worthen; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

AI-Driven Bioacoustics in Poultry Farming: A Critical Systematic Review on Vocalization Analysis for Stress and Disease Detection

Venkatraman Manikandan; Suresh Neethirajan

Decoding Poultry Welfare from Sound-A Machine Learning Framework for Non-Invasive Acoustic Monitoring

Venkatraman Manikandan; Suresh Neethirajan

Impact of patient engagement types on doctors’ service provision in online health communities

Wei Zhang; Jingwen Xuan; Mingxuan Cai; Magdalena Kludacz-Alessandri; Richard Evans

Patient Education and Counseling

Two-Tier Task Offloading for Satellite-Assisted Marine Networks: A Hybrid Stackelberg-Bargaining Game Approach

Zhen Wang; Bin Lin; Qiang Ye; Haixia Peng

IEEE Internet of Things Journal

COMET: Generating commit messages using delta graph context representation

Abhinav Reddy Mandli; Saurabhsingh Rajput; Tushar Sharma

Journal of Systems and Software

DPy: Code Smells Detection Tool for Python

Aryan Boloori; Tushar Sharma

2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)

It Works (only) on My Machine: A Study on Reproducibility Smells in Ansible Scripts

Ghazal Sobhani; Israat Haque; Tushar Sharma

2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)

MaRV: A Manually Validated Refactoring Dataset

Henrique Nunes; Tushar Sharma; Eduardo Figueiredo

2025 IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering (Forge)

MV-STGHAT: Multi-View Spatial-Temporal Graph Hybrid Attention Network for Decision-Making of Connected and Autonomous Vehicles

Qi Liu; Yujie Tang; Xueyuan Li; Fan Yang; Kaifeng Wang; Zirui Li

IEEE Transactions on Vehicular Technology

Rethinking Poultry Welfare-Integrating Behavioral Science and Digital Innovations for Enhanced Animal Well-Being

Suresh Neethirajan

What are patient perspectives on privacy and trust in digital genomic tools? A qualitative study

Vedika Jha; Saumeh Saeedi; Marc Clausen; Daniel Assamad; Sonya Grewal; Daena Hirjikaka; Whiwon Lee; Stephanie Luca; Angela Shaw; Robin Hayeems; Yvonne Bombard; the Genetics Navigator Study Team

Journal of Genetic Counseling

Cerebellar cognitive affective syndrome in patients with spinocerebellar ataxia type 10

Angel Omar Romero-Molina; Gabriel Ramirez-Garcia; Amanda Chirino-Perez; Gustavo Padron-Rivera; Carlos Roberto Hernandez-Castillo; Maria Guadalupe Garcia-Gomar; Diana Laura Torres-Vences; Juan Fernandez-Ruiz

Leveraging satellite data for greenhouse gas mitigation in Canadian poultry farming

Bubacarr Jobarteh; Suresh Neethirajan

Smart Agricultural Technology

Functional Connectivity Alterations in Spinocerebellar Ataxia Type 10: Insights from Gray Matter Atrophy

Gustavo Padron-Rivera; Gabriel Ramirez-Garcia; Amanda Chirino-Perez; Angel Omar Romero-Molina; Adriana Ochoa-Morales; Maria Guadalupe Garcia-Gomar; Miguel Angel Ramirez-Garcia; Omar Rodriguez-Mendoza; Diana Laura Torres; Birgitt Schule; Erick Humberto Pasaye-Alcaraz; Carlos Roberto Hernandez-Castillo; Juan Fernandez-Ruiz

Safety-Critical Offloading with Constrained Reinforcement Learning for Multi-access Edge Computing

Hui Huang; Qiang Ye; Yitong Zhou

ACM Transactions on Sensor Networks

Decoding Bovine Communication with AI and Multimodal Systems Advancing Sustainable Livestock Management and Precision Agriculture

Mayuri Kate; Suresh Neethirajan

Strategic foresight, knowledge management, and open innovation: Drivers of new product development success

Muhammad Faraz Mubarak; Giedrius Jucevicius; Mubarra Shabbir; Monika Petraite; Morteza Ghobakhloo; Richard Evans

Journal of Innovation & Knowledge

Using Unsupervised Clustering to Characterize Phenotypes Among Older Kidney Transplant Recipients: A Cohort Study

Sareen Singh; Syed Sibte Raza Abidi; Syed Asil Ali Naqvi; Amanda J. Vinson; Thomas A. A. Skinner; George Worthen; Samina Abidi; Kenneth A. West; Karthik K. Tennankore

Canadian Journal of Kidney Health and Disease

DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering

Sher Badshah; Hassan Sajjad

Adapting a Large-Scale Transformer Model to Decode Chicken Vocalizations: A Non-Invasive AI Approach to Poultry Welfare

Suresh Neethirajan

Single-source Publishing using Starfish UPTEP Method: Applications in Multilingual Web Site Development and Courseware Content Management

2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH)

An Evolutionary Algorithm for Expensive Mixed-Integer Black-Box Optimization with Explicit Constraints

Yuan Hong; Dirk V. Arnold

ACM Transactions on Evolutionary Learning and Optimization

The Evolving Cerebellar and Cerebello-cortical Functional Connectivity Architecture during Infancy

Sankalp Tikoo; Carlos R. Hernandez-Castillo; Haitao Chen; Rebecca Stephens; Emil Cornea; John H. Gilmore; Wei Gao

The Journal of Neuroscience

BenthicNet: A global compilation of seafloor images for deep learning applications

Scott C. Lowe; Benjamin Misiuk; Isaac Xu; Shakhboz Abdulazizov; Amit R. Baroi; Alex C. Bastos; Merlin Best; Vicki Ferrini; Ariell Friedman; Deborah Hart; Ove Hoegh-Guldberg; Daniel Ierodiaconou; Julia Mackin-McLaughlin; Kathryn Markey; Pedro S. Menandro; Jacquomo Monk; Shreya Nemani; John O’Brien; Elizabeth Oh; Luba Y. Reshitnyk; Katleen Robert; Chris M. Roelfsema; Jessica A. Sameoto; Alexandre C. G. Schimel; Jordan A. Thomson; Brittany R. Wilson; Melisa C. Wong; Craig J. Brown; Thomas Trappenberg

Scientific Data

Examining healthcare workers’ engagement with social media-based health education: Influencing factors, challenges, and future directions

Wei Zhang; Fuxiang Guo; Weihan Cheng; Richard Evans; Magdalena Kludacz-Alessandri; Chengyan Zhu

Patient Education and Counseling

Customized Transmission Protocol for Tile-Based 360deg VR Video Streaming Over Core Network Slices

Yannan Wei; Qiang Ye; Kaige Qu; Weihua Zhuang; Xuemin Shen

IEEE Transactions on Networking

The Impact of Electrophysiological Diversity on Pattern Completion in Lithium Nonresponsive Bipolar Disorder: A Computational Modeling Approach

Abraham Nunes; Selena Singh; Anouar Khayachi; Shani Stern; Thomas Trappenberg; Martin Alda

Brain and Behavior

Exploring Differences in Stroke Treatment Between Urban and Rural Hospitals: A Thematic Analysis of Practices in Canada

Adam Forward; Aymane Sahli; Richard Evans; Noreen Kamal

Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques

Optimizing Prescribing for Individuals With Type 2 Diabetes and Chronic Kidney Disease Through the Development and Validation of Algorithms for Community Pharmacists

Jennifer Morris; Marisa Battistella; Karthik Tennankore; Steven Soroka; Cynthia Kendell; Penelope Poyah; Keigan More; Mathew Grandy; Thomas Ransom; Natalie Kennie-Kaulbach; Daniel Rainkie; Jaclyn Tran; Syed Sibte Raza Abidi; Samina Abidi; Nicole Fulford; Heather Neville; Heather Naylor; Lisa Woodill; Andrea Bishop; Glenn Rodrigues; Diane Harpell; Michelle Stewart; Jo-Anne Wilson

Canadian Journal of Kidney Health and Disease

Learning-Assisted Dynamic VNF Selection and Chaining for 6G Satellite-Ground Integrated Networks

Jianxin Zhang; Qiang Ye; Kaige Qu; Yanglong Sun; Yuliang Tang; Dongmei Zhao; Tong Ye

IEEE Transactions on Vehicular Technology

On Inter-Dataset Code Duplication and Data Leakage in Large Language Models

Jose Antonio Hernandez Lopez; Boqi Chen; Mootez Saad; Tushar Sharma; Daniel Varro

IEEE Transactions on Software Engineering

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation

Abeer Badawi; Elahe Rahimi; Md Tahmid Rahman Laskar; Sheri Grach; Lindsay Bertrand; Lames Danok; Jimmy Huang; Frank Rudzicz; Elham Dolatabadi

MedSynth: Realistic, Synthetic Medical Dialogue-Note Pairs

Ahmad Rezaie Mianroodi; Amirali Rezaie; Niko Grisel Todorov; Cyril Rakovski; Frank Rudzicz

MedSynth: Realistic, Synthetic Medical Dialogue-Note Pairs

Ahmad Rezaie Mianroodi; Amirali Rezaie; Niko Grisel Todorov; Cyril Rakovski; Frank Rudzicz

Self-Supervised Representation Learning as Mutual Information Maximization

Akhlaqur Rahman Sabby; Yi Sui; Tongzi Wu; Jesse C. Cresswell; Ga Wu

Sample-Efficient Differentially Private Fine-Tuning via Gradient Matrix Denoising

Ali Dadsetan; Frank Rudzicz

Cross-Layer Discrete Concept Discovery for Interpreting Language Models

Ankur Garg; Xuemin Yu; Hassan Sajjad; Samira Ebrahimi Kahou

A Generalist Hanabi Agent

Arjun V Sudhakar; Hadi Nekoei; Mathieu Reymond; Miao Liu; Janarthanan Rajendran; Sarath Chandar

Integrating multi-modal data

Bubacarr Jobarteh; Madalina Mincu-Iorga; Dinu Gavojdian; Suresh Neethirajan

CAG: A Constraint-Driven Adversarial Traffic Generation Scheme Based on Feature Correlations

Burhan Mehraj; Qiang Ye

Lecture Notes in Computer Science

The Motivational Appeal of Persuasive Strategies in a Healthy Eating Behaviour Change Game

Chinenye Ndulue; Oladapo Oyebode; Rita Orji

Lecture Notes in Computer Science

Understanding Syntactic Generalization in Structure-inducing Language Models

David Arps; Hassan Sajjad; Laura Kallmeyer

Bridging Open Innovation and Sustainability: A Scoping Review

David Romero-Gomez; Richard Evans; Muhammad Mubarak; Eduardo Ahumada-Tello

2025 IEEE Technology and Engineering Management Society (TEMSCON LATAM) Conference

Mitigating Unsafe Feedback with Learning Constraints

Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad

Locking Open Weight Models with Spectral Deformation

Domenic Rosati; Sebastian Dionicio; Xijie Zeng; Subhabrata Majumdar; Frank Rudzicz; Hassan Sajjad

TAIG Workshop at ICML

Locking open weight models with spectral deformation

Domenic Rosati; Sebastian Dionicio; Xijie Zeng; Subhabrata Majumdar; Frank Rudzicz; Hassan Sajjad

ICML Workshop on Technical AI Governance (TAIG)

Locking open weight models with spectral deformation

Domenic Rosati; Sebastian Dionicio; Xijie Zeng; Subhabrata Majumdar; Frank Rudzicz; Hassan Sajjad

ICML Workshop on Technical AI Governance (TAIG)

SoftAdaClip: A Smooth Clipping Strategy for Fair and Private Model Training

Dorsa Soleymani; Ali Dadsetan; Frank Rudzicz

Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization

Elahe Rahimi; Hassan Sajjad; Domenic Rosati; Abeer Badawi; Elham Dolatabadi; Frank Rudzicz

Findings of the Association for Computational Linguistics: EMNLP 2025

Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization

Elahe Rahimi; Hassan Sajjad; Domenic Rosati; Abeer Badawi; Elham Dolatabadi; Frank Rudzicz

Findings of the Association for Computational Linguistics: EMNLP 2025

MLHOps

Faiza Khan Khattak; Vallijah Subasri; Amrit Krishnan; Chloe Pou-Prom; Sedef Akinli-Kocak; Elham Dolatabadi; Deval Pandya; Laleh Seyyed-Kalantari; Frank Rudzicz

MLHOps: Machine Learning Health Operations

Faiza Khan Khattak; Vallijah Subasri; Amrit Krishnan; Chloe Pou-Prom; Sedef Akinli-Kocak; Elham Dolatabadi; Deval Pandya; Laleh Seyyed-Kalantari; Frank Rudzicz

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu

Farah Adeeba; Brian Dillon; Hassan Sajjad; Rajesh Bhatt

Joint Optimization of Beamforming, Subchannel, and Power Allocation in Multi-Satellite BH-NOMA Communication System

Feng Ding; Shu Fu; Hongyang Yu; Yujie Tang; Boya Di; Fei Richard Yu

IEEE Transactions on Vehicular Technology

ACCORD: Closing the Commonsense Measurability Gap

Francois Roewer-Despres; Jinyue Feng; Zining Zhu; Frank Rudzicz

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

ACCORD

Francois Roewer-Després; Jinyue Feng; Zining Zhu; Frank Rudzicz

Games

G Catak; S Lieb; F Mazrek; T Thormahlen; P Siriaraya; S Adachi; V Visch; R Spijkerman; S Nakajima; G Ataguba; O Oyebode; G Chan; R Orji; S Kriglstein; J Flitcroft; J Marshall; F Leo Tabios; E Varjo; G Wallner

Learning Spatio-Temporal Vessel Behavior using AIS Trajectory Data and Markovian Models in the Gulf of St. Lawrence

Gabriel Spadon; Ruixin Song; Vaishnav Vaidheeswaran; Md Mahbub Alam; Floris Goerlandt; Ronald Pelot

Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence

Gabriel Spadon; Ruixin Song; Vaishnav Vaidheeswaran; Md Mahbub Alam; Floris Goerlandt; Ronald Pelot

A Theoretical Framework for Environmental Similarity and Vessel Mobility as Coupled Predictors of Marine Invasive Species Pathways

Gabriel Spadon; Vaishnav Vaidheeswaran; Claudio DiBacco

Using speech to screen for generalized anxiety disorder during pregnancy

H Bayrampour; J Amorim; J Pimentel; S Tamana; C Conati; F Rudzicz

The 7th European Conference on Integrated Care and Assertive Outreach (EAOF)

Last-layer committee machines for uncertainty estimations of benthic imagery

H. Martin Gillis; Isaac Xu; Benjamin Misiuk; Craig J. Brown; Thomas Trappenberg

Uncertainty Estimation using Variance-Gated Distributions

H. Martin Gillis; Isaac Xu; Thomas Trappenberg

Platelet enumeration in dense aggregates

H. Martin Gillis; Yogeshwar Shendye; Paul Hollensen; Alan Fine; Thomas Trappenberg

Using speech to screen for generalized anxiety disorder during pregnancy

Hamideh Bayrampour; Joana Amorim; Joao Pimentel; Sukhpreet Tamaana; Christina Conati; Frank Rudzicz

Society for Psychotherapy Research (SPR) 56th International Annual Meeting

Resolving Lexical Bias in Edit Scoping with Projector Editor Networks

Hammad Rizwan; Domenic Rosati; Ga Wu; Hassan Sajjad

In Proceedings of the 42 International Conference on Machine Learning (ICML-25)

LLM Library Learning Fails: A LEGO-Prover Case Study

Ian Berlot-Attwell; Frank Rudzicz; Xujie Si

Reinforcement Learning vs Supervised Learning: A tug of war to generate refactored code accurately

Indranil Palit; Tushar Sharma

International Conference on Evaluation and Assessment in Software Engineering (EASE)

The Pattern and Stages of Atrophy in Spinocerebellar Ataxia Type 2: Volumetrics from ENIGMA-Ataxia

Jason W. Robertson; I. Adanyeguh; Benjamin Bender; Sylvia Boesch; Arturo Brunetti; S. Cocozza; L. Coutinho; A. Deistung; S. Diciotti; I. Dogan; A. Durr; Juan Fernandez-Ruiz; Sophia L. Goricke; M. Grisoli; Shuo Han; C. Mariotti; Chiara Marzi; M. Mascalchi; F. Mochel; W. Nachbauer; Lorenzo Nanetti; A. Nigri; S. Ono; C. Onyike; Jerry L. Prince; K. Reetz; S. Romanzetti; Francesco Sacca; M. Synofzik; Helio A. G Teive; S. Thomopoulos; Paul M. Thompson; Dagmar Timmann; S. H. Ying; Ian H Harding; C. Hernandez-Castillo

Movement Disorders

Planning with Generative Cognitive Maps

Jeffrey Qin; Albert Yang; Cole Wyeth; Ziheng Xu; Kevin Ellis; Marta Kryven

NeurIPS 2025 Workshop on Bridging Language, Agent, and World Models for Reasoning and Planning

Balancing Profit and Fairness in Risk-Based Pricing Markets

Jesse Thibodeau; Hadi Nekoei; Afaf Taik; Janarthanan Rajendran; Golnoosh Farnadi

What are patient perspectives on privacy and trust in digital genomic tools? A qualitative study

Jha, Vedika; Saeedi, Saumeh; Clausen, Marc; Assamad, Daniel; Grewal, Sonya; Hirjikaka, Daena; Lee, Whiwon; Luca, Stephanie; Shaw, Angela; Hayeems, Robin; Bombard, Yvonne; the Genetics Navigator Study Team

Journal of Genetic Counseling

CausalLink

Jinyue Feng; Frank Rudzicz

Findings of the ACL

CausalLink: An Interactive Evaluation Framework for Causal Reasoning

Jinyue Feng; Frank Rudzicz

Findings of the Association for Computational Linguistics: ACL 2025

ROUGE-SciQFS: A ROUGE-based Method to Automatically Create Datasets for Scientific Query-Focused Summarization

Juan Ramirez-Orta; A. Maguitman; Axel J. Soto; E. Milios

Proceedings of the 31st International Conference on Computational Linguistics

MyHealthCore: Towards a Community-Engaged HIV Prevention Persuasive mHealth App

Kaminda Natasha; Gerry Chan; Oladapo Oyebode

Persuasive Technology: 20th International Conference, PERSUASIVE 2025, Limassol, Cyprus, May 5-7, 2025, Proceedings

SET: A Shared-Encoder Transformer Scheme for Multi-Sensor, Multi-Class Fault Classification in Industrial IoT

Kamran Sattar Awaisi; Qiang Ye; Srinivas Sampalli

IEEE Transactions on Machine Learning in Communications and Networking

Developing the Innovation Capabilities of SMEs: The Role of Intermediary Firms in Knowledge Ecosystems

Khuram Shahzad; Shahid Hafeez; Teppo Heimo; Antti Maenpaa; Muhammad Faraz Mubarak; Richard Evans

IEEE Transactions on Engineering Management

Adapting the Cool Farm Tool for Net Zero Poultry Farming in Atlantic Canada

Mackenzie Tapp; Kashfia Sailunaz; Shuqiang Zhang; Suresh Neethirajan

United Nations Sustainable Development Goals (U SDG) Expo 2025 Halifax

Cross-Species Transfer Learning in Agricultural AI: Evaluating ZebraPose Adaptation for Dairy Cattle Pose Estimation

Mackenzie Tapp; Sibi Chakravarthy Parivendan; Kashfia Sailunaz; Suresh Neethirajan

Interpreting the Effects of Quantization on LLMs

Manpreet Singh; Hassan Sajjad

Biomarkers of Myotonic Dystrophy Type I (DM1) with rsfMRI and neuropsychological assessment

Maria Lopez; Juan Fernandez-Ruiz; Carlos Hernandez-Castillo; Jonathan Magana-Aguirre; Luz Marquez-Quiroz; Amanda Chirino; Rosalinda Diaz; Luis Parrazal; Sara Cruz-Solis; Maria de Lourdes Martinez

Cognitive maps are generative programs

Marta Kryven; Cole Wyeth; Aidan Curtis; Kevin Ellis

Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It

Marvin F. da Silva; Felix Dangel; Sageev Oore

When Many Trees Go to War

Mathias Weller; Norbert Zeh

Evaluating Low-Dimensional Latent Representations as a Creative Interface for Digital Synthesizers

Matthew Peachey; Sageev Oore; Joseph Malloch

Big Data Approaches to Bovine Bioacoustics: A FAIR-Compliant Dataset and Scalable ML Framework for Precision Livestock Welfare

Mayuri Kate; Suresh Neethirajan

Multi-vessel Interaction-Aware Trajectory Prediction and Collision Risk Assessment

Md Mahbub Alam; Jose F. Rodrigues-Jr; Gabriel Spadon

Exploring digital interventions for business resilience during crisis - a systematic literature review

Michael D. Dzandu; Sergio De Cesare; Richard Evans; Yinshan Tang

Procedia Computer Science

Smart but Costly? Benchmarking LLMs on Functional Accuracy and Energy Efficiency

Mohammadjavad Mehditabar; Saurabhsingh Rajput; Antonio Mastropaolo; Tushar Sharma

Bridging Research and Practice in Persuasive Mobile Stress Management Apps: A 21-Year Comparative Analysis and Novel Design Framework

Mona Alhasani; Oladapo Oyebode; Rita Orji

Lecture Notes in Computer Science

Mobile Stress Management Apps: A 21-Year Comparative Analysis and Novel Design

Mona Alhasani; Oladapo Oyebode; Rita Orji

Persuasive Technology: 20th International Conference, PERSUASIVE 2025, Limassol, Cyprus, May 5-7, 2025, Proceedings

On the Effect of Token Merging on Pre-trained Models for Code

Mootez Saad; Hao Li; Tushar Sharma; Ahmed E. Hassan

SENAI: Towards Software Engineering Native Generative Artificial Intelligence

Mootez Saad; Jose Antonio Hernandez Lopez; Boqi Chen; Neil Ernst; Daniel Varro; Tushar Sharma

Capitalizing Innovation Capabilities for Smart Value Chain Management in Collaborative Innovation Networks

Muhammad Faraz Mubarak; Monika Petraite; Mubarra Shabbir; Richard Evans; Anna Pilkova

Smart Supply Chain Management

Issues in managing open innovation-based supplier networks in Industry 5.0 context

Muhammad Faraz Mubarak; Richard Evans; Monika Petraite; Giedrius Jucevicius; Khuram Shahzad

Technological Innovations and Industry 5.0

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution

Muhammad Umair Haider; Hammad Rizwan; Hassan Sajjad; Peizhong Ju; A. B. Siddique

ContraSim: Contrastive Similarity Space Learning for Financial Market Predictions

Nicholas Vinden; Raeid Saqur; Zining Zhu; Frank Rudzicz

Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework

Nicholas Vinden; Raeid Saqur; Zining Zhu; Frank Rudzicz

Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework

Nicholas Vinden; Raeid Saqur; Zining Zhu; Frank Rudzicz

AI-Driven Carbon Monitoring: Transformer-Based Reconstruction of Atmospheric CO2 in Canadian Poultry Regions

Padmanabhan Jagannathan Prajesh; Kaliaperumal Ragunath; Miriam Gordon; Bruce Rathgeber; Suresh Neethirajan

Dependency Parsing is More Parameter-Efficient with Normalization

Paolo Gajo; Domenic Rosati; Hassan Sajjad; Alberto Barron-Cedeno

Accelerating Climate Action - High-Resolution Methane Mapping in Canadian Poultry Farms

Prajesh Padmanabhan; Suresh Neethirajan

2025 MacRae Library Research Day

PetBuddy: An Examination of Augmented Reality Mobile Health Game for Promoting Physical Activity

Priyal Srivastava; Gerry Chan; Oladapo Oyebode; Rita Orji

Lecture Notes in Computer Science

Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models

Raeid Saqur; Anastasis Kratsios; Florian Krach; Yannick Limmer; Blanka Horvath; Frank Rudzicz

Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization

Rahimi, Elahe; Sajjad, Hassan; Rosati, Domenic; Badawi, Abeer; Dolatabadi, Elham; Rudzicz, Frank

Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language

Ricardo Trainotti Rabonato; Evangelos Milios; Lilian Berton

Lecture Notes in Computer Science

Reliable Compositional Editing with Overlap-Aware Attention in Diffusion Models

Salamata Konate; Hassan Hamidi; Elham Dolatabadi; Frank Rudzicz; Laleh Seyyed-Kalantari

Psychiatry Research

SphereEdit: Geometric Control for Composable Diffusion-Based Image Editing

Salamata Konate; Hassan Hamidi; Elham Dolatabadi; Frank Rudzicz; Laleh Seyyed-Kalantari

NEGEL at NeurIPS

Tu(r)ning AI Green: Exploring Energy Efficiency Cascading with Orthogonal Optimizations

Saurabhsingh Rajput; Mootez Saad; Tushar Sharma

Informative Path Planning for Active Regression With Gaussian Processes via Sparse Optimization

Shamak Dutta; Nils Wilde; Stephen L. Smith

IEEE Transactions on Robotics

A Graph Neural Network Approach for Data-Driven Donor-Recipient Matching in Kidney Transplantation

Sheida Majouni; Karthik Tennankore; Samina Abidi; Amanda Vinson; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

TALE: A Tool-Augmented Framework for Reference-Free Evaluation of Large Language Models

Sher Badshah; Ali Emami; Hassan Sajjad

IEDL-IDS: An Image-Enhanced Encoder-Based Deep Learning Scheme for Intrusion Detection Systems

Shiyun Wang; Qiang Ye; Yujie Tang

ACM Transactions on Privacy and Security

Utilizing Autoencoder to Generate Realistic WGAN-based Adversarial Traffic

Shiyun Wang; Qiang Ye; Yujie Tang

2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)

Advancing Dairy Cow Management - Digital Twin Technology for Precision Nutrition

Shreya Rao; Suresh Neethirajan

Reimagining Dairy Cow Well-Being through Video-Based Pain Detection

Shuqiang Zhang; Kashfia Sailunaz; Suresh Neethirajan

Social Dynamics in the Digital Pasture Advanced Vision-Based Tracking of Dairy Cow Interactions

Sibi Parivendan; Mackenzie Tapp; Kashfia Sailunaz; Suresh Neethirajan

2025 MacRae Library Research Day

Why Attention Fails: A Taxonomy of Faults in Attention-Based Neural Networks

Sigma Jahan; Shalini Singh Rajput; Tushar Sharma; Mohammad Masudur Rahman

Open Technical Problems in Open-Weight AI Model Risk Management

Stephen Casper; Kyle O’Brien; Shayne Longpre; Elizabeth Seger; Kevin Klyman; Rishi Bommasani; Aniruddha Nrusimha; Ilia Shumailov; Sören Mindermann; Steven Basart; Frank Rudzicz; Kellin Pelrine; Avijit Ghosh; Andrew Strait; Robert Kirk; Dan Hendrycks; Peter Henderson; J. Zico Kolter; Geoffrey Irving; Yarin Gal; Yoshua Bengio; Dylan Hadfield-Menell

Animal Agency in Livestock Farming Human Animal-Computer Interactions in Human-Centric Intelligent Systems

Suresh Neethirajan

Green Artificial Intelligence for Livestock Systems: Energy Use, Carbon Accounting, and Welfare Outcomes in Dairy and Poultry Farming

Suresh Neethirajan

Project MooLogue: Giving voice to the voiceless and creating smarter, more profitable farms

Suresh Neethirajan

Resilience as Welfare: Quantifying Adaptive Capacity in Farm Animals with Sensor-Enabled Phenotyping and Machine Learning

Suresh Neethirajan

Safeguarding Digital Livestock Farming - A Comprehensive Cybersecurity Roadmap for Dairy and Poultry Industries

Suresh Neethirajan

Frontiers Big Data

Satellites track cow burps in Canada’s quiet climate revolution

Suresh Neethirajan

The green AI arithmetic: Are farms saving more carbon than they spend?

Suresh Neethirajan

A Reinforcement Learning Framework for Optimizing Kidney Allocation for Transplant Based on Survival and Ethical Criteria

Syed Asil Ali Naqvi; Karthik Tennankore; George Worthen; Amanda Vinson; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

Stratification of surgical outcomes in trigeminal neuralgia using multimodal data

Timur H Latypov; Rose Yakubov; Daniel Jörgens; Pascale Tsai; Patcharaporn Srisaikaew; Peter Shih-Ping Hung; Matthew R Walker; Marina Tawfik; David Mikulis; Frank Rudzicz; Mojgan Hodaie

Brain Communications

Stratification of surgical outcomes in trigeminal neuralgia using multimodal data

Timur H. Latypov; Rose Yakubov; Daniel Jörgens; Pascale Tsai; Patcharaporn Srisaikaew; Peter Shih-Ping Hung; Matthew R. Walker; Marina Tawfik; David Mikulis; Frank Rudzicz; Mojgan Hodaie

Brain Communications

Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation

Vaishnav Vaidheeswaran; Dilith Jayakody; Samruddhi Mulay; Anand Lo; Md Mahbub Alam; Gabriel Spadon

Trustworthy Medical Question Answering: An Evaluation-Centric Survey

Wang, Yinuo; Mercer, Robert; Rudzicz, Frank; Roy, Sudipta Singha; Ren, Pengjie; Chen, Zhumin; Wang, Xindi

PoE-World: Compositional World Modeling with Products of Programmatic Experts

Wasu Top Piriyakulkij; Yichao Liang; Hao Tang; Adrian Weller; Marta Kryven; Kevin Ellis

Using Word Embeddings to Extract Semantic Relations from Biomedical Texts: Towards Literature-Based Discovery

William Van Woensel; Sushumna S. Pradeep; Ali Daowd; Samina Abidi; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

How to Recover Long Audio Sequences Through Gradient Inversion Attack With Dynamic Segment-based Reconstruction

Xijie Zeng; Frank Rudzicz

Social Behaviour and Strategic Adaptation of LLMs

Xijie Zeng; Frank Rudzicz; Marta Kryven

Social Behaviour and Strategic Adaptation of LLMs in Multiplayer Sequential Games

Xijie Zeng; Frank Rudzicz; Marta Kryven

NeurIPS 2025 Workshop on Bridging Language, Agent, and World Models for Reasoning and Planning

Teleportation Links: Mitigating Catastrophic Forgetting in Decentralized Federated Learning

Xu Wang; Yuanzhu Chen; Qiang Ye; Octavia A. Dobre

IEEE Transactions on Network Science and Engineering

Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information

Yael Bensoussan; Alexandros Sigaras; Anais Rameau; Olivier Elemento; Maria Powell; David Dorr; Philip Payne; Vardit Ravitsky; Jean-Christophe Bélisle-Pipon; Alistair Johnson; Ruth Bahr; Stephanie Watts; Donald Bolser; Jennifer Siu; Jordan Lerner-Ellis; Frank Rudzicz; Micah Boyer; Samantha Salvi Cruz; Yassmeen Abdel-Aty; Toufeeq Ahmed Syed; James Anibal; Stephen Aradi; Ana Sophia Martinez; Shaheen Awan; Steven Bedrick; Isaac Bevers; Rahul Brito; Selina Casalino; John Costello; Iris De Santiago; Enrique Diaz-Ocampo; Mohamed Ebraheem; Ellie Eiseman; Mahmoud Elmahdy; Emily Evangelista; Kenneth Fletcher; Alexander Gelbard; Anna Goldenberg; Karim Hanna; William Hersh; Lochana Jayachandran; Kaley Jenney; Kathy Jenkins; Stacy Jo; Ayush Kalia; Andrea Krussel; Elisa Lapadula; Chloe Loewith; Radhika Mahajan; Vrishni Maharaj; Siyu Miao; Matthew Mifsud; Marian Mikhael; Elijah Moothedan; Yosef Nafii; Tempestt Neal; Karlee Newberry; Evan Ng; Christopher Nickel; Trevor Pharr; Claire Premi-Bortolotto; JM Rahman; Sarah Rohde; Laurie Russell; Suketu Shah; Ahmed Shawkat; Elizabeth Silberholz; Duncan Sutherland; Venkata Swarna Mukhi; Jeffrey Tang; Jamie Toghranegar; Kimberly Vinson; Claire Wilson; Madeleine Zanin; Xijie Zeng; Theresa Zesiewicz; Robin Zhao; Pantelis Zisimopoulos; Satrajit Ghosh

E2E Performance Modeling for Slice-Based Video Streaming With Layered Encoding

Yannan Wei; Qiang Ye; Kaige Qu; Weihua Zhuang; Xuemin Shen

IEEE Transactions on Networking

Energy-Efficient Multi-User Adaptive 360$^

Yannan Wei; Qiang Ye; Weihua Zhuang; Xuemin Shen

IEEE Transactions on Network Science and Engineering

Journal of Agriculture and Food Research

Yashan Dhaliwal; Hangqing Bi; Suresh Neethirajan

Journal of Agriculture and Food Research

A Roadmap towards Scaling, Reasoning and Self-Evolving Foundation Model for Nuclear and Particle Physics

Yihui Ren; Joseph D Osborn; Elizabet Brost; Haiwang Yu; Syed Abidi; Yeonju Go; Peter Boyle; Jin Huang; Alexei Klimentov; Michael Begel; Xin Qian; Torre J Wenaus; Dmitri Denisov; Abhay Deshpande; Meifeng Lin; Shinjae Yoo; Viviana Cavaliere; James C Dunlop; Hong Ma

Trustworthy Medical Question Answering: An Evaluation-Centric Survey

Yinuo Wang; Baiyang Wang; Robert Mercer; Frank Rudzicz; Sudipta Singha Roy; Pengjie Ren; Zhumin Chen; Xindi Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Multi-Agent Transformer-Based Workload Allocation and Worker Selection in Distributed Coded Machine Learning

Yitong Zhou; Qiang Ye; Hui Huang

IEEE Transactions on Cognitive Communications and Networking

Can We Trust AI? Exploring the Effect of Estimated Accuracy and the Actual Performance of Ai Systems on Human-AI Collaboration

Zhaohua Deng; Dan Song; Richard Evans

Journal of Electronic Commerce Research

Netizens’ concerns during COVID-19: a topic evolution analysis of Chinese social media platforms

Zhaohua Deng; Rongyang Ma; Manli Wu; Richard Evans

Knowledge transfer between physicians from different geographical regions in China’s online health communities

Zihao Deng; Zhaohua Deng; Shan Liu; Richard Evans

Information Technology and Management

Enhancing Machine Learning in Abusive Language Detection with Dataset Aggregation

GRPO-RAD: GROUP RELATIVE POLICY OPTIMIZATION FOR RADIOLOGY REPORT SUMMARIZATION

ME-IDS: An Ensemble Transfer Learning Framework Based on Misclassified Samples for Intrusion Detection Systems

Arka Ghosh; Qiang Ye

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Exploring the determinants of happiness in Mexico: The interplay of social networks, psychological well-being, and socioeconomic factors

David Romero-Gomez; Eduardo Ahumada-Tello; Richard Evans; Manuel Castanon-Puga

Transactions on Energy Systems and Engineering Applications

Maritime tracking data analysis and integration with AISdb

Gabriel Spadon; Jay Kumar; Jinkun Chen; Matthew Smith; Casey Hilliard; Sarah Vela; Romina Gehrmann; Claudio DiBacco; Stan Matwin; Ronald Pelot

Mapping Methane-The Impact of Dairy Farm Practices on Emissions Through Satellite Data and Machine Learning

Hanqing Bi; Suresh Neethirajan

Development of a cloud-based IoT system for livestock health monitoring using AWS and python

Harini Shree Bhaskaran; Miriam Gordon; Suresh Neethirajan

Smart Agricultural Technology

Mitigating Pandemics Through the Adaptation of Digital Technologies - Towards a Digital Resilience Framework

M. D. Dzandu; S. De Cesare; R. Evans; Y. Tang

2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

Dairy DigiD A Deep Learning-Based, Non-Invasive Biometric Identification System for Dairy Cattle Using Detectron2

Shubhangi Mahato; Hanqing Bi; Suresh Neethirajan

Metaverse for Enhancing Animal Welfare - Leveraging Sensor Technology and Ethical Considerations

Suresh Neethirajan

Journal of Emerging Computer Technologies

“No claims, no trials, no compensation. Just roll up your sleeve”: social media communication on vaccine uptake sentiments in Canada

Swarna D.S. Weerasinghe; Oladapo Oyebode; Rita Orji

Health & New Media Research

Signatures of chronic pain in multiple sclerosis: a machine learning approach to investigate trigeminal neuralgia

Timur H. Latypov; Abigail Wolfensohn; Rose Yakubov; Jerry Li; Patcharaporn Srisaikaew; Daniel Jorgens; Ashley Jones; Errol Colak; David Mikulis; Frank Rudzicz; Jiwon Oh; Mojgan Hodaie

Decoding Poultry Vocalizations - Natural Language Processing and Transformer Models for Semantic and Emotional Analysis

Venkatraman Manikandan; Suresh Neethirajan

Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting

Gabriel Spadon; Jay Kumar; Derek Eden; Josh van Berkel; Tom Foster; Amilcar Soares; Ronan Fablet; Stan Matwin; Ronald Pelot

Ocean Engineering

Satellite Data and Machine Learning for Benchmarking Methane Concentrations in the Canadian Dairy Industry

Hanqing Bi; Suresh Neethirajan

Augmenting Backpressure Scheduling and Routing for Wireless Computing Networks

KM Mahfujul; Kaige Qu; Qiang Ye; Ning Lu

ICC 2023 - IEEE International Conference on Communications

To continue consultation or not? How physicians’ information cues affect patients continued online consultation behavior

Linlin Jing; Wei Shan; Richard Evans; Xiaoxiao Shi

Electronic Commerce Research

Approximate planning in spatial search

Marta Kryven; Suhyoun Yu; Max Kleiman-Weiner; Tomer Ullman; Joshua Tenenbaum

PLOS Computational Biology

Investigating the influence of socioeconomic deprivation on spatial patterns of traumatic brain injuries through Bayesian spatial modeling

Nelofar Kureshi; Syed Sibte Raza Abidi; David B. Clarke; Weiping Zeng; Cindy Feng

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

Saurabhsingh Rajput; Tim Widmayer; Ziyuan Shang; Maria Kechagia; Federica Sarro; Tushar Sharma

ACM Transactions on Software Engineering and Methodology

Human-computer interactions with farm animals-enhancing welfare through precision livestock farming and artificial intelligence

Suresh Neethirajan; Stacey Scott; Clara Mancini; Xavier Boivin; Elizabeth Strand

Frontiers in Veterinary Science

Implications of carbon Taxing policies on the food supply chain in Canada

Sylvain Charlebois; Gumataw Abebe; Tony R. Walker; Vlado Keselj; Janet Music; Keshava Pallavi Gone; Karim Tuffaha; Janele Vezeau; Bibhuti Sarker; Stacey Taylor

Transportation Research Interdisciplinary Perspectives

Implications of carbon pricing on food affordability and agri-food sector in Canada: A scoping review

Sylvain Charlebois; Swati Saxena; Gumataw Abebe; Tony Walker; Janet Music; Vlado Keselj; Karim Tuffaha; Keshava Pallavi Gone; Janele Vezeau; Bibhuti Sarker; Stacey Taylor

Transportation Research Interdisciplinary Perspectives

Does language concreteness influence consumers’ perceived deception in online reviews?

Xiaoxiao Shi; Wei Shan; Zhaohua Du; Richard David Evans; Qingpu Zhang

European Journal of Marketing

Sophon IDS: Mitigating the Effectiveness of GAN-Based Adversarial Attacks via Tailored Misinformation

Zihao Liu; Qiang Ye; Fangda Cui

Lecture Notes in Computer Science

Curiosity-Driven Energy-Aware Resource Allocation for Internet of Vehicles

Baorui Jia; Yujie Tang

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)

Determinants of Online Medical Decisions for Older Parents: A Discrete Choice Experiment

Bonan Fan; Weifang Song; Wei Zhang; Richard Evans

Early Detection of Lumpy Skin Disease in Cattle Using Deep Learning-A Comparative Analysis of Pretrained Models

Chamirti Senthilkumar; Sindhu C; G. Vadivu; Suresh Neethirajan

Veterinary Sciences

Broken Windows: Exploring the Applicability of a Controversial Theory on Code Quality

Diomidis Spinellis; Panos Louridas; Maria Kechagia; Tushar Sharma

2024 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer

Rached Bouchoucha; Ahmed Haj Yahmed; Darshan Patil; Janarthanan Rajendran; Amin Nikanjam; Sarath Chandar; Foutse Khomh

2024 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Enhancing Identifier Naming Through Multi-Mask Fine-Tuning of Language Models of Code

Sanidhya Vijayvargiya; Mootez Saad; Tushar Sharma

2024 IEEE International Conference on Source Code Analysis and Manipulation (SCAM)

Developing Multi-Disorder Voice Protocols: A team science approach involving clinical expertise, bioethics, standards, and DEI

Anais Rameau; Satrajit Ghosh; Alexandros Sigaras; Olivier Elemento; Jean-Christophe Belisle-Pipon; Vardit Ravitsky; Maria Powell; Alistair Johnson; David Dorr; Philip Payne; Micah Boyer; Stephanie Watts; Ruth Bahr; Frank Rudzicz; Jordan Lerner-Ellis; Shaheen Awan; Don Bolser; Yael Bensoussan

Interspeech 2024

Editorial: Coping with an AI-saturated world: psychological dynamics and outcomes of AI-mediated communication

Anfan Chen; Richard Evans; Runxi Zeng

Frontiers in Psychology

Genetics Navigator: protocol for a mixed methods randomized controlled trial evaluating a digital platform to deliver genomic services in Canadian pediatric and adult populations

Guylaine D’Amours; Marc Clausen; Stephanie Luca; Emma Reble; Rita Kodida; Daniel Assamad; Francois Bernier; Lauren Chad; Gregory Costain; Irfan Dhalla; Hanna Faghfoury; Jan M Friedman; Stacy Hewson; Trevor Jamieson; Josh Silver; Cheryl Shuman; Matthew Osmond; June C Carroll; Rebekah Jobling; Anne-Marie Laberge; Melyssa Aronson; Eriskay Liston; Jordan Lerner-Ellis; Christian Marshall; Michael Brudno; Quynh Pham; Frank Rudzicz; Ronald Cohn; Muhammad Mamdani; Maureen Smith; Serena Shastri-Estrada; Emily Seto; Kevin Thorpe; Wendy Ungar; Robin Z Hayeems; Yvonne Bombard

Multidimensional Analysis of Hypertension in Mexico. A Complex Thinking Approach

Hector Alejandro Acuna-Cid; Richard D. Evans; Ahumada-Tello Eduardo

2024 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC)

Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns

Md Mahbub Alam; Gabriel Spadon; Mohammad Etemad; Luis Torgo; Evangelos Milios

Ocean Engineering

Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns

Md Mahbub Alam; Gabriel Spadon; Mohammad Etemad; Luis Torgo; Evangelos Milios

Ocean Engineering

Metaverse adoption in the manufacturing industry: impact on social and environmental sustainability performance

Muhammad Faraz Mubarak; Morteza Ghobakhloo; Richard Evans; Giedrius Jucevicius; Silvi Asna Prestianawati; Mobashar Mubarik

Asia-Pacific Journal of Business Administration

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression

Sri Harsha Dumpala; Katerina Dikaios; Abraham Nunes; Frank Rudzicz; Rudolf Uher; Sageev Oore

Interspeech 2024

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression

Sri Harsha Dumpala; Katerina Dikaios; Abraham Nunes; Frank Rudzicz; Rudolf Uher; Sageev Oore

Interspeech 2024

Whister: Using Whisper’s representations for Stuttering detection

Vrushank Changawala; Frank Rudzicz

Interspeech 2024

An Information-Geometric Formulation of Pattern Separation and Evaluation of Existing Indices

Harvey Wang; Selena Singh; Thomas Trappenberg; Abraham Nunes

Transforming Supply Chain Management with Industry 4.0: Post-COVID-19 Digital Advancements

Mobashar Mubarik; Saule Maciukaite Zviniene; Muhammad Faraz Mubarak; Morteza Ghobakhloo; Richard Evans

2024 IEEE Colombian Conference on Communications and Computing (COLCOM)

Risk stratification of new-onset psychiatric disorders using clinically distinct traumatic brain injury phenotypes

Nelofar Kureshi; Abraham Nunes; Cindy Feng; David B. Clarke; Syed Sibte Raza Abidi

Archives of Public Health

Expertise Diversity in Online Crowdsourcing Contests: Impacts of Creative Stars on Team Performance

Xiaoxiao Shi; Richard Evans; Wei Shan; Tailai Xu; Huakang Liang

Academy of Management Proceedings

DAS: A DRL-Based Scheme for Workload Allocation and Worker Selection in Distributed Coded Machine Learning

Yitong Zhou; Qiang Ye; Hui Huang

IEEE Internet of Things Journal

Social Exergames in Health and Wellness: A Systematic Review of Trends, Effectiveness, Challenges, and Directions for Future Research

Gerry Chan; Bilikis Banire; Sussan Anukem; Masud Imran; Suraj Meena; Chukwuemeka Nwagu; Oladapo Oyebode; Alaa Alslaity; Ali Arya; Rita Orji

International Journal of Human-Computer Interaction

Direct Augmented Lagrangian Evolution Strategies

Jeremy Porter; Dirk V. Arnold

Proceedings of the Genetic and Evolutionary Computation Conference

Manufacturing in Industry 4.0: A Scoping Review of Open Innovation Practices and Future Research

Muhammad Faraz Mubarak; Richard Evans; Eduardo Ahumada Tello

2024 IEEE Technology and Engineering Management Society (TEMSCON LATAM)

Persuasive Interfaces

Rita Orji; Oladapo Oyebode; Alaa Alslaity

Designing for Usability, Inclusion and Sustainability in Human-Computer Interaction

Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models

Ruixin Song; Gabriel Spadon; Ronald Pelot; Stan Matwin; Amilcar Soares

Scientific Reports

Workload Allocation for Distributed Coded Machine Learning: From Offline Model-Based to Online Model-Free

Yuxuan Jiang; Qiang Ye; Emmanuel Thepie Fapi; Wenting Sun; Fudong Li

IEEE Internet of Things Magazine

Multivariate mapping of seabed grain size parameters in the Bay of Fundy using convolutional neural networks

Benjamin Misiuk; Yan Liang Tan; Michael Z. Li; Thomas Trappenberg; Ahmadreza Alleosfour; Ian W. Church; Vicki Ferrini; Craig J. Brown

Pairwise Functional Connectivity Estimation in Spinocerebellar Ataxia Type 3 Using Sparse Gaussian Markov Network: Integrating Group and Individual Analyses of rs-fMRI

Faezeh Moradi; Jennifer Faber; Carlos R. Hernandez-Castillo

2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery

Isaac Xu; Benjamin Misiuk; Scott C. Lowe; Martin Gillis; Thomas Trappenberg; Craig J. Brown

2024 International Joint Conference on Neural Networks (IJCNN)

The role of mGovernment applications in building trust during public crises: Evidence from the COVID-19 epidemic

Junze Wang; Wei Zhang; Pengyao Jiang; Shen Zhao; Richard Evans

Learning causality structures from electricity demand data

Mariano Maisonnave; Fernando Delbianco; Fernando Tohme; Evangelos Milios; Ana Maguitman

Workplace wellbeing and interior design: A systematic literature review

Nadine Fayyad; Busayawan Lam; Richard Evans; Youngok Choi

Proceedings of DRS

A Topological Data Analysis of Un met Health Care Needs Among Injured Patients

Nelofar Kureshi; Syed Sibte Raza Abidi

2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)

Artificial Intelligence driven Benchmarking Tool for Emission Reduction in Canadian Dairy Farms

Pratik Mukund Parmar; Hangqing Bi; Suresh Neethirajan

Climate Smart Agriculture

Benchmarking Emerging Deep Learning Quantization Methods for Energy Efficiency

Saurabhsingh Rajput; Tushar Sharma

2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C)

Exploring Influence of Feature Toggles on Code Complexity

Tajmilur Rahman; Imran Shalabi; Tushar Sharma

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering

LLMs for Code: The Potential, Prospects, and Problems

2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C)

Genetics providers’ perspectives on the use of digital tools in clinical practice

Whiwon Lee; Daena Hirjikaka; Sonya Grewal; Angela Shaw; Stephanie Luca; Marc Clausen; Yvonne Bombard; Robin Z. Hayeems; Yvonne Bombard; Robin Z. Hayeems; Melyssa Aronson; Francois Bernier; Michael Brudno; June C. Carroll; Lauren Chad; Marc Clausen; Ronald Cohn; Gregory Costain; Irfan Dhalla; Hanna Faghfoury; Jan Friedman; Stacy Hewson; Trevor Jamieson; Rebekah Jobling; Rita Kodida; Anne-Marie Laberge; Jordan Lerner-Ellis; Eriskay Liston; Stephanie Luca; Muhammad Mamdani; Christian R. Marshall; Matthew Osmond; Quynh Pham; Emma Reble; Frank Rudzicz; Emily Seto; Serena Shastri-Estrada; Cheryl Shuman; Josh Silver; Maureen Smith; Kevin Thorpe; Wendy J. Ungar

Genetics in Medicine

Top2Label: Explainable zero shot topic labelling using knowledge graphs

Akhil Chaudhary; Evangelos Milios; Enayat Rajabi

Expert Systems with Applications

Extracting Decision Paths via Surrogate Modeling for Explainability of Black Box Classifiers

Jaber Rad; Karthik Tennankore; Samina Abidi; Syed Sibte Raza Abidi

2024 11th IEEE Swiss Conference on Data Science (SDS)

Feature extraction for exoplanet detection

Joao Pimentel; Joana Amorim; Frank Rudzicz

International Journal of Data Science and Analytics

Decoding the Language of Chickens - An Innovative NLP Approach to Enhance Poultry Welfare

Suresh Neethirajan

Twin farms Nexus - Digital Twins for Sustainable Animal Farming

Suresh Neethirajan

Archives of Animal & Poultry Sciences

Technical efficiency and its convergence among village clinics in rural China: evidence from Shanxi Province

Yun Ye; Richard Evans; Xiaojun Huang; Wei Xu; Wei Lu

Frontiers in Public Health

A pilot study examining the impact of lithium treatment and responsiveness on mnemonic discrimination in bipolar disorder

Dhanyaasri Madanlal; Christian Guinard; Vanessa Pardo Nunez; Suzanna Becker; Julie Garnham; Anouar Khayachi; Simon Leger; Claire O’Donovan; Selena Singh; Shani Stern; Claire Slaney; Thomas Trappenberg; Martin Alda; Abraham Nunes

Journal of Affective Disorders

Plausible reasoning over large health datasets: A novel approach to data analytics leveraging semantics

Hossein Mohammadhassanzadeh; Samina Raza Abidi; Syed Sibte Raza Abidi

Knowledge-Based Systems

Naturalness of Attention: Revisiting Attention in Code Language Models

Mootez Saad; Tushar Sharma

Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results

Spatial Hotspots and Sociodemographic Profiles Associated With Traumatic Brain Injury in Nova Scotia

Nelofar Kureshi; Syed Sibte Raza Abidi; David B. Clarke; Weiping Zeng; Cindy Feng

Journal of Neurotrauma

Greenlight: Highlighting TensorFlow APIs Energy Footprint

Saurabhsingh Rajput; Maria Kechagia; Federica Sarro; Tushar Sharma

Proceedings of the 21st International Conference on Mining Software Repositories

Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0

Proceedings of the 21st International Conference on Mining Software Repositories

Predictive Modeling for Hospital Readmissions for Patients With Heart Disease: An Updated Review From 2012-2023

Wei Zhang; Weihan Cheng; Koichi Fujiwara; Richard Evans; Chengyan Zhu

IEEE Journal of Biomedical and Health Informatics

Another virtue of wavelet forests

Aaron Hong; Christina Boucher; Travis Gagie; Yansong Li; Norbert Zeh

2024 Data Compression Conference (DCC)

Context is not key: Detecting Alzheimer’s disease with both classical and transformer-based neural language models

Behrad TaghiBeyglou; Frank Rudzicz

Natural Language Processing Journal

A near-linear kernel for bounded-state parsimony distance

Elise Deen; Leo van Iersel; Remie Janssen; Mark Jones; Yukihiro Murakami; Norbert Zeh

Journal of Computer and System Sciences

Common N-Gram Method (CNG): A Promising Approach to Detecting Mental Health Disorders on Social Media

Harshit Agarwal; Vlado Keselj

2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH)

Scalarizing Multi-Objective Robot Planning Problems Using Weighted Maximization

Nils Wilde; Stephen L. Smith; Javier Alonso-Mora

IEEE Robotics and Automation Letters

Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems

Oladapo Oyebode; Darren Steeves; Rita Orji

User Modeling and User-Adapted Interaction

SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration

Stephen Brade; Bryan Wang; Mauricio Sousa; Gregory Lee Newsome; Sageev Oore; Tovi Grossman

Proceedings of the 29th International Conference on Intelligent User Interfaces

A survey on machine learning techniques applied to source code

Tushar Sharma; Maria Kechagia; Stefanos Georgiou; Rohit Tiwari; Indira Vats; Hadi Moazen; Federica Sarro

Journal of Systems and Software

Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge

Gabriel Spadon; Ruixin Song; Ronald Pelot; Stan Matwin; Amilcar Soares

Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques

Hamed Jelodar; Rita Orji; Stan Matwin; Swarna Weerasinghe; Oladapo Oyebode; Yongli Wang

Journal of Ambient Intelligence and Humanized Computing

Getting to know my disease better: The influence of linguistic features of patients’ self-disclosure on physicians’ social support in online health consultation

Linlin Jing; Wei Shan; Richard David Evans; Xiaoxiao Shi

Electronic Markets

Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence

Luyang Liu; Shaochuan Wu; Qiang Ye; Yongkui Ma

IEEE Internet of Things Journal

Local government social media use, citizen satisfaction, and citizen compliance: Evidence from the COVID-19 outbreak in Shanghai

Qiang Chen; Yangyi Zhang; Richard Evans

International Journal of Disaster Risk Reduction

Intentional news avoidance on short-form video platforms: a moderated mediation model of psychological reactance and relative entertainment motivation

Runxi Zeng; Siting Guo; Richard Evans

Humanities and Social Sciences Communications

Genotype-specific spinal cord damage in spinocerebellar ataxias: an ENIGMA-Ataxia study

Thiago Junqueira Ribeiro Rezende; Isaac Adanyaguh; Orlando G P Barsottini; Benjamin Bender; Fernando Cendes; Leo Coutinho; Andreas Deistung; Imis Dogan; Alexandra Durr; Juan Fernandez-Ruiz; Sophia L Goricke; Marina Grisoli; Carlos R Hernandez-Castillo; Christophe Lenglet; Caterina Mariotti; Alberto R M Martinez; Breno K Massuyama; Fanny Mochel; Lorenzo Nanetti; Anna Nigri; Sergio E Ono; Gulin Oz; Jose Luiz Pedroso; Kathrin Reetz; Matthis Synofzik; Helio Teive; Sophia I Thomopoulos; Paul M Thompson; Dagmar Timmann; Bart P C van de Warrenburg; Judith van Gaalen; Marcondes C Franca; Ian H Harding

Journal of Neurology, Neurosurgery & Psychiatry

The impact of electronic word-of-mouth on patients’ choices in online health communities: A cross-media perspective

Wei Shan; Jiaxuan Wang; Xiaoxiao Shi; Richard David Evans

Journal of Business Research

SARS-CoV-2’s brain impact: revealing cortical and cerebellar differences via cluster analysis in COVID-19 recovered patients

Angel Omar Romero-Molina; Gabriel Ramirez-Garcia; Amanda Chirino-Perez; David Alejandro Fuentes-Zavaleta; Carlos Roberto Hernandez-Castillo; Oscar Marrufo-Melendez; Diana Lopez-Gonzalez; Monica Rodriguez-Rodriguez; Armando Castorena-Maldonado; Yaneth Rodriguez-Agudelo; Francisco Paz-Rodriguez; Mireya Chavez-Oliveros; Susana Lozano-Tovar; Alonso Gutierrez-Romero; Antonio Arauz-Gongora; Raul Anwar Garcia-Santos; Juan Fernandez-Ruiz

Neurological Sciences

Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept

Anton Nikouline; Jinyue Feng; Frank Rudzicz; Avery Nathens; Brodie Nolan

European Journal of Trauma and Emergency Surgery

No one can whistle a symphony: harnessing team member ability to shape tone in the operating room

Hillary Lia; Melanie Hammond Mobilio; Frank Rudzicz; Carol-anne Moulton

Global Surgical Education - Journal of the Association for Surgical Education

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing

Marissa Ramirez De Chanlatte; Phil Colella; Trevor Darrell; Alexandra Katherine Carlson; Peter H.N. De With; Huayu Deng; Shanyan Guan; James Hays; Tim Houben; Thomas Huisman; Nikita Jaipuria; Hans Johansen; Shuja Khalid; Akshay Krishnan; Chuming Li; Maxim Pisarenco; Amit Raj; Frank Rudzicz; Tim J. Schoonbeek; Sandhya Sridhar; Nathan Tseng; Fons Van Der Sommen; Chen Wang; Yunbo Wang; Tong Wu; Xiaokang Yang; Jiawei Yao; Derek Young; Xianling Zhang

2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Utilizing Topological Clustering on a Traumatic Brain Injury Cohort: The Association of Neighborhood Socioeconomic Deprivation Profiles with Injury Mortality

Nelofar Kureshi; David B. Clarke; Syed Sibte Raza Abidi

Proceedings of the 2024 Australasian Computer Science Week

Digital Therapeutics for COPD Patient Self-Management: Needs Analysis and Design Study

Samina Raza Abidi; Tracey Rickards; William Van Woensel; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

Predicting Urgent Dialysis at Ambulance Transport to the Emergency Department Using Machine Learning Methods

Sheida Majouni; Karthik Tennankore; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

Net Zero Dairy Farming-Advancing Climate Goals with Big Data and Artificial Intelligence

Suresh Neethirajan

Characterizing Cluster-Based Frailty Phenotypes in a Multicenter Prospective Cohort of Kidney Transplant Candidates

Syed Hani Raza Abidi; Nur Zincir-Heywood; Syed Sibte Raza Abidi; Kranthi Jalakam; Samina Abidi; Lakshman Gunaratnam; Rita Suri; Heloise Cardinale; Amanda Vinson; Bhanu Prasad; Michael Walsh; Seychelle Yohanna; George Worthen; Karthik Tennankore

Studies in Health Technology and Informatics

Ensemble Clustering to Generate Phenotypes of Kidney Transplant Donors and Recipients

Syed Sibte Raza Abidi; Kranthi Jalakam; Syed Hani Raza Abidi; Karthik Tennankore

Studies in Health Technology and Informatics

Promoting child and adolescent health through wearable technology: A systematic review

Wei Zhang; Keying Xiong; Chengyan Zhu; Richard Evans; Lijuan Zhou; Christine Podrini

Length of Stay Prediction Models for Oral Cancer Surgery: Machine Learning, Statistical and ACS-NSQIP

A. Namavarian; Alexander Gabinet-Equihua; Yangqing Deng; Shuja Khalid; H. Ziai; Konrado Deutsch; Jingyue Huang; Ralph W Gilbert; David Goldstein; Christopher M K L Yao; Jonathan C. Irish; Danny J Enepekides; Kevin M Higgins; Frank Rudzicz; A. Eskander; Wei Xu; John R. De Almeida

The Laryngoscope

Systems and methods for configuring and operating de-identification systems

AS CHAUDHRY; F RUDZICZ; S KHALID; K Yang; TP GRANTCHAROV

Depression-Anxiety Coupling Strength as a Predictor of Relapse in Major Depressive Disorder: A CAN-BIND Wellness Monitoring Study Report

Abraham Nunes; Barbara Pavlova; Jasmyn Cunningham; John-Jose Nuñez; Lena C. Quilty; Jane Foster; Keith Ho; Raymond W. Lam; Valerie H. Taylor; Roumen Milev; Susan Rotzinger; Claudio N. Soares; Kate L. Harkness; Gustavo Turecki; Sidney Kennedy; Benicio N. Frey; Frank Rudzicz; Rudolf Uher

Journal of Affective Disorders

Personalized Persuasive Technologies in Health and Wellness: From Theory to Practice

Alaa Alslaity; Oladapo Oyebode; Julita Vassileva; Rita Orji

Human-Computer Interaction Series

Regret-Based Sampling of Pareto Fronts for Multiobjective Robot Planning Problems

Alexander Botros; Nils Wilde; Armin Sadeghi; Javier Alonso-Mora; Stephen L. Smith

IEEE Transactions on Robotics

Can large language models be privacy preserving and fair medical coders?

Ali Dadsetan; Dorsa Soleymani; Xijie Zeng; Frank Rudzicz

Can large language models be privacy preserving and fair medical coders?

Ali Dadsetan; Dorsa Soleymani; Xijie Zeng; Frank Rudzicz

Conformal mirror descent with logarithmic divergences

Amanjit Singh Kainth; Ting-Kam Leonard Wong; Frank Rudzicz

Information Geometry

Length of Stay Prediction Models for Oral Cancer Surgery: Machine Learning, Statistical and ACS-NSQIP

Amirpouyan Namavarian; Alexander Gabinet-Equihua; Yangqing Deng; Shuja Khalid; Hedyeh Ziai; Konrado Deutsch; Jingyue Huang; Ralph W. Gilbert; David P. Goldstein; Christopher M.K.L. Yao; Jonathan C. Irish; Danny J. Enepekides; Kevin M. Higgins; Frank Rudzicz; Antoine Eskander; Wei Xu; John R. de Almeida

The Laryngoscope

Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof‐of‐concept

Anton Nikouline; Jinyue Feng; Frank Rudzicz; Avery Nathens; Brodie Nolan

European Journal of Trauma and Emergency Surgery

Language Model-In-The-Loop: Data Optimal Approach to Recommend Actions in Text Games

Arjun V Sudhakar; Prasanna Parthasarathi; Janarthanan Rajendran; Sarath Chandar

Workshop on Training Agents with Foundation Models at RLC

Systems and methods for electronic prediction of rubric assessments

B Cepuran; M Jankowska; C Conrad; J Harris; V Keselj

Context Is Not Key: Detecting Alzheimer’s Disease with Both Classical and Transformer-Based Neural Language Models

Behrad TaghiBeyglou; Frank Rudzicz

Natural Language Processing Journal

Show, Don’t Tell: Uncovering Implicit Character Portrayal using LLMs

Brandon Jaipersaud; Zining Zhu; Frank Rudzicz; Elliot Creager

Show, don’t tell: Uncovering implicit character portrayal using LLMs

Brandon Jaipersaud; Zining Zhu; Frank Rudzicz; Elliot Creager

Creativity and AI at NeurIPS

Multi Modal Information Fusion of Acoustic and Linguistic Data for Decoding Dairy Cow Vocalizations in Animal Welfare Assessment

Bubacarr Jobarteh; Madalina Mincu; Gavojdian Dinu; Suresh Neethirajan

Addressing Climate Change in the Canadian Poultry Industry via Satellite-Based Methane Emission Analysis

Bubacarr Jobarteh; Suresh Neethirajan

Truro Research Day, Faculty of Agriculture, Dalhousie University

Comparative Analysis of Deep Learning Models for Early Detection of Lumpy Skin Disease in Cattle

Chamirti Senthilkumar; Sindhu C; Vadivu G; Suresh Neethirajan

Training Robust Classifiers with Diffusion Denoised Examples

Chandramouli Shama; Sastry; Sri Harsha; Dumpala

Synthetic Data for Computer Vision Workshop@ CVPR 2024

From the Screen to the Streets: Technology-Facilitated Violence Against Public Health Professionals

Cheryl Regehr; Kaitlyn Regehr; Vivek Goel; Kelly Lyons; Frank Rudzicz

Journal of Loss and Trauma

Artificial Intelligence-based Emotion Detection in Dairy Cows

Christopher Gonzalez; Suresh Neethirajan

Truro Research Day, Faculty of Agriculture, Dalhousie University

Intelligent Switching for Reset-Free RL

Darshan Patil; Janarthanan Rajendran; Glen Berseth; Sarath Chandar

Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure

David Arps; Laura Kallmeyer; Younes Samih; Hassan Sajjad

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Representation Noising: A Defence Mechanism Against Harmful Finetuning

David Atanasov; Lukasz Bartoszcze; Robie Gonzales; Subhabrata Majumdar; Carsten Maple; Domenic Rosati; Frank Rudzicz; Hassan Sajjad; Jan Wehner; Kai Williams

Advances in Neural Information Processing Systems 37

Representation Noising: A Defence Mechanism Against Harmful Finetuning

David Atanasov; Lukasz Bartoszcze; Robie Gonzales; Subhabrata Majumdar; Carsten Maple; Domenic Rosati; Frank Rudzicz; Hassan Sajjad; Jan Wehner; Kai Williams

Advances in Neural Information Processing Systems 37

A First-Order Variable Metric Method Invariant to Strictly Increasing Function Value Transformations

Dirk V Arnold; Yuhan Fu

Defending against Reverse Preference Attacks is Difficult

Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad

Defending against reverse preference attacks is difficult

Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad

Defending against reverse preference attacks is difficult

Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad

Evaluating Defences against Unsafe Feedback in RLHF

Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad

Evaluating Defences against Unsafe Feedback in RLHF

Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad

Evaluating Defences against Unsafe Feedback in RLHF

Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad

Representation noising effectively prevents harmful fine-tuning on llms

Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; David Atanasov; Robie Gonzales; Subhabrata Majumdar; Carsten Maple; Hassan Sajjad; Frank Rudzicz

Representation noising effectively prevents harmful fine-tuning on llms

Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; David Atanasov; Robie Gonzales; Subhabrata Majumdar; Carsten Maple; Hassan Sajjad; Frank Rudzicz

Immunization against harmful fine-tuning attacks

Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Hassan Sajjad; Frank Rudzicz

Findings of the Association for Computational Linguistics: EMNLP 2024

Immunization against harmful fine-tuning attacks

Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Hassan Sajjad; Frank Rudzicz

Findings of the Association for Computational Linguistics: EMNLP 2024

Immunization against harmful fine-tuning attacks

Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Hassan Sajjad; Frank Rudzicz

Representation noising effectively prevents harmful fine-tuning on LLMs

Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Robie Gonzales; carsten maple; Subhabrata Majumdar; Hassan Sajjad; Frank Rudzicz

Immunization against harmful fine-tuning attacks

Domenic Rosati; Jan Wehner; Kai Williams; Łukasz Bartoszcze; Jan Batzner; Hassan Sajjad; Frank Rudzicz

Long-form evaluation of model editing

Domenic Rosati; Robie Gonzales; Jinkun Chen; Xuemin Yu; Yahya Kayani; Frank Rudzicz; Hassan Sajjad

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Long-form evaluation of model editing

Domenic Rosati; Robie Gonzales; Jinkun Chen; Xuemin Yu; Yahya Kayani; Frank Rudzicz; Hassan Sajjad

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Long-form evaluation of model editing

Domenic Rosati; Robie Gonzales; Jinkun Chen; Xuemin Yu; Yahya Kayani; Frank Rudzicz; Hassan Sajjad

Explaining the role of Intrinsic Dimensionality in Adversarial Training

Enes Altinisik; Safa Messaoud; Husrev Taha Sencar; Hassan Sajjad; Sanjay Chawla

Exploiting the layered intrinsic dimensionality of deep models for practical adversarial training

Enes Altinisik; Safa Messaoud; Husrev Taha Sencar; Hassan Sajjad; Sanjay Chawla

Collaborative Innovation Performance Within Platform-Based Innovation Ecosystems: Identifying Relational Strategies With fsQCA

Fenfen Wei; Nanping Feng; Bixiang Shi; Richard David Evans

IEEE Transactions on Engineering Management

Recommending content to user accounts on a social messaging platform

G Wu; JP Ng; Y Brumer

System and method for adversarial vulnerability testing of machine learning models

GMA CASTIGLIONE; W Ding; SH AMROABADI; G Wu; CC SRINIVASA

The Genetics Navigator: Protocol for a Mixed Methods Randomized Controlled Trial Evaluating a Digital Platform to Deliver Genomic Services

Guylaine D’Amours; Marc Clausen; Stephanie Luca; Emma Reble; Rita Kodida; Daniel Assamad; François Bernier; Lauren Chad; Gregory Costain; Irfan Dhalla; Hanna Faghfoury; Jan Friedman; Stacey Hewson; Trevor Jamieson; Josh Silver; Cheryl Shuman; Matthew Osmond; June C Carroll; Rebekah Jobling; Anne-Marie Laberge; Melyssa Aronson; Eriskay Liston; Jordan Lerner-Ellis; Christian Marshall; Michael Brudno; Quynh Pham; Frank Rudzicz; Ronald Cohn; Muhammad Mamdani; Maureen Smith; Serena Shastri-Estrada; Emily Seto; Kevin Thorpe; Wendy J. Ungar; Robin Hayeems; Yvonne Bombard

Resolving Lexical Bias in Edit Scoping with Projector Editor Networks

Hammad Rizwan; Domenic Rosati; Ga Wu; Hassan Sajjad

Resolving Lexical Bias in Model Editing

Hammad Rizwan; Domenic Rosati; Ga Wu; Hassan Sajjad

Resolving Lexical Bias in Model Editing

Hammad Rizwan; Domenic Rosati; Ga Wu; Hassan Sajjad

Instance-Level Difficulty: A Missing Perspective in Machine Unlearning

Hammad Rizwan; Mahtab Sarvmaili; Hassan Sajjad; Ga Wu

AI-driven benchmarking tool for methane emissions in dairy cows using satellite imaging

Hanqing Bi; Suresh Neethirajan

Truro Research Day, Faculty of Agriculture, Dalhousie University

Advancing Dairy Cow Welfare - Utilizing Large Language Models for Behavioral Analysis

Hariesh Sivakumar; Suresh Neethirajan

Truro Research Day, Faculty of Agriculture, Dalhousie University

It’s Not the Arrow, It’s the Archer: The Role of the Surgeon Leader in a Safety Driven-Era

Hillary Lia; Melanie Hammond Mobilio; Frank Rudzicz; Carol-anne Moulton

Surgical Endoscopy

How Well Can Knowledge Edit Methods Edit Perplexing Knowledge?

Huaizhi Ge; Frank Rudzicz; Zining Zhu

Understanding Language Model Circuits through Knowledge Editing

Huaizhi Ge; Frank Rudzicz; Zining Zhu

What do the circuits mean? a knowledge edit view

Huaizhi Ge; Frank Rudzicz; Zining Zhu

Library Learning Doesn’t: The Curious Case of the Single-Use “Library”

Ian Berlot-Attwell; Frank Rudzicz; Xujie Si

Library Learning Doesn’t: The Curious Case of the Single-Use "Library"

Ian Berlot-Attwell; Frank Rudzicz; Xujie Si

MATH-AI at NeurIPS

Generating refactored code accurately using reinforcement learning

Indranil Palit; Tushar Sharma

Label-free Monitoring of Self-Supervised Learning Progress

Isaac Xu; Scott Lowe; Thomas Trappenberg

Developing innovative interdisciplinary technological solutions for caregivers of older adults within Canada’s technology and aging network

Annals of Physical and Rehabilitation Medicine

Fairness Incentives in Response to Unfair Dynamic Pricing

Jesse Thibodeau; Hadi Nekoei; Afaf Taik; Janarthanan Rajendran; Golnoosh Farnadi

Feature extraction for exoplanet detection

Joao Pimentel; Joana Amorim; Frank Rudzicz

International Journal of Data Science and Analytics

A Simple 4-Approximation Algorithm for Maximum Agreement Forests on Multiple Unrooted Binary Trees

Jordan Arthur Dempsey; Leo van Iersel; Norbert Zeh; Mark Jones

Information Processing Letters

A Wild Sheep Chase Through an Orchard

Jordan Dempsey; Leo van Iersel; Mark Jones; Yukihiro Murakami; Norbert Zeh

Within-basket Recommendation via Neural Pattern Associator

Kai Luo; Tianshu Shen; Lan Yao; Ga Wu; Aaron Liblong; Istvan Fehervari; Ruijian An; Jawad Ahmed; Harshit Mishra; Charu Pujari

A Survey of Industrial AIoT: Opportunities, Challenges, and Directions

Kamran Sattar Awaisi; Qiang Ye; Srinivas Sampalli

A Generalized Transformer-based Radio Link Failure Prediction Framework in 5G RANs

Kazi Hasan; Thomas Trappenberg; Israat Haque

Data-centric Prediction Explanation via Kernelized Stein Discrepancy

Mahtab Sarvmaili; Hassan Sajjad; Ga Wu

Data-centric Prediction Explanation via Kernelized Stein Discrepancy

Mahtab Sarvmaili; Hassan Sajjad; Ga Wu

Towards Understanding the Feasibility of Machine Unlearning

Mahtab Sarvmaili; Hassan Sajjad; Ga Wu

Towards Understanding the Feasibility of Machine Unlearning

Mahtab Sarvmaili; Hassan Sajjad; Ga Wu

Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights

Maksym Taranukhin; Sahithya Ravi; Gabor Lukacs; Evangelos Milios; Vered Shwartz

Proceedings of the Natural Legal Language Processing Workshop 2024

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning

Maksym Taranukhin; Vered Shwartz; Evangelos Milios

Mastering Memory Tasks with World Models

Mohammad Reza Samsami; Artem Zholus; Janarthanan Rajendran; Sarath Chandar

CONCORD: Towards a DSL for Configurable Graph Code Representation

Mootez Saad; Tushar Sharma

Collaborative Innovation in Manufacturing

Muhammad Faraz Mubarak; Richard Evans

IEEE TEMS Leadership BRIEFS

Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities

Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan Markus Schedl

Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach

Muhammad Saad Saeed; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Haris Khan; Karthik Nandakumar; Muhammad Haroon Yousaf; Hassan Sajjad; Tom De Schepper; Markus Schedl

Statistically Distinct Plans for Multiobjective Task Assignment

Nils Wilde; Javier Alonso-Mora

IEEE Transactions on Robotics

Towards an AI-enabled and Emotion-Adaptive Persuasive Technology for Improving Mental Health and Well-being

Oladapo Oyebode

Emotion Detection from Real-Life Situations Based on Journal Entries Using Machine Learning and Deep Learning Techniques

Oladapo Oyebode; Ruth Ogubuike; Darlington Daniel; Rita Orji

Lecture Notes in Networks and Systems

Scenarios and Approaches for Situated Natural Language Explanations

Pengshuo Qiu; Frank Rudzicz; Zining Zhu

Learning conditional policies for crystal design using offline reinforcement learning

Prashant Govindarajan; Santiago Miret; Jarrid Rector-Brooks; Mariano Phielipp; Janarthanan Rajendran; Sarath Chandar

Digital Discovery

The Utility and Implications of Ambient Scribe in Primary Care

Puneet Seth; Romina Carretas; Frank Rudzicz

DimenFix: a Novel Meta-Dimensionality Reduction Strategy for Feature Preservation

Qiaodan Luo; Leonardo Christino; Evangelos Milios; Fernando V. Paulovich

EuroVis Workshop on Visual Analytics (EuroVA)

Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models

Raeid Saqur; Anastasis Kratsios; Blanka Horvath; Jacob-Junqi Tian; John Willes; Florian Krach; Yannick Limmer; Frank Rudzicz

NIFTY

Raeid Saqur; Ken Kato; Nicholas Vinden; Frank Rudzicz

NIFTY Financial News Headlines Dataset

Raeid Saqur; Ken Kato; Nicholas Vinden; Frank Rudzicz

A Retrieval Augmented Approach for Text-to-Music Generation

Robie Gonzales; Frank Rudzicz

Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA)

LLM-Generated Black-box Explanations Can Be Adversarially Helpful

Rohan Ajwani; Shashidhar Reddy Javaji; Frank Rudzicz; Zining Zhu

LLM-Generated Black-box Explanations Can Be Adversarially Helpful

Rohan Ajwani; Shashidhar Reddy Javaji; Frank Rudzicz; Zining Zhu

LLM

Rohan Deepak Ajwani; Shashidhar Reddy Javaji; Frank Rudzicz; Zining Zhu

RegML at NeurIPS

Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation

Rohan Deepak Ajwani; Zining Zhu; Jonathan Rose; Frank Rudzicz

Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation

Rohan Deepak Ajwani; Zining Zhu; Jonathan Rose; Frank Rudzicz

Towards Understanding Human Emotional Fluctuations with Sparse Check-In Data

Sagar Paresh Shah; Ga Wu; Sean W. Kortschot; Samuel Daviau

Filtered not Mixed

Saqur, Raeid; Kratsios, Anastasis; Krach, Florian; Limmer, Yannick; Tian, Jacob-Junqi; Willes, John; Horvath, Blanka; Rudzicz, Frank

Balancing Context Length and Mixing Times for Reinforcement Learning at Scale

Sarath Chandar; Khimya Khetarpal; Janarthanan Rajendran; Matthew Riemer

Advances in Neural Information Processing Systems 37

An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders

Scott C. Lowe; Joakim Bruslund Haurum; Sageev Oore; Thomas B. Moeslund; Graham W. Taylor

Predicting Individual Depression Symptoms from Acoustic Features During Speech

Sebastian Rodriguez; Sri Harsha Dumpala; Katerina Dikaios; Sheri Rempel; Rudolf Uher; Sageev Oore

Quantifying the Capabilities of LLMs across Scale and Precision

Sher Badshah; Hassan Sajjad

Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA

Sher Badshah; Hassan Sajjad

Cutting-Edge AI-Powered System for Comprehensive Classification of Dairy Cattle

Shubhangi Mahato; Hanqing Bi; Suresh Neethirajan

Truro Research Day, Faculty of Agriculture, Dalhousie University

RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters

Shuja Khalid; Frank Rudzicz

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations

Sri Dumpala; Aman Jaiswal; Evangelos Milios; Sageev Oore; Hassan Sajjad; Chandramouli Sastry

Advances in Neural Information Processing Systems 37

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations

Sri Dumpala; Aman Jaiswal; Evangelos Milios; Sageev Oore; Hassan Sajjad; Chandramouli Sastry

Advances in Neural Information Processing Systems 37

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations

Sri Dumpala; Aman Jaiswal; Evangelos Milios; Sageev Oore; Hassan Sajjad; Chandramouli Sastry

Advances in Neural Information Processing Systems 37

DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers

Sri Dumpala; Sageev Oore; Chandramouli Sastry

Advances in Neural Information Processing Systems 37

Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts

Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Sastry; Evangelos Milios; Sageev Oore; Hassan Sajjad

Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts

Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Sastry; Evangelos Milios; Sageev Oore; Hassan Sajjad

Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts

Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Sastry; Evangelos Milios; Sageev Oore; Hassan Sajjad

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations

Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Sastry; Evangelos Milios; Sageev Oore; Hassan Sajjad

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations

Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Sastry; Evangelos Milios; Sageev Oore; Hassan Sajjad

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations

Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Sastry; Evangelos Milios; Sageev Oore; Hassan Sajjad

Test-Time Training for Depression Detection

Sri Harsha Dumpala; Chandramouli Shama Sastry; Rudolf Uher; Sageev Oore

Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models

Sri Harsha Dumpala; David Arps; Sageev Oore; Laura Kallmeyer; Hassan Sajjad

Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models

Sri Harsha Dumpala; David Arps; Sageev Oore; Laura Kallmeyer; Hassan Sajjad

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression

Sri Harsha Dumpala; Katerina Dikaios; Abraham Nunes; Frank Rudzicz; Rudolf Uher; Sageev Oore

Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification

Sudipta Singha Roy; Xindi Wang; Robert Mercer; Frank Rudzicz

Findings of the Association for Computational Linguistics: EMNLP 2024

Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification

Sudipta Singha Roy; Xindi Wang; Robert Mercer; Frank Rudzicz

Advancing Climate Goals in Agriculture with Big Data and Artificial Intelligence

Suresh Neethirajan

Truro Research Day, Faculty of Agriculture, Dalhousie University

Digital Livestock Farming 2030 and Beyond

Suresh Neethirajan

Springer Proceedings in Information and Communication Technologies

Digital twins in animal farming: Tackling climate change and enhancing sustainability

Suresh Neethirajan

Enhancing Animal Welfare through Artificial Intelligence - A Multimodal Approach to Assessing Emotional States in Farm Animals

Suresh Neethirajan

2024 International Society for Research on Emotion, Queen’s University Belfast, UK

From predictive analytics to emotional recognition-The evolving landscape of cognitive computing in animal welfare

Suresh Neethirajan

International Journal of Cognitive Computing in Engineering

Green horizons - transforming dairy farming with AI and big data

Suresh Neethirajan

Listening to cows: Unlocking the secrets of cow communication with AI

Suresh Neethirajan

Next-Generation Livestock Management - Embracing AI and Big Data in Modern Animal Farming

Suresh Neethirajan

Invited Talk - National Dairy Research Institute, Karnal, India

Rethinking Poultry Welfare - Multifactorial and Digital Approaches to Enhance Animal Well-Being

Suresh Neethirajan

Signatures of chronic pain in multiple sclerosis: a machine learning approach to investigate trigeminal neuralgia

Timur H. Latypov; Abigail Wolfensohn; Rose Yakubov; Jerry Li; Patcharaporn Srisaikaew; Daniel J</div>

Artificial Intelligence and Satellite-Based GHG Benchmarking for Canadian Poultry Farms

Umang Mehta; Suresh Neethirajan

The Future of Farming - Digital Transformation in Agriculture, Livestock, and Aquaculture - Dalhousie University and SRM University

Decoding Poultry Vocalizations Time-Series and Semantic Analysis of Stress Indicators

Venkatraman Manikandan; Suresh Neethirajan

Truro Research Day, Faculty of Agriculture, Dalhousie University

Whister: Using Whisper’s representations for Stuttering detection

Vrushank Changawala; Frank Rudzicz

The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories

Xi Yu Huang; Krishanapriya Vishnubhotla; Frank Rudzicz

Workshop on Narrative Understanding at EMNLP

The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories

Xi Yu Huang; Krishnapriya Vishnubhotla; Frank Rudzicz

The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories

Xi Yu Huang; Krishnapriya Vishnubhotla; Frank Rudzicz

arXiv preprint arXiv:2406.16767

A Meta-Analysis Integrating External Knowledge Search Research: Antecedents, Consequences, and Boundary Conditions

Xiaoxiao Shi; Richard David Evans; Wei Shan

IEEE Transactions on Engineering Management

What Motivates Solvers’ Participation in Crowdsourcing Platforms in China? A Motivational-Cognitive Model

Xiaoxiao Shi; Richard David Evans; Wei Shan

IEEE Transactions on Engineering Management

Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification

Xindi Wang; Robert E. Mercer; Frank Rudzicz

Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification

Xindi Wang; Robert E. Mercer; Frank Rudzicz

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation

Xindi Wang; Robert Mercer; Frank Rudzicz

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation

Xindi Wang; Robert Mercer; Frank Rudzicz

Latent Concept-based Explanation of NLP Models

Xuemin Yu; Fahim Dalvi; Nadir Durrani; Marzia Nouri; Hassan Sajjad

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Developing Multi-Disorder Voice Protocols: A team science approach involving clinical expertise, bio-ethics, standards and DEI

Yael Bensoussan; Satrajit Ghosh; Anais Rameau; Micah Boyer; Ruth Bahr; Stephanie Watts; Frank Rudzicz; Don Bolser; Jordan Lerner-Ellis; Shaheen Awan; Maria Powell; Jean-Christophe Belisle-Pipon; Vardit Ravitsky; Alistair Johnson; Alexandros Sigaras; Olivier Elemento; David Dorr; Philip Payne

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion

Yujia Huang; Adishree Ghatare; Yuanzhe Liu; Ziniu Hu; Qinsheng Zhang; Chandramouli S Sastry; Siddharth Gururani; Sageev Oore; Yisong Yue

Physician Satisfaction With Clinical Decision Support Systems: Impact of Technology Identity and Computer Self-Efficacy

Zhaohua Deng; Yali Wang; Gang Li; Richard Evans

IEEE Transactions on Engineering Management

An Object-Oriented Approach to the Modular Design of Mechatronic Systems

Zhinan Zhang; Xun Zhuge; Xiang Li; Richard Evans; Ang Liu

IEEE Transactions on Engineering Management

Impact of AI on employee well-being and decision-making: Insights from OECD member countries

Eduardo Ahumada-Tello; Richard D. Evans; David Romero-Gomez; Jessica Lopez-Garcia; Manuel Castanon-Puga

2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)

Multi-Cell Over-the-Air Computation Systems With Spectrum Sharing: A Perspective From \(\alpha\)-Fairness

Fudong Li; Qiang Ye; Emmanuel Thepie Fapi; Wenting Sun; Yuxuan Jiang

IEEE Transactions on Vehicular Technology

Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter

Ga Wu; Shivam Khare; Li Zhou; Yael Brumer; Jun-Ping Ng; Ruowei Wang

2023 IEEE International Conference on Big Data (BigData)

Long-Term Prediction of Remaining Useful Life for Industrial IoT

Kamran Sattar Awaisi; Qiang Ye; Srinivas Sampalli

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

Designing Heterogeneous Robot Fleets for Task Allocation and Sequencing

Nils Wilde; Javier Alonso-Mora

2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)

Utilizing Autoencoder to Improve the Robustness of Intrusion Detection Systems Against Adversarial Attacks

Patricia Kibenge-MacLeod; Qiang Ye; Fangda Cui

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering

Shamak Dutta; Nils Wilde; Stephen L. Smith

2023 62nd IEEE Conference on Decision and Control (CDC)

Improving estimates of pertussis burden in Ontario, Canada 2010–2017 by combining validation and capture-recapture methodologies

Shilo H. McBurney; Jeffrey C. Kwong; Kevin A. Brown; Frank Rudzicz; Andrew Wilton; Natasha S. Crowcroft

Validating pertussis data measures using electronic medical record data in Ontario, Canada 1986-2016

Shilo H. McBurney; Jeffrey C. Kwong; Kevin A. Brown; Frank Rudzicz; Branson Chen; Elisa Candido; Natasha S. Crowcroft

Innovative Strategies for Sustainable Dairy Farming in Canada amidst Climate Change

Suresh Neethirajan

Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses

Suresh Neethirajan

Factors influencing public engagement in government TikTok during the COVID-19 crisis

Wei Zhang; Hui Yuan; Chengyan Zhu; Qiang Chen; Richard David Evans; Chen Min

The Electronic Library

Navigating environmental regulations: The impact on firms’ investments in pollutant purification facilities in China

Wenyu Li; Wei Shan; Richard David Evans

Journal of Cleaner Production

Sum-of-Local-Effects Data Structures for Separable Graphs

Xing Lyu; Travis Gagie; Meng He; Yakov Nekrich; Norbert Zeh

Lecture Notes in Computer Science

RLC: A Reinforcement Learning Based Charging Scheme for Battery Swap Stations

Yutao Xu; Qiang Ye; Yujie Tang; Hui Huang; Kamran Sattar Awaisi

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

RLC: A Reinforcement Learning Based Charging Scheme for Battery Swap Stations

Yutao Xu; Qiang Ye; Yujie Tang; Hui Huang; Kamran Sattar Awaisi

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

Pursuit of well-being: Uncovering key variables impacting citizens’ happiness in Mexico

David Romero-Gomez; Eduardo Ahumada-Tello; Richard Evans; Manuel Castanon-Puga

2023 IEEE Colombian Caribbean Conference (C3)

It’s not the arrow, it’s the archer: the role of the surgeon leader in a safety driven-era

Hillary Lia; Melanie Hammond Mobilio; Frank Rudzicz; Carol-Anne Moulton

Surgical Endoscopy

Adapting to motherhood: Online participation in WeChat groups to support first-time mothers

Runxi Zeng; Hua Zhou; Richard Evans

Teknokultura. Revista de Cultura Digital y Movimientos Sociales

Granule cells perform frequency-dependent pattern separation in a computational model of the dentate gyrus

Selena Singh; Suzanna Becker; Thomas Trappenberg; Abraham Nunes

Artificial Intelligence and Sensor Innovations: Enhancing Livestock Welfare with a Human-Centric Approach

Suresh Neethirajan

Human-Centric Intelligent Systems

Navigating to Net Zero: Leveraging Big Data, AI, and Benchmarking for Sustainable Climate Action and Emissions Reduction

Suresh Neethirajan

A Data Augmentation Algorithm for Trajectory Data

Yaksh J. Haranwala; Gabriel Spadon; Chiara Renso; Amilcar Soares

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023

Mining and Fusing Productivity Metrics with Code Quality Information at Scale

Harsh Mukeshkumar Shah; Qurram Zaheer Syed; Bharatwaaj Shankaranarayanan; Indranil Palit; Arshdeep Singh; Kavya Raval; Kishan Savaliya; Tushar Sharma

2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Calibrating Deep Learning-based Code Smell Detection using Human Feedback

Himesh Nanadani; Mootez Saad; Tushar Sharma

2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM)

Automatic Refactoring Candidate Identification Leveraging Effective Code Representation

Indranil Palit; Gautam Shetty; Hera Arif; Tushar Sharma

2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Creating Latent Representations of Synthesizer Patches using Variational Autoencoders

Matthew Peachey; Sageev Oore; Joseph Malloch

2023 4th International Symposium on the Internet of Sounds

The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study

Meagan Sinclair; Hamed Hanafi Alamdari; Julia Paffile; Kamal El-Sankary; Scott Lowe; Stephen Driscoll; Sageev Oore; Heather Tomson; Gregory Begin; Guillermo Aristi; Michael Schmidt; David Roach; Thomas Penzel; Ingo Fietze; Sanjay R Patel; Reena Mehra; Debra Morrison

IEEE Transactions on Biomedical Engineering

Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends

Qi Liu; Xueyuan Li; Yujie Tang; Xin Gao; Fan Yang; Zirui Li

Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

Stephen Brade; Bryan Wang; Mauricio Sousa; Sageev Oore; Tovi Grossman

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

AI-Driven Climate Neutrality in Dairy Farming: Benchmarking Emissions for Sustainable Transformation

Suresh Raja Neethirajan

ColSLAM: A Versatile Collaborative SLAM System for Mobile Phones Using Point-Line Features and Map Caching

Wanting Li; Yongcai Wang; Yongyu Guo; Shuo Wang; Yu Shao; Xuewei Bai; Xudong Cai; Qiang Ye; Deying Li

Proceedings of the 31st ACM International Conference on Multimedia

Optimizing Task Waiting Times in Dynamic Vehicle Routing

Alexander Botros; Barry Gilhuly; Nils Wilde; Armin Sadeghi; Javier Alonso-Mora; Stephen L. Smith

IEEE Robotics and Automation Letters

Cultural Hierarchies, Leadership, and Employee Happiness

Chris Biggadike; Eduardo Ahumada-Tello; Richard Evans; Mark Wehde

IEEE Engineering Management Review

Strategic Roadmapping for Technological Change

Eduardo Ahumada-Tello; Oscar Omar Ovalle-Osuna; Richard D. Evans

IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK)

Prevention of obstructive apnea events with machine learning

Hamed Hanafi; Julia Paffile; Meagan Sinclair; Kamal El-Sankary; Scott Lowe; Sageev Oore; Stephen Driscoll; Thomas Penzel; Ingo Fietze; Sanjay Patel; Reena Mehra; Debra Morrison

Clinical and epidemiological respiratory sleep medicine

Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia

Lydia Jeong; Melissa Lee; Ben Eyre; Aparna Balagopalan; Frank Rudzicz; Cedric Gabilondo

Psychiatric Research and Clinical Practice

Context-enhanced concept disambiguation in Wikification

Mozhgan Saeidi; Kaveh Mahdaviani; Evangelos Milios; Norbert Zeh

Intelligent Systems with Applications

Context-enhanced concept disambiguation in Wikification

Mozhgan Saeidi; Kaveh Mahdaviani; Evangelos Milios; Norbert Zeh

Intelligent Systems with Applications

wildNeRF: Novel view synthesis of in-the-wild dynamic scenes using sparse monocular data

Shuja Khalid; Frank Rudzicz

Decoding the Digital Barnyard - Cognitive Computing in Farm Animal Emotions and Welfare

Suresh Neethirajan

Investigating developers’ perception on software testability and its effects

Tushar Sharma; Stefanos Georgiou; Maria Kechagia; Taher A. Ghaleb; Federica Sarro

Empirical Software Engineering

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning

Xindi Wang; Yufei Wang; Can Xu; Xiubo Geng; Bowen Zhang; Chongyang Tao; Frank Rudzicz; Robert E. Mercer; Daxin Jiang

Frontiers in Artificial Intelligence and Applications

Identifying Risk Factors Associated With Lower Back Pain in Electronic Medical Record Free Text: Deep Learning Approach Using Clinical Note Annotations

Aman Jaiswal; Alan Katz; Marcello Nesca; Evangelos Milios

JMIR Medical Informatics

Addressing the gap between current language models and key-term-based clustering

Eric M. Cabral; Sima Rezaeipourfarsangi; Maria Cristina F. Oliveira; Evangelos E. Milios; Rosane Minghim

Proceedings of the ACM Symposium on Document Engineering 2023

Barriers and Enablers to the Implementation of Intelligent Guidance Systems for Patients in Chinese Tertiary Transfer Hospitals: Usability Evaluation

Hengkui Cao; Zhiguo Zhang; Richard David Evans; Wei Dai; Qiqing Bi; Zhichao Zhu; Juan Xu; Lining Shen

IEEE Transactions on Engineering Management

SereneMind: Design and Evaluation of a Persuasive Mobile App for Managing Stress Among Adults

Mona Alhasani; Oladapo Oyebode; Rita Orji

2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH)

Determing the success rate of extracorporeal shock wave lithotripsy in renal pelvis stone of 1-2 cm in size

Nisar Ahmed; Tanzeel Gazder; Hafiz Saad; Ajmal Khan; Syed Rabiullah; Mazahir Zulfiqar; Usman Qamar; Munawar Khaliq; Saeed Abidi; Manzoor Hussain

International Journal of Endorsing Health Science Research

AI-powered Resume-Job matching

Sima Rezaeipourfarsangi; Evangelos E. Milios

Proceedings of the ACM Symposium on Document Engineering 2023

AI-powered Resume-Job matching: A document ranking approach using deep neural networks

Sima Rezaeipourfarsangi; Evangelos E. Milios

Proceedings of the ACM Symposium on Document Engineering 2023

Digital Phenotyping: A Game Changer for the Broiler Industry

Suresh Neethirajan

Advancing Pig Welfare Assessment: Introducing the SSPD-PER Method for Objective and Reliable Pig Emotion Recognition

Jung Hwan Kim; Savina Jassica Colaco; Alwin Poulose; Suresh Neethirajan; Dong Seog Han

Enhancing Animal Welfare with Interaction Recognition: A Deep Dive into Pig Interaction Using Xception Architecture and SSPD-PIR Method

Jung Kim; Alwin Poulose; Savina Colaco; Suresh Neethirajan; Dong Han

Manifestation of depression in speech overlaps with characteristics used to represent and recognize speaker identity

Sri Harsha Dumpala; Katerina Dikaios; Sebastian Rodriguez; Ross Langley; Sheri Rempel; Rudolf Uher; Sageev Oore

Scientific Reports

AI in Sustainable Pig Farming: IoT Insights into Stress and Gait

Suresh Neethirajan

Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation

Suresh Neethirajan

Italian National Conference on Sensors

Brain imaging signatures of neuropathic facial pain derived by artificial intelligence

Timur H. Latypov; Matthew C. So; Peter Shih-Ping Hung; Pascale Tsai; Matthew R. Walker; Sarasa Tohyama; Marina Tawfik; Frank Rudzicz; Mojgan Hodaie

Scientific Reports

AI in Medical Education: Global situation, effects and challenges

Wei Zhang; Mingxuan Cai; Hong Joo Lee; Richard Evans; Chengyan Zhu; Chenghan Ming

Education and Information Technologies

Evolutionary Mixed-Integer Optimization with Explicit Constraints

Yuan Hong; Dirk Arnold

Proceedings of the Genetic and Evolutionary Computation Conference

Comparison of Closure versus Non-closure of Buccal Mucosal Graft Harvesting Site in Urethroplasty

Arsalan Shezad; Tanzeel Gazder; Syed Rabiullah; Mazahir Zulfiqar; Usman Qamar; Haris Jameel; Saeed Abidi; Manzoor Hussain

International Journal of Endorsing Health Science Research

Deep Learning Model for Automated Trainee Assessment During High-Fidelity Simulation

Asad Siddiqui; Zhoujie Zhao; Chuer Pan; Frank Rudzicz; Tobias Everett

Academic Medicine

ConceptX: A Framework for Latent Concept Analysis

Firoj Alam; Fahim Dalvi; Nadir Durrani; Hassan Sajjad; Abdul Rafae Khan; Jia Xu

Proceedings of the AAAI Conference on Artificial Intelligence

Mimicking Electronic Gaming Machine Player Behavior Using Reinforcement Learning

Gaurav Jariwala; Vlado Keselj

Contextualizing the tone of the operating room in practice: drawing on the literature to connect the dots

Hillary Lia; Melanie Hammond Mobilio; Frank Rudzicz; Carol-anne Moulton

Frontiers in Psychology

Dialogic communication on local government social media during the first wave of COVID-19: Evidence from the health commissions of prefecture-level cities in China

Qiang Chen; Yangyi Zhang; Huan Liu; Wei Zhang; Richard Evans

Computers in Human Behavior

AFNT: A Secure Data Storage Scheme Based on IOTA Tangle for Wireless Sensor Networks

Shiyun Wang; Qiang Ye; Kai Liu

2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)

Multiview Clustering to Identify Novel Kidney Donor Phenotypes for Assessing Graft Survival in Older Transplant Recipients

Syed Sibte Raza Abidi; Asil Naqvi; George Worthen; Amanda Vinson; Samina Abidi; Bryce Kiberd; Thomas Skinner; Kenneth West; Karthik K. Tennankore

A community-of-practice-based evaluation methodology for knowledge intensive computational methods and its application to multimorbidity decision support

William Van Woensel; Samson W. Tu; Wojtek Michalowski; Syed Sibte Raza Abidi; Samina Abidi; Jose-Ramon Alonso; Alessio Bottrighi; Marc Carrier; Ruth Edry; Irit Hochberg; Malvika Rao; Stephen Kingwell; Alexandra Kogan; Mar Marcos; Begona Martinez Salvador; Martin Michalowski; Luca Piovesan; David Riano; Paolo Terenziani; Szymon Wilk; Mor Peleg

Journal of Biomedical Informatics

A Wasserstein GAN-based Framework for Adversarial Attacks Against Intrusion Detection Systems

Fangda Cui; Qiang Ye; Patricia Kibenge-MacLeod

ICC 2023 - IEEE International Conference on Communications

DACOS-A Manually Annotated Dataset of Code Smells

Himesh Nandani; Mootez Saad; Tushar Sharma

2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)

6G-Empowered Offloading for Realtime Applications in Multi-Access Edge Computing

Hui Huang; Qiang Ye; Yitong Zhou

IEEE Transactions on Network Science and Engineering

Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy

Shamak Dutta; Nils Wilde; Pratap Tokekar; Stephen L. Smith

2023 IEEE International Conference on Robotics and Automation (ICRA)

Efficient Data Collection Scheme for Multi-Modal Underwater Sensor Networks Based on Deep Reinforcement Learning

Shanshan Song; Jun Liu; Jiani Guo; Bin Lin; Qiang Ye; Junhong Cui

IEEE Transactions on Vehicular Technology

Harnessing the Metaverse for Livestock Welfare: Unleashing Sensor Data and Navigating Ethical Frontiers

Suresh Neethirajan

Joint Caching and Computing Resource Reservation for Edge-Assisted Location-Aware Augmented Reality

Yingying Pei; Mushu Li; Huaqing Wu; Qiang Ye; Conghao Zhou; Shisheng Hu; Xuemin Shen

ICC 2023 - IEEE International Conference on Communications

DRL-Based Workload Allocation for Distributed Coded Machine Learning

Yitong Zhou; Qiang Ye; Hui Huang

ICC 2023 - IEEE International Conference on Communications

The Ethical Frontier: Navigating the Metaverse in Modern Animal Farming

Suresh Neethirajan

Preprints - https://www.preprints.org/manuscript/202304.0409/v1

Improving Mental Health Literacy and Reducing Psychological Problems Among Teachers in Zambia: Protocol for Implementation and Evaluation of a Wellness4Teachers Email Messaging Program

Belinda Agyapong; Charles Chishimba; Yifeng Wei; Raquel da Luz Dias; Ejemai Eboreime; Eleanor Msidi; Syed Sibte Raza Abidi; Maryn Mutaka-Loongo; James Mwansa; Rita Orji; John Mathias Zulu; Vincent Israel Opoku Agyapong

JMIR Research Protocols

Violence on the front line: a qualitative comparative analysis of the causes of patient violence towards medical staff in China during the COVID-19 pandemic

Mengmeng Yin; Wei Zhang; Richard Evans; Chengyan Zhu; Longwen Wang; Jun Song

Current Psychology

A User-Centric Analysis of Social Media for Stock Market Prediction

Mohamed Reda Bouadjenek; Scott Sanner; Ga Wu

ACM Transactions on the Web

DISubNet: Depthwise Separable Inception Subnetwork for Pig Treatment Classification Using Thermal Data

Savina Jassica Colaco; Jung Hwan Kim; Alwin Poulose; Suresh Neethirajan; Dong Seog Han

Evaluating Visual Analytics for Relevant Information Retrieval in Document Collections

Sherlon Almeida da Silva; Evangelos E Milios; Maria Cristina F de Oliveira

Interacting with Computers

Automated Authorship Attribution using CNG Distance on Blog Posts in the Serbian Language

2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH)

Editorial: Reimagining communication in a post-pandemic world: The intersection of information, media technology, and psychology

Anfan Chen; Hichang Cho; Richard Evans; Runxi Zeng

Frontiers in Psychology

On the Placement of Edge Servers in Mobile Edge Computing

Haotian Liu; Shiyun Wang; Hui Huang; Qiang Ye

2023 International Conference on Computing, Networking and Communications (ICNC)

The Significance and Ethics of Digital Livestock Farming

Suresh Neethirajan

AgriEngineering

Predicting COVID-19 vaccination intentions: the roles of threat appraisal, coping appraisal, subjective norms, and negative affect

Xia Zou; Qiang Chen; Yangyi Zhang; Richard Evans

BMC Public Health

On the effect of dropping layers of pre-trained transformer models

Hassan Sajjad; Fahim Dalvi; Nadir Durrani; Preslav Nakov

Computer Speech & Language

Applications of Speech Analysis in Psychiatry

Katerina Dikaios; Sheri Rempel; Sri Harsha Dumpala; Sageev Oore; Michael Kiefte; Rudolf Uher

Harvard Review of Psychiatry

Needs and Expectations for Artificial Intelligence in Emergency Medicine According to Canadian Physicians

Kyle W Eastwood; Ronald May; Pantelis Andreou; Samina Abidi; Syed Sibte Raza Abidi; Osama Loubani

BMC Health Services Research

Identifying adverse drug reactions from patient reviews on social media using natural language processing

Oladapo Oyebode; Rita Orji

Health Informatics Journal

Developing a reference standard for pertussis by applying a stratified sampling strategy to electronic medical record data

Shilo H. McBurney; Jeffrey C. Kwong; Kevin A. Brown; Frank Rudzicz; Branson Chen; Elisa Candido; Natasha S. Crowcroft

Annals of Epidemiology

Dynamics of emotion trends in Canadian Twitter users during COVID-19 confinement in relation to caseloads: Artificial intelligence-based emotion detection approach

Swarna Weerasinghe; Oladapo Oyebode; Rita Orji; Stan Matwin

The effects of information framing on self-protective behavior: Evidence from the COVID-19 vaccine uptake

Wei Zhang; Jie Mei; Richard Evans; Hong Wu

Why do Chinese Youth Seek Cancer Risk Information Online? Evidence from Four Cities

Xia Zou; Qiang Chen; Richard Evans

Health Communication

Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning

Ali Rahimi-Kalahroudi; Janarthanan Rajendran; Ida Momennejad; Harm van Seijen; Sarath Chandar

Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT

Aman Jaiswal; Evangelos Milios

Deep Learning Model for Automated Practitioner Assessment During High-Fidelity Simulation

Asad Siddiqui; Zhoujie Zhao; Chuer Pan; Frank Rudzicz; Tobias Everett

Academic Medicine

A Conceptual Framework for Applying Artificial Intelligence to Manufacturing Projects

Aymane Sahli; Eujin Pei; Richard Evans

IFIP Advances in Information and Communication Technology

Who needs context? Classical techniques for Alzheimer’s disease detection

Behrad Taghibeyglou; Frank Rudzicz

Proceedings of the 5th Clinical Natural Language Processing Workshop

Who needs context? Classical techniques for Alzheimer’s disease detection

Behrad Taghibeyglou; Frank Rudzicz

Natural language processing for stroke diagnostic imaging characterization

Brian Bursic; Andrew Cao; Jinyue Feng; Fahad Razak; Amol Verma; MPhil; Moira Kapral; Frank Rudzicz; Amy YX Yu

Machine Learning for Healthcare 2023

Methods for cerebellar imaging: cerebellar subdivision

C. Hernandez-Castillo

Current Opinion in Behavioral Sciences

Semi-Supervised Training of Conditional Score Models

Chandramouli S Sastry; Sri Harsha Dumpala; Sageev Oore

Training diffusion classifiers with denoising assistance

Chandramouli Shama Sastry; Sri Harsha Dumpala; Sageev Oore

Workplace Violence in the COVID Era: A Qualitative Analysis of Harassment and Threats Against Public Health Professionals in Canada

Cheryl Regehr; Kaitlyn Regehr; Vivek Goel; Christa Sato; Kelly Lyons; Frank Rudzicz

BMJ Public Health

System and method for filtering time-varying data for physiological signal prediction

D Liaqat; M ABDALLA; E de Lara; F RUDZICZ; A GERSHON; R Wu

DEVELOPMENT OF A PORTABLE PLATFORM TECHNOLOGY FOR RAPID SIMULTANEOUS MULTIPLEXED IMMUNOCYTOMETRY, IMMUNOASSAYS, SEROLOGY AND HEMATOLOGY TESTS ON A SINGLE PINPRICK OF BLOOD

David Conrad; Robert Liwski; Madhuranga Rankadawa; Paul Hollensen; Ghulam Jalani; Lana Green; Longyan Chen; Thomas Trappenberg; Alan Fine

INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY

Replication package for the study “Broken Windows: Correlating historical and new code quality”

Diomidis Spinellis; Panos Louridas; Maria Kechagia; Tushar Sharma

A Complexity-based Framework for Social Product Development

Eduardo Ahumada-Tello; Richard Evans

Human Factors, Innovation and Technology, and Cluster Strategies as Triggers of New Product Development

Eduardo Ahumada-Tello; Richard Evans

A Near-Linear Kernel for Two-Parsimony Distance

Elise Deen; Leo van Iersel; Remie Janssen; Mark Jones; Yukihiro Murakami; Norbert Zeh

Social Science Research Network

Transferring Movement Understanding for Parkinson’s Therapy by Generative Pre-Training

Emily Napier; Gavia Gray; Tristan Loria; Veronica Vuong; Michael Thaut; Sageev Oore

Deep Generative Models for Health Workshop NeurIPS 2023

Impact of Adversarial Training on Robustness and Generalizability of Language Models

Enes Altinisik; Hassan Sajjad; Husrev Sencar; Safa Messaoud; Sanjay Chawla

Findings of the Association for Computational Linguistics: ACL 2023

A State-Vector Framework For Dataset Effects

Esmat Sahak; Zining Zhu; Frank Rudzicz

SRW at ACL 2023

A State-Vector Framework for Dataset Effects

Esmat Sahak; Zining Zhu; Frank Rudzicz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

A State-Vector Framework for Dataset Effects

Esmat Sahak; Zining Zhu; Frank Rudzicz

System and method for operating room human traffic monitoring

F RUDZICZ; AS CHAUDHRY; S KHALID; TP GRANTCHAROV; T LI

NeuroX Library for Neuron Analysis of Deep NLP Models

Fahim Dalvi; Hassan Sajjad; Nadir Durrani

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

NxPlain: Web-based Tool for Discovery of Latent Concepts

Fahim Dalvi; Nadir Durrani; Hassan Sajjad; Tamim Jaban; Musab Husaini; Ummar Abbas

Supporting Users in Refining and Comparing Topic Models: An Experimental Study

Felipe Gonzalez-Pizarro; Claudia Lopez Moncada; Evangelos Milios; Fernando Vieira Paulovich; Marcelo Mendoza

Available at SSRN 4428887

Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting

Gabriel Spadon; Jay Kumar; Matthew Smith; Sarah Vela; Romina Gehrmann; Derek Eden; Josh van Berkel; Amilcar Soares; R. Fablet; Ronald Pelot; Stan Matwin

Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning

Gabriel Spadon; Martha D. Ferreira; Amilcar Soares; Stan Matwin

Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

Hadi Nekoei; Akilesh Badrinaaraayanan; Amit Sinha; Mohammad Amini; Janarthanan Rajendran; Aditya Mahajan; Sarath Chandar

Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi

Hadi Nekoei; Xutong Zhao; Janarthanan Rajendran; Miao Liu; Sarath Chandar

LATENT CONCEPT ANALYSIS METHOD

Hassan Sajjad; Fahim Dalvi; Firoj Alam; Nadir Durrani; Abdul Rafae Khan; Jia Xu

Contextualizing the tone of the operating room in practice: drawing on the literature to connect the dots

Hillary Lia; Melanie Hammond Mobilio; Frank Rudzicz; Carol-anne Moulton

Frontiers in Psychology

QuOTeS: Query-Oriented Technical Summarization

Juan Ramirez-Orta; Eduardo Xamena; Ana Maguitman; Axel J. Soto; Flavia P. Zanoto; Evangelos Milios

Lecture Notes in Computer Science

Pig Emotion Recognition: The Refinery Techniques of the PER Dataset by Utilizing Semi-Shuffling and Pig Detector

Jung Hwan Kim; Alwin Poulose; Savina Colaco; Suresh Neethirajan; Dong Han

Improving Automatic Quotation Attribution in Literary Novels

Krishnapriya Vishnubhotla; Frank Rudzicz; Graeme Hirst; Adam Hammond

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Improving Automatic Quotation Attribution in Literary Novels

Krishnapriya Vishnubhotla; Frank Rudzicz; Graeme Hirst; Adam Hammond

Systems and methods for surgical video de-identification

LI Tianbao; S KHALID; K Yang; F RUDZICZ; TP GRANTCHAROV

Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia

Lydia Jeong; Melissa Lee; Ben Eyre; Aparna Balagopalan; Frank Rudzicz; Cedric Gabilondo

Psychiatric Research and Clinical Practice

DYNAMICS OF SERUM BIOCHEMICAL ATTRIBUTES IN INDIGENOUS SIPLI SHEEP BREED KEPT UNDER INTENSIVE FARMING SYSTEM

M. Idris; U. Farooq; M. Lashari; S. Qayyum; A. Arshad; U. Riaz; M. A. Khan; I. Fatima; H. Sajjad

The Journal of Animal and Plant Sciences

MALNIS and EMA3 @ TREC 2023 Clinical Trials Track

M. Saeidi; Aman Jaiswal; Abhishek Dhankar; Alan Katz; E. Milios

Text Retrieval Conference

Mechanisms of Sustained Increases in g Power Post-Ketamine in a Computational Model of the Hippocampal CA3: Implications for Ketamine’s Antidepressant …

Maximilian Petzi; Selena Singh; Thomas Trappenberg; Abraham Nunes

Knowledge Graph Based Trustworthy Medical Code Recommendations

Mutahira Khalid; Asim Abbas; Hassan Sajjad; Hassan Khattak; Tahir Hameed; Syed Bukhari

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies

Persuasive Strategies and Emotional States: Towards Emotion-Adaptive Persuasive Technologies Design

Oladapo Oyebode; Darren Steeves; Rita Orji

Lecture Notes in Computer Science

Behavioral Cloning for Crystal Design

Prashant Govindarajan; Santiago Miret; Jarrid Rector-Brooks; Mariano Phielipp; Janarthanan Rajendran; Sarath Chandar

Workshop on Machine Learning for Materials at ICLR

Data science as a core competency in undergraduate medical education in the age of AI in healthcare

Puneet Seth; Nancy Hueppchen; Steven D Miller; Frank Rudzicz; Jerry Ding; Kapil Parakh; Janet D Record

JMIR Medical Education

Graph reinforcement learning-based decision-making technology for connected and autonomous vehicles: Framework, review, and future trends

Q Liu; X Li; Y Tang; X Gao; F Yang; Z Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts

Qi Zhang; Hassan Sajjad

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts

Validation of a flow-cytometry-based red blood cell antigen phenotyping method

R. Liwski; G. Clarke; C. Cheng; S. Abidi; S. Abidi; J. Quinn

System and method for surgical performance tracking and measurement

S KHALID; MG GOLDENBERG; TP GRANTCHAROV; B Taati; F RUDZICZ

FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning

Saurabhsingh Rajput; Tim Widmayer; Ziyuan Shang; Maria Kechagia; Federica Sarro; Tushar Sharma

Zero-shot Clustering of Embeddings with Pretrained and Self-Supervised Learnt Encoders

Scott Lowe; Joakim Bruslund Haurum; Sageev Oore; Thomas B. Moeslund; Graham W. Taylor

Workshop on robustness of zero/few-shot learning in foundation models (NeurIPS 2023)

Improving estimates of pertussis burden in Ontario, Canada 2010-2017 by combining validation and capture-recapture methodologies

Shilo H McBurney; Jeffrey C Kwong; Kevin A Brown; Frank Rudzicz; Andrew Wilton; Natasha S Crowcroft

RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters

Shuja Khalid; Frank Rudzicz

SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks

Shuja Khalid; Frank Rudzicz

Test-Time Training for Speech

Sri Harsha Dumpala; Chandramouli Sastry; Sageev Oore

Don’t Worry Accountants, ChatGPT Won’t Be Taking Your Job… Yet

Stacey Taylor; Vlado Keselj

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support

Stephen Obadinma; Faiza Khan Khattak; Shirley Wang; Tania Sidhom; Elaine Lau; Sean Robertson; Jingcheng Niu; Winnie Au; Alif Munim; Karthik Raja K. Bhaskar; Bencheng Wei; Iris Ren; Waqar Muhammad; Erin Li; Bukola Ishola; Michael Wang; Griffin Tanner; Yu-Jia Shiah; Sean X. Zhang; Kwesi P. Apponsah; Kanishk Patel; Jaswinder Narain; Deval Pandya; Xiaodan Zhu; Frank Rudzicz; Elham Dolatabadi

A New Era: Livestock Edition - Where Digital & Precision Livestock Farming Meets Poetry

Suresh Neethirajan

Climate-Smart Precision Livestock Farming: A Sustainable, Welfare-Focused, and Resilient Revolution

Suresh Neethirajan

McGill University Faculty of Agriculture Invited Talk

From Faces to Feelings - Leveraging Computer Vision for Farm Animals Emotion Analysis!

Suresh Neethirajan

From Herds to Insights - Harnessing Data Analytics for Sustainable Livestock Farming

Suresh Neethirajan

Harnessing Artificial Intelligence and Augmented Reality for Enhanced Nutrition and Efficiency

Suresh Neethirajan

FeedInfo Summit 2023, Austria, Vienna

Metaverse for Modern Animal Farming

Suresh Neethirajan

Monitoring the nutritional utilization in the digital age

Suresh Neethirajan

Uncovering the Hidden Language of Chick Welfare

Suresh Neethirajan

Ge EasyChair Preprint

Suresh Raja Neethirajan

Brain imaging signatures of neuropathic facial pain derived by artificial Intelligence

Timur H. Latypov; Matthew C. So; Peter Shih-Ping Hung; Pascale Tsai; Matthew R Walker; Sarasa Tohyama; Marina Tawfik; Frank Rudzicz; Mojgan Hodaie

Nature Scientific Reports

Consumer Engagement in the Design of PLM Systems: A Review of Best Practices

Uchechukwu Nwogu; Richard Evans

IFIP Advances in Information and Communication Technology

System and method for adverse event detection or severity estimation from surgical data

WEI Haiqi; TP GRANTCHAROV; B Taati; Y Zhang; F RUDZICZ; KL YANG

Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching

Wen Wu; Ning Zhang; Nan Cheng; Yujie Tang; Khalid Aldubaikhy; Xuemin

Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows

William Van Woensel; Samina Abidi; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

Check for updates decentralized web-based clinical decision support using semantic glean workflows

William Van Woensell; Samina Abidi; Syed Sibte Raza Abidi

Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portoroz, Slovenia, June 12-15, 2023, Proceedings

MPTopic: Improving topic modeling via Masked Permuted pre-training

Xinche Zhang; Evangelos milios

Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning

Xindi Wang; Yufei Wang; Can Xu; Xiubo Geng; Bowen Zhang; Chongyang Tao; Frank Rudzicz; Robert E. Mercer; Daxin Jiang

Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning

Xutong Zhao; Yangchen Pan; Chenjun Xiao; Sarath Chandar; Janarthanan Rajendran

Self-supervised Representation Learning From Random Data Projectors

Yi Sui; Tongzi Wu; Jesse C. Cresswell; Ga Wu; George Stein; Xiao Shi Huang; Xiaochen Zhang; Maksims Volkovs

Evaluating Neuron Interpretation Methods of NLP Models

Yimin Fan; Fahim Dalvi; Nadir Durrani; Hassan Sajjad

Learning Uncertainty for Unknown Domains with Zero-Target-Assumption

Yu Yu; Hassan Sajjad; Jia Xu

Measuring Information in Text Explanations

Zining Zhu; Frank Rudzicz

Measuring Information in Text Explanations

Zining Zhu; Frank Rudzicz

Situated Natural Language Explanations

Zining Zhu; Haoming Jiang; Jingfeng Yang; Sreyashi Nag; Chao Zhang; Jie Huang; Yifan Gao; Frank Rudzicz; Bing Yin

Situated Natural Language Explanations

Zining Zhu; Haoming Jiang; Jingfeng Yang; Sreyashi Nag; Chao Zhang; Jie Huang; Yifan Gao; Frank Rudzicz; Bing Yin

Situated natural language explanations

Zining Zhu; Haoming Jiang; Jingfeng Yang; Sreyashi Nag; Chao Zhang; Jie Huang; Yifan Gao; Frank Rudzicz; Bing Yin

Natural Language Reasoning and Structured Explanations (NLRSE@ACL 2023)

Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems

Alexander Botros; Armin Sadeghi; Nils Wilde; Javier Alonso-Mora; Stephen L. Smith

Springer Proceedings in Advanced Robotics

How Do Innovation Types and Collaborative Modes Drive Firm Performance? An FsQCA Analysis Based on Evidence From Software Ecosystems

Fenfen Wei; Nanping Feng; Richard David Evans; Ruxiang Zhao; Shanlin Yang

IEEE Transactions on Engineering Management

Detecting ongoing events using contextual word and sentence embeddings

Mariano Maisonnave; Fernando Delbianco; Fernando Tohme; Ana Maguitman; Evangelos Milios

Expert Systems with Applications

Online Multi-Robot Task Assignment with Stochastic Blockages

Nils Wilde; Javier Alonso-Mora

2022 IEEE 61st Conference on Decision and Control (CDC)

Informative Path Planning in Random Fields via Mixed Integer Programming

Shamak Dutta; Nils Wilde; Stephen L. Smith

2022 IEEE 61st Conference on Decision and Control (CDC)

Don’t Blindly Use Data: Towards a Data Statement for Computational Financial Research

Stacey Taylor; Vlado Keselj

2022 IEEE International Conference on Big Data (Big Data)

Social Attribution Guides Similarity Judgment of Abstract Scenes

Tianmin Shu; Annika Magaro; Marta Kryven; Tomer Ullman; Joshua Tenenbaum

Journal of Vision

Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams

Yifan Cai; Abhinav Dahiya; Nils Wilde; Stephen L. Smith

2022 IEEE 61st Conference on Decision and Control (CDC)

Conformal mirror descent with logarithmic divergences

Amanjit Singh Kainth; Ting-Kam Leonard Wong; Frank Rudzicz

Information Geometry

Disruptive innovation: Designing business platforms for new financial services

Henry Agyei-Boapeah; Richard Evans; Tahir M Nisar

Journal of Business Research

Deadline-Aware Task Offloading With Partially-Observable Deep Reinforcement Learning for Multi-Access Edge Computing

Hui Huang; Qiang Ye; Yitong Zhou

IEEE Transactions on Network Science and Engineering

Start-ups’ use of knowledge spillovers for product innovation: the influence of entrepreneurial ecosystems and virtual platforms

Marco Cuvero; Maria L. Granados; Alan Pilkington; Richard Evans

Privacy-Enhancing Factors and Consumer Concerns: The Moderating Effects of the General Data Protection Regulation

Richard Evans; Nick Hajli; Tahir M. Nisar

British Journal of Management

Big Data Enabled Non-Invasive Rapid Sex Detection of Incubated Chicken Eggs

Suresh Neethirajan

SOLARIA - SensOr-Driven ResiLient and Adaptive MonitoRIng of Farm Animals

Suresh Neethirajan

X-SBR: On the Use of the History of Refactorings for Explainable Search-Based Refactoring and Intelligent Change Operators

Chaima Abid; Dhia Elhaq Rzig; Thiago do Nascimento Ferreira; Marouane Kessentini; Tushar Sharma

IEEE Transactions on Software Engineering

Promoting public engagement with household waste separation through government social media: A case study of Shanghai

Fangnan Huang; Qiang Chen; Wenjie Ma; Richard Evans

Journal of Environmental Management

Biological and Chemical Sensors for Monitoring Water Quality

Suresh Neethirajan

The World Scientific Reference of Water Science

Analyzing national telemedicine policies in China from the perspective of policy instrument (1997-2020)

Wei Zhang; Dong He; Ge Wang; Chengyan Zhu; Richard Evans

International Journal of Medical Informatics

Cyberbullying definitions and measurements in children and adolescents: Summarizing 20 years of global efforts

Wei Zhang; Shiqing Huang; Lawrence Lam; Richard Evans; Chengyan Zhu

Frontiers in Public Health

Medical Informatics Research across 20 Years in China: A Structural Topic Modeling-based Analysis of Master’s Theses

Wenjing Huang; Lining Shen; Richard Evans; Yi Liu; Tianqi Rui

The Impact of County Medical Community Reform on the Medical Service Efficiency of County-Level Public General Hospitals in China: A Case Study of Shanxi Province

Yun Ye; Richard Evans; Li Jing; Muhammad Rizwan; Yan Xuan; Wei Lu

International Journal of Environmental Research and Public Health

A critical evaluation of dynamical systems models of bipolar disorder

Abraham Nunes; Selena Singh; Jared Allman; Suzanna Becker; Abigail Ortiz; Thomas Trappenberg; Martin Alda

Translational Psychiatry

Performance Analysis of Mobile Cloud Computing With Bursty Demand: A Tandem Queue Model

Bo Sun; Yuxuan Jiang; Yuan Wu; Qiang Ye; Danny H. K. Tsang

IEEE Transactions on Vehicular Technology

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning

Gabriel Spadon; Shenda Hong; Bruno Brandoli; Stan Matwin; Jose F. Rodrigues-Jr; Jimeng Sun

IEEE Transactions on Pattern Analysis and Machine Intelligence

An AP Selection Strategy Based on Congestion Game for User-Centric Cell-Free Massive MIMO

Luyang Liu; Shaochuan Wu; Qiang Ye; Yongkui Ma

2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

OR Vision: Objective, explainable assessment of surgical skill with deep learning

Shuja Khalid; Vanessa Palter; Teodor Grantcharov; Frank Rudzicz

On Combining Global and Localized Self-Supervised Models of Speech

Sri Harsha Dumpala; Chandramouli Shama Sastry; Rudolf Uher; Sageev Oore

Interspeech 2022

Clustering-Enabled Prioritized Access Control for Massive Machine-Type Communications in Smart Grid

Zhuoyao Shen; Zhenyu Liu; Qiang Ye; Lianming Xu; Li Wang

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

Setting the Tone in the Operating Room: a Model Guided By Emotions as Social Information Theory

Hillary Lia; Meena Andiappan; Melanie Hammond Mobilio; Frank Rudzicz; Carol-anne Moulton

Academy of Management Proceedings

Quantifying the Effect of an Acute Stressor in Laying Hens using Thermographic Imaging and Vocalisations

Huib van den Heuvel; Ali Youssef; Lisette M Grat; Suresh Neethirajan

The Effects of Knowledge Spillovers and Accelerator Programs on the Product Innovation of High-Tech Start-Ups: A Multiple Case Study

Marco Cuvero; Maria Luisa Granados; Alan Pilkington; Richard David Evans

IEEE Transactions on Engineering Management

Causal graph extraction from news: a comparative study of time-series causality learning techniques

Mariano Maisonnave; Fernando Delbianco; Fernando Tohme; Evangelos Milios; Ana G. Maguitman

PeerJ Computer Science

A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels

Martha Dais Ferreira; Gabriel Spadon; Amilcar Soares; Stan Matwin

Demand-Oriented Allocation with Fairness in Multi-Operator Dynamic Spectrum Sharing Systems

Mengying Wang; Wei Wang; Wenjing Xu; Jiameng Bi; Qiang Ye

2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)

Persuasive strategy implementation choices and their effectiveness: towards personalised persuasive systems

Oladapo Oyebode; Rita Orji

Behaviour & Information Technology

When a disaster happens, we are ready: Location mention recognition from crisis tweets

Reem Suwaileh; Tamer Elsayed; Muhammad Imran; Hassan Sajjad

International Journal of Disaster Risk Reduction

Echofilter: A Deep Learning Segmention Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams

Scott C. Lowe; Louise P. McGarry; Jessica Douglas; Jason Newport; Sageev Oore; Christopher Whidden; Daniel J. Hasselman

Frontiers in Marine Science

Are smartphones and machine learning enough to diagnose tremor?

Arjun Balachandar; Musleh Algarni; Lais Oliveira; Luca Marsili; Aristide Merola; Andrea Sturchio; Alberto J. Espay; William D. Hutchison; Aniruddh Balasubramaniam; Frank Rudzicz; Alfonso Fasano

Journal of Neurology

High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines

Hamed Hanafi Alamdari; Luke Hacquebard; Stephen Driscoll; Kamal El-Sankary; David C Roach; Robin LeBlanc; Scott Lowe; Sageev Oore; Thomas Penzel; Ingo Fietze; Michael Schmidt; Debra Morrison

IEEE Transactions on Biomedical Engineering

CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy

Jose F. Rodrigues; Sebastien Bailly; Jean-Louis Pepin; Lorraine Goeuriot; Gabriel Spadon; Sihem Amer-Yahia

Applied Sciences

A Delphi consensus statement for digital surgery

Kyle Lam; Michael D. Abramoff; Jose M. Balibrea; Steven M. Bishop; Richard R. Brady; Rachael A. Callcut; Manish Chand; Justin W. Collins; Markus K. Diener; Matthias Eisenmann; Kelly Fermont; Manoel Galvao Neto; Gregory D. Hager; Robert J. Hinchliffe; Alan Horgan; Pierre Jannin; Alexander Langerman; Kartik Logishetty; Amit Mahadik; Lena Maier-Hein; Esteban Martin Antona; Pietro Mascagni; Ryan K. Mathew; Beat P. Muller-Stich; Thomas Neumuth; Felix Nickel; Adrian Park; Gianluca Pellino; Frank Rudzicz; Sam Shah; Mark Slack; Myles J. Smith; Naeem Soomro; Stefanie Speidel; Danail Stoyanov; Henry S. Tilney; Martin Wagner; Ara Darzi; James M. Kinross; Sanjay Purkayastha

npj Digital Medicine

Laying hen’s behavioural responses and activity indexes to different light colours

Muhammad Hikmat Azizat; Elisabeth Anna Maria Graat; Ali Youssef; Suresh Neethirajan

Machine Learning Techniques in Adaptive and Personalized Systems for Health and Wellness

Oladapo Oyebode; Jonathon Fowles; Darren Steeves; Rita Orji

International Journal of Human-Computer Interaction

Pig Treatment Classification on Thermal Image Data using Deep Learning

Savina Jassica Colaco; Jung Hwan Kim; Alwin Poulose; Zutphen Sanne Van; Suresh Neethirajan; Dong Seog Han

2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)

An Improved Greedy Algorithm for Subset Selection in Linear Estimation

Shamak Dutta; Nils Wilde; Stephen L. Smith

2022 European Control Conference (ECC)

miRNA Sensing in Livestock: Challenges and Potential Approaches

Suresh Neethirajan

Data-Driven Coordinated Charging for Electric Vehicles With Continuous Charging Rates: A Deep Policy Gradient Approach

Yuxuan Jiang; Qiang Ye; Bo Sun; Yuan Wu; Danny H.K. Tsang

IEEE Internet of Things Journal

Mobile Applications for Health and Wellness: A Systematic Review

Alaa AlSlaity; Banuchitra Suruliraj; Oladapo Oyebode; Jonathon Fowles; darren steeves; Rita Orji

Proceedings of the ACM on Human-Computer Interaction

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations

Aparna Balagopalan; Haoran Zhang; Kimia Hamidieh; Thomas Hartvigsen; Frank Rudzicz; Marzyeh Ghassemi

2022 ACM Conference on Fairness Accountability and Transparency

Language Modelling via Learning to Rank

Arvid Frydenlund; Gagandeep Singh; Frank Rudzicz

Proceedings of the AAAI conference on artificial intelligence

Build back better: A framework for sustainable recovery assessment

Beier Zhou; Hui Zhang; Richard Evans

International Journal of Disaster Risk Reduction

A digital transformation-enabled framework and strategies for public health risk response and governance: China’s experience

Ching-Hung Lee; Dianni Wang; Shupeng Lyu; Richard David Evans; Li Li

Industrial Management & Data Systems

Machine learning for contour classification in TG-263 noncompliant databases

David Livermore; Thomas Trappenberg; Alasdair Syme

Journal of Applied Clinical Medical Physics

Spectral Analysis for Dance Movement Query and Interpolation

Emily Napier; Gavin Gray; Sageev Oore

Proceedings of the 8th International Conference on Movement and Computing

PUMA: Performance Unchanged Model Augmentation for Training Data Removal

Ga Wu; Masoud Hashemi; Christopher Srinivasa

In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022)

Using Interactive Visual Analytics to Optimize Blood Products Inventory at a Blood Bank

Jaber Rad; Jason G. Quinn; Calvino Cheng; Robert Liwski; Samina Abidi; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models

Juan Antonio Ramirez-Orta; Eduardo Xamena; Ana Maguitman; Evangelos Milios; Axel J. Soto

Proceedings of the AAAI Conference on Artificial Intelligence

A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease

Michael Barrett; Syed Sibte Raza Abidi; Ali Daowd; Samina Abidi

Studies in Health Technology and Informatics

Revenue-Maximizing Resource Allocation for Multitenant Cell-Free Massive MIMO Networks

Shaochuan Wu; Luyang Liu; Wenbin Zhang; Weixiao Meng; Qiang Ye; Yongkui Ma

IEEE Systems Journal

Interactive clustering and high-recall information retrieval using language models

Sima Rezaeipourfarsangi; Ningyuan Pei; Ehsan Sherkat; Evangelos Milios

Proceedings of the 2022 International Conference on Advanced Visual Interfaces

Efficient Uplink Transmission in Ultra-Dense LEO Satellite Networks With Multiband Antennas

Tianjiao Chen; Jiang Liu; Qiang Ye; Qinqin Tang; Weiting Zhang; Tao Huang; Yunjie Liu

IEEE Communications Letters

Does Citizen Engagement With Government Social Media Accounts Differ During the Different Stages of Public Health Crises? An Empirical Examination of the COVID-19 Pandemic

Wei Zhang; Hui Yuan; Chengyan Zhu; Qiang Chen; Richard Evans

Frontiers in Public Health

Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information

William Van Woensel; Brett Taylor; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia

Ahmed Balfagih; Vlado Keselj; Stacey Taylor

2022 the 6th International Conference on Information System and Data Mining

Utility Optimization for Over-the-air Computation Systems with Spectrum Sharing

Fudong Li; Qiang Ye; Emmanuel Thepie Fapi; Wenting Sun; Yuxuan Jiang

ICC 2022 - IEEE International Conference on Communications

Arbitrary conditional inference in variational autoencoders via fast prior network training

Ga Wu; Justin Domke; Scott Sanner

Machine Learning

ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and challenges of confined and extensive precision livestock production

Hector M Menendez; Jameson R Brennan; Charlotte Gaillard; Krista Ehlert; Jaelyn Quintana; Suresh Neethirajan; Aline Remus; Marc Jacobs; Izabelle A M A Teixeira; Benjamin L Turner; Luis O Tedeschi

Journal of Animal Science

How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China

Huan Liu; Qiang Chen; Richard Evans

International Journal of Environmental Research and Public Health

A Remedy For Distributional Shifts Through Expected Domain Translation

Jean-Christophe Gagnon-Audet; Soroosh Shahtalebi; Frank Rudzicz; Irina Rish

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Gait biomechanics phenotypes among total knee arthroplasty candidates by machine learning cluster analysis

Kathryn L. Young-Shand; Patrice C. Roy; Michael J. Dunbar; Syed S. R. Abidi; Janie L. Astephen Wilson

Journal of Orthopaedic Research

Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning

Mohamed Abdalla; Hong Lu; Bogdan Pinzaru; Frank Rudzicz; Liisa Jaakkimainen

Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning

Mohamed Abdalla; Hong Lu; Bogdan Pinzaru; Frank Rudzicz; Liisa Jaakkimainen

Empirical standards for repository mining

Preetha Chatterjee; Tushar Sharma; Paul Ralph

Proceedings of the 19th International Conference on Mining Software Repositories

Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases

Sheida Majouni; Jong Sung Kim; Ellen Sweeney; Erin Keltie; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

Green AI: do deep learning frameworks have different costs?

Stefanos Georgiou; Maria Kechagia; Tushar Sharma; Federica Sarro; Ying Zou

Proceedings of the 44th International Conference on Software Engineering

FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV

Xiaoming Yuan; Jiahui Chen; Ning Zhang; Chunsheng Zhu; Qiang Ye; Xuemin Sherman Shen

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

TBTOA: A DAG-Based Task Offloading Scheme for Mobile Edge Computing

Xiaoyan Lv; Hongwei Du; Qiang Ye

ICC 2022 - IEEE International Conference on Communications

Semantic knowledge modeling and evaluation of argument Theory to develop dialogue based patient education systems for chronic disease Self-Management

Benjamin Rose-Davis; William Van Woensel; Samina Raza Abidi; Elizabeth Stringer; Syed Sibte Raza Abidi

International Journal of Medical Informatics

Evaluating brain parcellations using the distance-controlled boundary coefficient

Da Zhi; Maedbh King; Carlos R. Hernandez-Castillo; Jorn Diedrichsen

Human Brain Mapping

Competitor Intelligence and Product Innovation: The Role of Open-Mindedness and Interfunctional Coordination

Fenfang Lin; Richard David Evans; Rupak Kharel; Richard A. Williams

IEEE Transactions on Engineering Management

Four decades of urolithiasis: What has changed in our practice?

Manzoor Hussain; Saeed Abidi

Journal of the Pakistan Medical Association

ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Limitations and potential next steps for modeling and modelers in the animal sciences

Marc Jacobs; Aline Remus; Charlotte Gaillard; Hector M Menendez; Luis O Tedeschi; Suresh Neethirajan; Jennifer L Ellis

Journal of Animal Science

Biomedical Word Sense Disambiguation with Contextualized Representation Learning

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

Companion Proceedings of the Web Conference 2022

Biomedical Word Sense Disambiguation with Contextualized Representation Learning

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

Companion Proceedings of the Web Conference 2022

Learning Submodular Objectives for Team Environmental Monitoring

Nils Wilde; Armin Sadeghi; Stephen L. Smith

IEEE Robotics and Automation Letters

Guest Editorial: Open Innovation and Social Product Development

Richard Evans; Dirk Schaefer

IEEE Transactions on Engineering Management

Distributional Contrastive Embedding for Clarification-based Conversational Critiquing

Tianshu Shen; Zheda Mai; Ga Wu; Scott Sanner

Proceedings of the ACM Web Conference 2022

Lessons from Research to Practice on Writing Better Quality Puppet Scripts

Akond Rahman; Tushar Sharma

2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

Personality-targeted persuasive gamified systems: exploring the impact of application domain on the effectiveness of behaviour change strategies

Chinenye Ndulue; Oladapo Oyebode; Ravishankar Subramani Iyer; Anirudh Ganesh; Syed Ishtiaque Ahmed; Rita Orji

User Modeling and User-Adapted Interaction

Building patients’ trust in psychologists in online mental health communities

Hong Wu; Zhaohua Deng; Richard Evans

Data Science and Management

Development and Evaluation of the Quality of Life Scale for Children With Visual Impairments in China

Jie Liu; Richard Evans; Yanjun Wang; Beibei Hu; Yan Tong; Shaoqiong Li; Zhiqiang Tian; Jing Li; Cuihua Zhang; Lu He; Jianzhong Zheng

Frontiers in Pediatrics

No evidence for motor-recovery-related cortical connectivity changes after stroke using resting-state fMRI

Meret Branscheidt; Naveed Ejaz; Jing Xu; Mario Widmer; Michelle D. Harran; Juan Camilo Cortes; Tomoko Kitago; Pablo Celnik; Carlos Hernandez-Castillo; Jorn Diedrichsen; Andreas Luft; John W. Krakauer

Journal of Neurophysiology

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Rui Yao; Wenli Zhang; Richard Evans; Guang Cao; Tianqi Rui; Lining Shen

Journal of Medical Internet Research

Affective State Recognition in Livestock-Artificial Intelligence Approaches

Suresh Neethirajan

A Proposal for Universal Preprocessing and Text-Embedded Programming (PTEP) System

2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)

Complexity Leadership: On time, on budget

Chris Biggadike; Eujin Pei; Richard Evans

IEEE Engineering Management Review

A Practical Fixed-Parameter Algorithm for Constructing Tree-Child Networks from Multiple Binary Trees

Leo van Iersel; Remie Janssen; Mark Jones; Yukihiro Murakami; Norbert Zeh

A Systematic and Comparative Review of Behavior Change Strategies in Stress Management Apps: Opportunities for Improvement

Mona Alhasani; Dinesh Mulchandani; Oladapo Oyebode; Nilufar Baghaei; Rita Orji

Frontiers in Public Health

Understanding Chicks’ Emotions: Are Eye Blinks & Facial Temperatures Reliable Indicators?

Naomi Pijpers; Huib van den Heuvel; Ian H. Duncan; Jessica Yorzinski; Suresh Neethirajan

COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing

Oladapo Oyebode; Chinenye Ndulue; Dinesh Mulchandani; Banuchitra Suruliraj; Ashfaq Adib; Fidelia Anulika Orji; Evangelos Milios; Stan Matwin; Rita Orji

Journal of Healthcare Informatics Research

COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing

Oladapo Oyebode; Chinenye Ndulue; Dinesh Mulchandani; Banuchitra Suruliraj; Ashfaq Adib; Fidelia Anulika Orji; Evangelos Milios; Stan Matwin; Rita Orji

Journal of Healthcare Informatics Research

Differential expression of a brain aging biomarker across discrete chronic pain disorders

Peter Shih-Ping Hung; Jia Y Zhang; Alborz Noorani; Matthew R Walker; Megan Huang; Jason Zhang; Normand Laperriere; Frank Rudzicz; Mojgan Hodaie

Differential expression of a brain aging biomarker across discrete chronic pain disorders

Peter Shih-Ping Hung; Jia Y. Zhang; Alborz Noorani; Matthew R. Walker; Megan Huang; Jason W. Zhang; Normand Laperriere; Frank Rudzicz; Mojgan Hodaie

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Rebecca Kerestes; Shuo Han; Srinivas Balachander; Carlos Hernandez-Castillo; Jerry L. Prince; Jorn Diedrichsen; Ian H. Harding

Journal of Visualized Experiments

Collaboration of issuing agencies and topic evolution of health informatisation policies in China

Wenli Zhang; Rui Yao; Richard Evans; Wenjing Huang; Guang Cao; Lining Shen

Journal of Information Science

Solver engagement in online crowdsourcing communities: The roles of perceived interactivity, relationship quality and psychological ownership

Xiaoxiao Shi; Richard Evans; Wei Shan

Technological Forecasting and Social Change

Evaluation and convergence analysis of the medical service efficiency in rural medical health centers China

Yun Ye; Richard Evans; Li Jing; Xiaojun Huang; Xudong Shang; Yanying Chen; Wei Lu; Wei Xu

Joint pricing and task allocation for blockchain empowered crowd spectrum sensing

Wenbin Chen; Wei Wang; Zuguang Li; Qiang Ye; Qihui Wu

Peer-to-Peer Networking and Applications

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations

A Balagopalan; H Zhang; K Hamidieh; T Hartvigsen; F Rudzicz; M Ghassemi

Language Modelling via Learning to Rank

A Frydenlund; G Singh; F Rudzicz

A clustering framework for lexical normalization of Roman Urdu

Abdul Rafae Khan; Asim Karim; Hassan Sajjad; Faisal Kamiran; Jia Xu

“I Let Depression and Anxiety Drown Me…”: Identifying Factors Associated With Resilience Based on Journaling Using Machine Learning and Thematic Analysis

Adenrele Oduntan; Oladapo Oyebode; Amelia Hernandez Beltran; Jonathon Fowles; Darren Steeves; Rita Orji

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

Interpreting Arabic Transformer Models

Ahmed Abdelali; Nadir Durrani; Fahim Dalvi; Hassan Sajjad

Post-hoc analysis of Arabic transformer models

Ahmed Abdelali; Nadir Durrani; Fahim Dalvi; Hassan Sajjad

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP

Cluster-based mention typing for named entity disambiguation 1 Arda Celebi and Arzucan Ozgur Learning from noisy out-of-domain corpus using dataless classification 39 Yiping …

Alberto Poncelas; Gideon Maillette de Buy Wenniger; Andy Way; Abdul Rafae Khan; Asim Karim; Hassan Sajjad; Faisal Kamiran; Jia Xu; Robert Dale; Jianwei Yan

A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing

Ali Daowd; Samina Abidi; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

Soft-sensing approach for predicting bovine respiratory disease severity

Ali Youssef; Christine Jansen; Suresh Neethirajan

European Conference on Precision Livestock Farming & International Conference on Precision Dairy Farming 2022

Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization

Amir Abbasnejad; Dirk V. Arnold

Lecture Notes in Computer Science

Acknowledgment to Reviewers of Animals in 2021

Animals Editorial Office

Knowledge Visualization: A Design centered Framework

Aymane Sahli; Eujin Pei; Arthi Manohar; Richard Evans

Neural reality of argument structure constructions

B Li; Z Zhu; G Thomas; F Rudzicz; Y Xu

Neural reality of argument structure constructions

Bai Li; Zining Zhu; Guillaume Thomas; Frank Rudzicz; Yang Xu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Acknowledgment to Reviewers of Brain Sciences in 2021

Brain Sciences Editorial Office

Probing for Constituency Structure in Neural Language Models

David Arps; Younes Samih; Laura Kallmeyer; Hassan Sajjad

Findings of the Association for Computational Linguistics: EMNLP 2022

Sequence Modeling of Motion-Captured Dance

E Napier; G Gray; S Oore

NeuriPS 2022: Workshop, Machine Learning for Creativity and Design

Systems and methods for extracting information from a dialogue

FK KHATTAK; F RUDZICZ; M MAMDANI; N CRAMPTON; S JEBLEE

Discovering Latent Concepts Learned in BERT

Fahim Dalvi; Abdul Rafae Khan; Firoj Alam; Nadir Durrani; Jia Xu; Hassan Sajjad

Augmentative and Alternative Communication

Clear Speech: Technologies that Enable the Expression and Reception of Language

Automatic speech recognition (ASR)

Clear Speech: Technologies that Enable the Expression and Reception of Language

Dementia and Aphasia

Clear Speech: Technologies that Enable the Expression and Reception of Language

Dysarthria

Clear Speech: Technologies that Enable the Expression and Reception of Language

Final Toughts

Clear Speech: Technologies that Enable the Expression and Reception of Language

Math & Stats for Language Technology

Physical and Cognitive Foundations of Speech

Clear Speech: Technologies that Enable the Expression and Reception of Language

Speech Synthesis

Clear Speech: Technologies that Enable the Expression and Reception of Language

Supporting Daily Activities Through Speech

Clear Speech: Technologies that Enable the Expression and Reception of Language

System and method for machine learning architecture for out-of-distribution data detection

G Wu; AS JAWANDHA; CC SRINIVASA

Noise contrastive estimation for collaborative filtering

G Wu; M Volkovs; H Rai

From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*

Gabriel Spadon; Jose F. Rodrigues-Jr

Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks

Gabriel Spadon; M. D. Ferreira; Amilcar Soares; S. Matwin

PatchBlender: A Motion Prior for Video Transformers

Gabriele Prato; Yale Song; Janarthanan Rajendran; R Devon Hjelm; Neel Joshi; Sarath Chandar

Information Visualization for BI

Giuseppe Carenini; Evangelos Milios

Perspectives on Business Intelligence

fAux: Testing Individual Fairness via Gradient Alignment

Giuseppe Castiglione; Ga Wu; Christopher Srinivasa; Simon Prince

Scalable Whitebox Attacks on Tree-based Models

Giuseppe Castiglione; Gavin Ding; Masoud Hashemi; Christopher Srinivasa; Ga Wu

Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation

H Ngai; F Rudzicz

Method and system for diacritizing arabic text

HS MUBARAK; KM Darwish; A ABDELALI; H Sajjad; Y SAMIH

Intelligent Resource Management in Vehicular Networks

Haixia Peng; Qiang Ye; Xuemin Sherman Shen

Wireless Networks

It’s more than memes: User risk appetite and app enjoyment predict simulated mobile trading app behavior

Harsh M Gawai; Colin D Conrad; Vlado Keselj

Neuron-level Interpretation of Deep NLP Models: A Survey

Hassan Sajjad; Nadir Durrani; Fahim Dalvi

Transactions of the Association for Computational Linguistics

Analyzing Encoded Concepts in Transformer Language Models

Hassan Sajjad; Nadir Durrani; Fahim Dalvi; Firoj Alam; Abdul Khan; Jia Xu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Syntactic Systematicity Arising from

Hebbian-Competitive Network

Proceedings of the Twentieth Annual Conference of the Cognitive Science Society

Setting the tone for team performance in the operating room: a constructivist grounded theory study

Hillary Lia; Melanie Hammond Mobilio; Frank Rudzicz; Carol-anne Moulton

16th International Workshop on Behavioural Science Applied to Surgery

Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation

Hillary Ngai; Frank Rudzicz

Proceedings of the 21st Workshop on Biomedical Language Processing

Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric

I Berlot-Attwell; F Rudzicz

Preface to the 6th International Workshop on Personalizing Persuasive Technologies

I. Adaji; Kiemute Oyibo; Rita Orji; Jaap Ham; Oladapo Oyebode

International Conference on Persuasive Technology

Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric

Ian Berlot-Attwell; Frank Rudzicz

Proceedings of the 4th Workshop on NLP for Conversational AI

System and method for alzheimer’s disease detection from speech

J NOVIKOVA; A BALAGOPALAN; J Robin; F RUDZICZ

Meth: A remedy for distributional shifts through domain translation

J-C Gagnon-Audet; S Shahtalebi; F Rudzicz; I Rish

Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service

Jaber Rad; Jason Quinn; Calvino Cheng; Samina Raza Abidi; Robert Liwski; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival

Jaber Rad; Karthik K. Tennankore; Amanda Vinson; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP

Jasmijn Bastings; Yonatan Belinkov; Yanai Elazar; Dieuwke Hupkes; Naomi Saphra; Sarah Wiegreffe

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation

Jixuan Wang; Kuan-Chieh Wang; Frank Rudzicz; Michael Brudno

MALNIS at IberLEF-2022 DETESTS Task: A Multi-Task Learning Approach for Low-Resource Detection of Racial Stereotypes in Spanish

Juan Ramirez-Orta; Maria Virginia Sabando; Mariano Maisonnave; E. Milios

Assessing Knee Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-organizing Maps

Kathryn Young-Shand; Patrice Roy; Michael Dunbar; Syed Sibte Raza Abidi; Janie Wilson

Lecture Notes in Computer Science

A Delphi consensus statement for digital surgery

Kyle Lam; Michael D. Abràmoff; José M. Balibrea; Steven M. Bishop; Richard R. Brady; Rachael A. Callcut; Manish Chand; Justin W. Collins; Markus K. Diener; Matthias Eisenmann; Kelly Fermont; Manoel Galvao Neto; Gregory D. Hager; Robert J. Hinchliffe; Alan Horgan; Pierre Jannin; Alexander Langerman; Kartik Logishetty; Amit Mahadik; Lena Maier-Hein; Esteban Martín Antona; Pietro Mascagni; Ryan K. Mathew; Beat P. Müller-Stich; Thomas Neumuth; Felix Nickel; Adrian Park; Gianluca Pellino; Frank Rudzicz; Sam Shah; Mark Slack; Myles J. Smith; Naeem Soomro; Stefanie Speidel; Danail Stoyanov; Henry S. Tilney; Martin Wagner; Ara Darzi; James M. Kinross; Sanjay Purkayastha

Nature Digital Medicine

Non-invasive in-ovo sexing of chicken eggs using Raman spectroscopy and hyperspectral imaging

LRG van den Tweel; CW van der Pol; H van den Brand; SR Neethirajan

27th WIAS Annual Conference 2022: Collective Action

A Theoretical Approach for Structuring and Analysing Knowledge Provenance for Visual Analytics

Leonardo Christino; Sima Rezaeipourfarsangi; Evangelos Milios; Fernando V. Paulovich

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL

M Jacobs; A Remus; C Gaillard; HM Menendez III; LO Tedeschi; S Neethirajan; JL Ellis

A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages

M. D. Ferreira; Gabriel Spadon; Amilcar Soares; S. Matwin

ALLEVIATING THE DELETERIOUS EFFECTS OF SALT STRESS ON WHEAT (TRITICUM AESTIVUM L.) BY FOLIAR APPLICATION OF GIBBERELLIC ACID AND SALICYLIC ACID

M.S. IQBAL; M. ZAHOOR; M. AKBAR; K.S. AHMAD; S.A. HUSSAIN; S. MUNIR; M.A. ALI; N. ARSHAD; H. MASOOD; S. ZAFAR; T. AHMAD; N. SHAHEEN; R. MASHOOQ; H. SAJJAD; K. SHAHBAZ; H. ARSHAD; N. FATIMA; B. ANSAR; M. ISLAM

Applied Ecology and Environmental Research

Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data

Malikeh Ehghaghi; Frank Rudzicz; Jekaterina Novikova

Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data

Malikeh Ehghaghi; Frank Rudzicz; Jekaterina Novikova

Proceedings of W-NUT 2022 at COLING 2022

Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14-17, 2022, Proceedings

Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi

JMIR Medical Informatics

Na Hong; Chun Liu; Jianwei Gao; Lin Han; Fengxiang Chang; Mengchun Gong; Longxiang Su; Sheng-Chieh Lu; Cai Xu; Chandler Nguyen; Yimin Geng; Andre Pfob; Chris Sidey-Gibbons; Inocencio Maramba; Ray Jones; Daniela Austin; Katie Edwards; Edward Meinert; Arunangsu Chatterjee; Gang Luo; Winston Liaw; John Westfall; Tyler Williamson; Yalda Jabbarpour; Andrew Bazemore; Ayah Zirikly; Bart Desmet; Denis Newman-Griffis; Elizabeth Marfeo; Christine McDonough; Howard Goldman; Leighton Chan; Richard Evans; Jennifer Burns; Laura Damschroder; Ann Annis; Michelle Freitag; Susan Raffa; Wyndy Wiitala; Wen-Ting Cheah; Jwu-Jia Hwang; Sheng-Yi Hong; Li-Chen Fu; Yu-Ling Chang; Ta-Fu Chen; I-An Chen; Chun-Chen Chou

Discovering Salient Neurons in Deep NLP Models

Nadir Durrani; Fahim Dalvi; Hassan Sajjad

Linguistic Correlation Analysis: Discovering Salient Neurons in deepNLP models

Nadir Durrani; Fahim Dalvi; Hassan Sajjad

On the Transformation of Latent Space in Fine-Tuned NLP Models

Nadir Durrani; Hassan Sajjad; Fahim Dalvi; Firoj Alam

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Automated Tracking Systems for the Assessment of Farmed Poultry

Neethirajan Suresh

TechDebt’22: International Conference on Technical Debt, Pittsburgh Pennsylvania, May 17-18, 2022

Neil A. Ernst; Valentina Lenarduzzi; Tushar Sharma

The role of feedback in the production of skilled finger sequences

Nicola J Popp; Carlos R Hernandez-Castillo; Paul L Gribble; Jorn Diedrichsen

Journal of Neurophysiology

Human Information Seeking in Architectural Spaces Simulated in Virtual Reality

Nikolaos Vlavianos; Takehiko Nagakura; Marta Kryven

Proceedings of the Annual Meeting of the Cognitive Science Society

Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms

Nils Wilde; Javier Alonso-Mora

6th Annual Conference on Robot Learning

Exploring for Possible Effect of Persuasive Strategy Implementation Choices: Towards Tailoring Persuasive Technologies

Oladapo Oyebode; Felwah Alqahtani; Rita Orji

Lecture Notes in Computer Science

Check for updates Player Matching in a Persuasive Mobile Exergame: Towards Performance-Driven Collaboration and Adaptivity

Oladapo Oyebode; Rita Orji

Persuasive Technology: 17th International Conference, PERSUASIVE 2022, Virtual Event, March 29-31, 2022, Proceedings

Active Sets for Explicitly Constrained Evolutionary Optimization

Patrick Spettel; Zehao Ba; Dirk V. Arnold

Evolutionary Computation

SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet

Paul Trust; Provia Kadusabe; Haseeb Younis; R. Minghim; E. Milios; Ahmed Zahran

Workshop on Graph-based Methods for Natural Language Processing

UNLPSat TextGraphs-16 Natural Language Premise Selection task: Unsupervised Natural Language Premise Selection in mathematical text using sentence-MPNet

Paul Trust; Provia Kadusabe; Haseeb Younis; Rosane Minghim; Evangelos Milios; Ahmed Zahran

GGNN@Causal News Corpus 2022:Gated Graph Neural Networks for Causal Event Classification from Social-Political News Articles

Paul Trust; R. Minghim; Evangelos Milos; Kadusabe Provia

Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)

Understanding Animals’ Phenotype through Automatic Behavior Assessment

Pol Llonch; Suresh Neethirajan; Claire Morgan-Davies

Frontiers in Animal Science

Network Slicing for 5G Networks and Beyond

Qiang Ye; Wen Wu

Wireless Networks

Reward Learning using Structural Motifs in Inverse Reinforcement Learning

Raeid Saqur; Animesh Garg; Frank Rudzicz

An Introduction to Lifelong Supervised Learning

Shagun Sodhani; Mojtaba Faramarzi; Sanket Vaibhav Mehta; Pranshu Malviya; Mohamed Abdelsalam; Janarthanan Janarthanan; Sarath Chandar

Using Electronic Medical Records to Develop a Reference Standard for Low Prevalence Disease Validation Studies: A Pertussis Case Study

Shilo McBurney; Jeffrey C. Kwong; Kevin A. Brown; Frank Rudzicz; Branson Chen; Elisa Candido; Natasha Crowcroft

SSRN Electronic Journal

Out-of-distribution failure through the lens of labeling mechanisms: An information theoretic approach

Soroosh Shahtalebi; Zining Zhu; Frank Rudzicz

ICML 2022: Workshop on Spurious Correlations, Invariance and Stability

Detecting Depression With a Temporal Context Of Speaker Embeddings [J]

Sri Harsha Dumpala; Sebastian Rodriguez; Sheri Rempel; Mehri Sajjadian; Rudolf Uher; Sageev Oore

AAAI 2022 Workshop: Self-supervised Learning for Audio and Speech Processing

Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations

Sugandha Sharma; Aidan Curtis; Marta Kryven; Josh Tenenbaum; I. Fiete

Annual Meeting of the Cognitive Science Society

A Behind the Scenes Look - Metaverse and Digital Pigs OS 2.0

Suresh Neethirajan

International Pig Veterinary Society Congress - 2022, Rio de Janeiro, Brazil

Digitalization in Livestock Farming - Artificial Intelligence Applied to Precision Animal Breeding

Suresh Neethirajan

ASAS CSAS Annual Meeting 2022 Oklahoma City, Animal Breeding and Genetics: Symposium I: New Insights on Artificial Intelligence Applied to Precision Animal Breeding

Sensors for Monitoring Health. Making Sense of Sensors Based on Big Data in Poultry Production

Suresh Neethirajan

American College of Poultry Veterinarians (ACPV) Sensor Data and Analytics for Poultry Health, Welfare, and Food Safety

Using Sensors and AI to Measure Dairy Cattle Emotions

Suresh Neethirajan

Generative Extraction of Audio Classifiers for Speaker Identification

Tejumade Afonja; Lucas Bourtoule; Varun Chandrasekaran; Sageev Oore; Nicolas Papernot

Collaborative Deep Neural Network Inference via Mobile Edge Computing

Wen Wu; Yujie Tang; Peng Yang; Weiting Zhang; Ning Zhang

Wireless Networks

Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN

William Van Woensel; Samina Abidi; Karthik Tennankore; George Worthen; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

Explainable Decision Support Using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks

William Van Woensel; Samina Abidi; Karthik Tennankore; George Worthen; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

MeSHup: Corpus for Full Text Biomedical Document Indexing

X Wang; RE Mercer; F Rudzicz

KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling

X Wang; B Mercer; F Rudzicz

MeSHup: A Corpus for Full Text Biomedical Document Indexing

Xindi Wang; Robert E. Mercer; Frank Rudzicz

KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling

Xindi Wang; Robert Mercer; Frank Rudzicz

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Detoxifying Language Models with a Toxic Corpus

Y Park; F Rudzicz

Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods

Yi Wan; Ali Rahimi-Kalahroudi; Janarthanan Rajendran; Ida Momennejad; Sarath Chandar; Harm van Seijen

Collaborative and Conditional Deep Adversarial Network for Intelligent Bearing Fault Diagnosis

Yi Xia; Chengzhi Zhang; Qiang Ye; Yixiang Lu; Runyu Yang; Yuhui Wu

IEEE Transactions on Instrumentation and Measurement

Detoxifying Language Models with a Toxic Corpus

Yoona Park; Frank Rudzicz

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion

Improving greedy core-set configurations for active learning with uncertainty-scaled distances

Yuchen Li; Frank Rudzicz

Routing Algorithms for Heterogeneous Vehicular Networks

Yujie Tang; Wen Wu

Wireless Networks

OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization

Z Zhu; S Shahtalebi; F Rudzicz

Predicting Fine-Tuning Performance with Probing

Z Zhu; S Shahtalebi; F Rudzicz

BigScience at ACL

On the data requirements of probing

Z Zhu; J Wang; B Li; F Rudzicz

Findings of the ACL

On the data requirements of probing

Zining Zhu; Jixuan Wang; Bai Li; Frank Rudzicz

Findings of the Association for Computational Linguistics: ACL 2022

OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization

Zining Zhu; Soroosh Shahtalebi; Frank Rudzicz

Predicting Fine-Tuning Performance with Probing

Zining Zhu; Soroosh Shahtalebi; Frank Rudzicz

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Predicting Fine-Tuning Performance with Probing

Zining Zhu; Soroosh Shahtalebi; Frank Rudzicz

Collaborative Service Placement for Maximizing the Profit in Mobile Edge Computing

Guotai Zeng; Hongwei Du; Qiang Ye; Chen Zhang

2021 IEEE Global Communications Conference (GLOBECOM)

Graph Convolutional Networks for Categorizing Online Harassment on Twitter

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Graph Convolutional Networks for Categorizing Online Harassment on Twitter

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Population-based incidence of invasive pneumococcal disease in children and adults in Ontario and British Columbia, 2002-2018: A Canadian Immunization Research Network (CIRN) study

Sharifa Nasreen; Jun Wang; Jeffrey C. Kwong; Natasha S. Crowcroft; Manish Sadarangani; Sarah E. Wilson; Allison McGeer; James D. Kellner; Caroline Quach; Shaun K. Morris; Beate Sander; Julianne V. Kus; Monika Naus; Linda Hoang; Frank Rudzicz; Shaza Fadel; Fawziah Marra

Digital activism and collective mourning by Chinese netizens during COVID-19

Xun Cao; Runxi Zeng; Richard Evans

China Information

A Design Communication Framework Based on Structured Knowledge Representation

Zhinan Zhang; Jun Liu; Richard David Evans; Ang Liu

IEEE Transactions on Engineering Management

Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining

Dong Zhang; Gangfeng Wang; Yupeng Xin; Xiaolin Shi; Richard Evans; Biao Guo; Pu Huang

Analysis of social media data for public emotion on the Wuhan lockdown event during the COVID-19 pandemic

Guang Cao; Lining Shen; Richard Evans; Zhiguo Zhang; Qiqing Bi; Wenjing Huang; Rui Yao; Wenli Zhang

Computer Methods and Programs in Biomedicine

A graph-based approach for positive and unlabeled learning

Julio Cesar Carnevali; Rafael Geraldeli Rossi; Evangelos Milios; Alneu de Andrade Lopes

Information Sciences

On the Application of Cooperative NOMA to Spatially Random Wireless Caching Networks

Long Yang; Hai Jiang; Qiang Ye; Mengmeng Ren; Jia Shi; Bingtao He; Yuchen Zhou; Jian Chen

IEEE Transactions on Vehicular Technology

1211. Incidence of All-Cause Community-Acquired Pneumonia in Ontario and British Columbia, Canada, 2002-2018; a Canadian Immunization Research Network (CIRN) study

Sharifa Nasreen; John Wang; Jeffrey Kwong; Natasha S Crowcroft; Manish Sadarangani; Sarah Wilson; Allison McGeer; James D Kellner; Caroline Quach; Shaun Morris; Shelly Bolotin; Beate Sander; Monika C Naus; Linda Hoang; Frank Rudzicz; Shaza A Fadel; Fawziah Marra

Open Forum Infectious Diseases

Learning-Based Transmission Protocol Customization for VoD Streaming in Cybertwin-Enabled Next-Generation Core Networks

Si Yan; Qiang Ye; Weihua Zhuang

IEEE Internet of Things Journal

Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming

Suresh Neethirajan

Frontiers in Veterinary Science

Staged reflexive artificial intelligence driven testing algorithms for early diagnosis of pituitary disorders

William Van Woensel; Manal Elnenaei; Syed Sibte Raza Abidi; David B. Clarke; Syed Ali Imran

Clinical Biochemistry

Vector-based pedestrian navigation in cities

Christian Bongiorno; Yulun Zhou; Marta Kryven; David Theurel; Alessandro Rizzo; Paolo Santi; Joshua Tenenbaum; Carlo Ratti

Nature Computational Science

A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders

Harvey Wang; Martin Alda; Thomas Trappenberg; Abraham Nunes

Psychiatric Genetics

82 Application of Precision Sensor Technologies, Real-time Data Analytics, and Dynamic Models on Extensive Western Rangeland Grazing Systems

Hector M Menendez; Jameson Brennan

Journal of Animal Science

ArtBeat - Deep Convolutional Networks for Emotional Inference to Enhance Art with Music

Liam Hebert; Elizabeth Eddy; Will Harrington; Lauryn Marchand; Jason d’Eon; Sageev Oore

Companion Publication of the 2021 International Conference on Multimodal Interaction

Evaluating visual analytics for text information retrieval

Sherlon Almeida da Silva; Evangelos E. Milios; Maria Cristina F. de Oliveira

Proceedings of the XX Brazilian Symposium on Human Factors in Computing Systems

83 Mapping Resilience Indicators and Measuring Emotions of Farm Animals Using Sensor Data

Suresh Neethirajan

2021 ASAS-CSAS-SSASAS Annual Meeting & Trade Show ASAS-NANP Symposium

Why Do Citizens Engage With the TikTok Accounts of Public Hospitals in China?

Wei Zhang; Jie Mei; Weifang Song; Richard Evans; Yaqian Xiang

Sensor-data Enabled Indicators in the Investigation of Livestock Resilience

Anne Pennings; Huib van den Heuvel; Amalia Mejia Pelaez; Ingrid Van der Werff; Suresh Neethirajan

Digital Transformation and the New Normal in China: How Can Enterprises Use Digital Technologies to Respond to COVID-19?

Ching-Hung Lee; Dianni Wang; Kevin C. Desouza; Richard Evans

Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations

Jose Marcio Duarte; Samuel Sousa; Evangelos Milios; Lilian Berton

Information Sciences

Understanding the Impact of COVID-19 on Online Mental Health Forums

Laura Biester; Katie Matton; Janarthanan Rajendran; Emily Mower Provost; Rada Mihalcea

ACM Transactions on Management Information Systems

Using molecular embeddings in QSAR modeling: does it make a difference?

Maria Virginia Sabando; Ignacio Ponzoni; Evangelos E Milios; Axel J Soto

Briefings in Bioinformatics

MediNER: Understanding Diabetes Management Strategies Based on Social Media Discourse

Oladapo Oyebode; Rita Orji

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)

Why Do Citizens Share COVID-19 Fact-Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model

Qiang Chen; Yangyi Zhang; Richard Evans; Chen Min

International Journal of Environmental Research and Public Health

Predicting the Distress of Financial Intermediaries using Convolutional Neural Networks

Stacey Taylor; Vlado Keselj

2021 IEEE 23rd Conference on Business Informatics (CBI)

Perceiving social events in a physical world

Tianmin Shu; Aviv Netanyahu; Marta Kryven; John Muchovej; Nakul Shenoy; Boris Katz; Andrei Barbu; Tomer Ullman; Josh Tenenbaum

Journal of Vision

Deep Reinforcement Learning Based Admission Control for Throughput Maximization in Mobile Edge Computing

Yitong Zhou; Qiang Ye; Hui Huang; Hongwei Du

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

A Framework To Build A Causal Knowledge Graph for Chronic Diseases and Cancers By Discovering Semantic Associations from Biomedical Literature

Ali Daowd; Michael Barrett; Samina Abidi; Syed Sibte Raza Abidi

2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)

Analyzing COVID-19 Tweets using Health Behaviour Theories and Machine Learning

Boma Graham-Kalio; Oladapo Oyebode; Nur Zincir-Heywood; Rita Orji

2021 IEEE 9th International Conference on Serious Games and Applications for Health(SeGAH)

Neural Networks for Seismic Data Inversion

Cassio M. Oishi; Fabio Vinicius Goes Amaral; Hugo Leonardo Franca; William Hideki Nakata; Diego Alecsander de Aguiar; Gilmar Francisco de Oliveira Santos; Debora de Oliveira Medeiros; Gabriel Spadon; Jose Fernando Rodrigues Jr; Jose Mario Martinez; Lucio Tunes Santos; Djalma Manoel Soares Filho

MTLV: a library for building deep multi-task learning architectures

Fatemeh Rahimi; Evangelos E. Milios; Stan Matwin

Proceedings of the 21st ACM Symposium on Document Engineering

Neural Abstractive Unsupervised Summarization of Online News Discussions

Ignacio Tampe; Marcelo Mendoza; Evangelos Milios

Lecture Notes in Networks and Systems

Using machine learning to predict children’s reading comprehension from linguistic features extracted from speech and writing

Jeanne Sinclair; Eunice Eunhee Jang; Frank Rudzicz

Journal of Educational Psychology

A unifying characterization of tree-based networks and orchard networks using cherry covers

Leo van Iersel; Remie Janssen; Mark Jones; Yukihiro Murakami; Norbert Zeh

Advances in Applied Mathematics

Efficient clustering of short text streams using online-offline clustering

Md Rashadul Hasan Rakib; Norbert Zeh; Evangelos Milios

Proceedings of the 21st ACM Symposium on Document Engineering

Efficient clustering of short text streams using online-offline clustering

Md Rashadul Hasan Rakib; Norbert Zeh; Evangelos Milios

Proceedings of the 21st ACM Symposium on Document Engineering

TreeCare: Development and Evaluation of a Persuasive Mobile Game for Promoting Physical Activity

Oladapo Oyebode; Anirudh Ganesh; Rita Orji

2021 IEEE Conference on Games (CoG)

SleepFit: A Persuasive Mobile App for Improving Sleep Habits in Young Adults

Oladapo Oyebode; Mona Alhasani; Dinesh Mulchandani; Tolulope Olagunju; Rita Orji

2021 IEEE 9th International Conference on Serious Games and Applications for Health(SeGAH)

Sine-Wave Speech and Privacy-Preserving Depression Detection

Sri Harsha Dumpala; Rudolf Uher; Stan Matwin; Michael Kiefte; Sageev Oore

SMM21, Workshop on Speech, Music and Mind 2021

Happy Cow or Thinking Pig? WUR Wolf-Facial Coding Platform for Measuring Emotions in Farm Animals

Suresh Neethirajan

The Use of Artificial Intelligence in Assessing Affective States in Livestock

Suresh Neethirajan

Frontiers in Veterinary Science

Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study

Syed Asil Ali Naqvi; Karthik Tennankore; Amanda Vinson; Patrice C Roy; Syed Sibte Raza Abidi

Journal of Medical Internet Research

Decision support for comorbid conditions via execution-time integration of clinical guidelines using transaction-based semantics and temporal planning

William Van Woensel; Syed Sibte Raza Abidi; Samina Raza Abidi

Artificial Intelligence in Medicine

A MULTI-AGENT REINFORCEMENT LEARNING FRAMEWORK FOR INTELLIGENT MANUFACTURING WITH AUTONOMOUS MOBILE ROBOTS

Akash Agrawal; Sung Jun Won; Tushar Sharma; Mayuri Deshpande; Christopher McComb

Proceedings of the Design Society

Cognitive Impairments in Spinocerebellar Ataxia Type 10 and Their Relation to Cortical Thickness

Amanda Chirino-Perez; Israel Vaca-Palomares; Diana L. Torres; Carlos R. Hernandez-Castillo; Rosalinda Diaz; Gabriel Ramirez-Garcia; Juan Fernandez-Ruiz

Movement Disorders

Cervical Spinal Cord Degeneration in Spinocerebellar Ataxia Type 7

C.R. Hernandez-Castillo; R. Diaz; T.J.R. Rezende; I. Adanyeguh; I.H. Harding; F. Mochel; J. Fernandez-Ruiz

American Journal of Neuroradiology

Time series classification for rumor detection

F. Weiss; M. Mendoza; E. Milios

11th International Conference of Pattern Recognition Systems (ICPRS 2021)

Multiservice Function Chain Embedding With Delay Guarantee: A Game-Theoretical Approach

Junling Li; Weisen Shi; Qiang Ye; Ning Zhang; Weihua Zhuang; Xuemin Shen

IEEE Internet of Things Journal

Secure Non-Orthogonal Multiple Access: An Interference Engineering Perspective

Lu Lv; Hai Jiang; Zhiguo Ding; Qiang Ye; Naofal Al-Dhahir; Jian Chen

Beyond Deepfake Technology Fear: On its Positive Uses for Livestock Farming

Suresh Neethirajan

ChickTrack - A Quantitative Tracking Tool for Measuring Chicken Activity

Suresh Neethirajan

Ethics of Digital Animal Farming

Suresh Neethirajan

Mapping the Cerebellar Cognitive Affective Syndrome in Patients with Chronic Cerebellar Strokes

Amanda Chirino-Perez; Oscar Rene Marrufo-Melendez; Jose Ignacio Munoz-Lopez; Carlos R. Hernandez-Castillo; Gabriel Ramirez-Garcia; Rosalinda Diaz; Lilia Nunez-Orozco; Juan Fernandez-Ruiz

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence

Bruno Brandoli; Andre R. de Geus; Jefferson R. Souza; Gabriel Spadon; Amilcar Soares; Jose F. Rodrigues; Jerzy Komorowski; Stan Matwin

Coughwatch: Real-World Cough Detection using Smartwatches

Daniyal Liaqat; Salaar Liaqat; Jun Lin Chen; Tina Sedaghat; Moshe Gabel; Frank Rudzicz; Eyal de Lara

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data

Demetres Kostas; Stephane Aroca-Ouellette; Frank Rudzicz

Frontiers in Human Neuroscience

Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation

Hojin Yang; Scott Sanner; Ga Wu; Jin Peng Zhou

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization

Why people adopt smart transportation services: an integrated model of TAM, trust and perceived risk

Junze Wang; Sheng Zhao; Wei Zhang; Richard Evans

Transportation Planning and Technology

Plankton classification with high-throughput submersible holographic microscopy and transfer learning

Liam MacNeil; Sergey Missan; Junliang Luo; Thomas Trappenberg; Julie LaRoche

BMC Ecology and Evolution

Learning-Based Computing Task Offloading for Autonomous Driving: A Load Balancing Perspective

Qiang Ye; Weisen Shi; Kaige Qu; Hongli He; Weihua Zhuang; Xuemin Sherman Shen

ICC 2021 - IEEE International Conference on Communications

CD16ahigh NK cell infiltration and spatial relationships with T cells and macrophages can predict improved progression-free survival in high grade ovarian cancer

Sarah Nersesian; Stacey N. Lee; Stephanie Grantham; Liliane Meunier; Laudine Communal; Thomas Arnason; Dirk Arnold; Brad H. Nelson; Anne-Marie Mes-Messon; Jeanette E. Boudreau

Energy-Efficient UAV-Enabled Data Collection via Wireless Charging: A Reinforcement Learning Approach

Shu Fu; Yujie Tang; Yuan Wu; Ning Zhang; Huaxi Gu; Chen Chen; Min Liu

IEEE Internet of Things Journal

Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion

Sri Harsha Dumpala; Sageev Oore

Canadian AI 2021

Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech

Sri Harsha Dumpala; Sheri Rempel; Katerina Dikaios; Mehri Sajjadian; Rudolf Uher; Sageev Oore

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Digital Livestock Farming

Suresh Neethirajan; Bas Kemp

Sensing and Bio-Sensing Research

Code smell detection by deep direct-learning and transfer-learning

Tushar Sharma; Vasiliki Efstathiou; Panos Louridas; Diomidis Spinellis

Journal of Systems and Software

HTR: A Joint Approach for Task Offloading and Resource Allocation in Mobile Edge Computing

Zilong Wang; Hongwei Du; Qiang Ye

ICC 2021 - IEEE International Conference on Communications

Ontology-Based Personalized Cognitive Behavioural Plans for Patients with Mild Depression

Aditi Nair; Syed Sibte Raza Abidi; William Van Woensel; Samina Abidi

Studies in Health Technology and Informatics

Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration

Alexandra-Maria Chaniotaki; Tushar Sharma

2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)

Building a Knowledge Graph Representing Causal Associations Between Risk Factors and Incidence of Breast Cancer

Ali Daowd; Michael Barrett; Samina Abidi; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

Firoj Alam; Fahim Dalvi; Shaden Shaar; Nadir Durrani; Hamdy Mubarak; Alex Nikolov; Giovanni Da San Martino; Ahmed Abdelali; Hassan Sajjad; Kareem Darwish; Preslav Nakov

Proceedings of the International AAAI Conference on Web and Social Media

CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Firoj Alam; Hassan Sajjad; Muhammad Imran; Ferda Ofli

Proceedings of the International AAAI conference on web and social media

AI can read a cow’s face to tell if it is stressed or excited

Michael Le Page

Tailoring Persuasive and Behaviour Change Systems Based on Stages of Change and Motivation

Oladapo Oyebode; Chinenye Ndulue; Dinesh Mulchandani; Ashfaq A. Zamil Adib; Mona Alhasani; Rita Orji

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

The role of religion and marital status in happiness perception of Spanish Entrepreneurs. A concept to be explore in the Post COVID-19 era

Rafael Ravina-Ripoll; Maria Jose Foncubierta-Rodriguez; Eduardo Ahumada-Tello; Richard David Evans

2021 IEEE Technology & Engineering Management Conference - Europe (TEMSCON-EUR)

Analyzing Association Rules for Graft Failure Following Deceased and Live Donor Kidney Transplantation

Syed Asil Ali Naqvi; Karthik Tennankore; Amanda Vinson; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

QScored: A Large Dataset of Code Smells and Quality Metrics

Tushar Sharma; Marouane Kessentini

2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)

Using Knowledge Graphs to Plausibly Infer Missing Associations in EMR Data

William Van Woensel; Chad Armstrong; Malavan Rajaratnam; Vaibhav Gupta; Syed Sibte Raza Abidi

Studies in Health Technology and Informatics

Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care

Yael Bensoussan; Jeremy Pinto; Matthew Crowson; Patrick R. Walden; Frank Rudzicz; Michael Johns III

Comparing Pre-trained and Feature-Based Models for Prediction of A

Aparna Balagopalan; Benjamin Eyre; Jessica Robin; Frank Rudzicz; Jekaterina Novikova

Frontiers in Aging Neuroscience

Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer’s Disease Based on Speech

Aparna Balagopalan; Benjamin Eyre; Jessica Robin; Frank Rudzicz; Jekaterina Novikova

Frontiers in Aging Neuroscience

Machine Learning–Based Prediction of Growth in Confirmed COVID-19

Arnold YS Yeung; Francois Roewer-Despres; Laura Rosella; Frank Rudzicz

Fourth Workshop on Exploratory Search and Interactive Data Analytics (ESIDA)

Dorota Glowacka; Evangelos Milios; Axel J Soto; Osnat Mokryn; Fernando V Paulovich; Denis Parra

26th International Conference on Intelligent User Interfaces

Plans or Outcomes: How do we attribute intelligence to others?

Marta Kryven; Tomer David Ullman; Bill Cowan; Joshua Tenenbaum

Cognitive Sciences

Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach

Oladapo Oyebode; Chinenye Ndulue; Ashfaq Adib; Dinesh Mulchandani; Banuchitra Suruliraj; Fidelia Anulika Orji; Christine T Chambers; Sandra Meier; Rita Orji

JMIR Medical Informatics

Modified Subspace Constrained Mean Shift Algorithm

Youness Aliyari Ghassabeh; Frank Rudzicz

Journal of Classification

Cyberbullying Among Adolescents and Children: A Comprehensive Review of the Global Situation, Risk Factors, and Preventive Measures

Chengyan Zhu; Shiqing Huang; Richard Evans; Wei Zhang

Frontiers in Public Health

Machine Learning for Medicine

Artificial Intelligence in Surgery: A Primer for Surgical Practice

Cerebellar Degeneration Signature in Huntington’s Disease

Gustavo Padron-Rivera; Rosalinda Diaz; Israel Vaca-Palomares; Adriana Ochoa; Carlos R. Hernandez-Castillo; Juan Fernandez-Ruiz

Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data

Lining Shen; Rui Yao; Wenli Zhang; Richard Evans; Guang Cao; Zhiguo Zhang

JMIR Medical Informatics

SHARq: sharing recursive queries in relational databases

Lucas C. Scabora; Gabriel Spadon; Mirela T. Cazzolato; Daniel S. Kaster; Agma J. M. Traina; Jose F. Rodrigues-Jr; Caetano Traina-Jr

Proceedings of the 36th Annual ACM Symposium on Applied Computing

Understanding the effects of personality traits on solver engagement in crowdsourcing communities: a moderated mediation investigation

Xiaoxiao Shi; Richard Evans; Wei Pan; Wei Shan

Information Technology & People

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks

Jose F. Rodrigues-Jr; Marco A. Gutierrez; Gabriel Spadon; Bruno Brandoli; Sihem Amer-Yahia

Information Sciences

Factors Driving Citizen Engagement With Government TikTok Accounts During the COVID-19 Pandemic: Model Development and Analysis

Qiang Chen; Chen Min; Wei Zhang; Xiaoyue Ma; Richard Evans

Journal of Medical Internet Research

Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder

Abraham Nunes; William Stone; Raffaella Ardau; Anne Berghofer; Alberto Bocchetta; Caterina Chillotti; Valeria Deiana; Franziska Degenhardt; Andreas J. Forstner; Julie S. Garnham; Eva Grof; Tomas Hajek; Mirko Manchia; Manuel Mattheisen; Francis McMahon; Bruno Muller-Oerlinghausen; Markus M. Nothen; Marco Pinna; Claudia Pisanu; Claire O’Donovan; Marcella D. C. Rietschel; Guy Rouleau; Thomas Schulze; Giovanni Severino; Claire M. Slaney; Alessio Squassina; Aleksandra Suwalska; Gustavo Turecki; Rudolf Uher; Petr Zvolsky; Pablo Cervantes; Maria del Zompo; Paul Grof; Janusz Rybakowski; Leonardo Tondo; Thomas Trappenberg; Martin Alda

Translational Psychiatry

Machine Learning Forecast of Growth in COVID-19 Confirmed Infection Cases with Non-Pharmaceutical Interventions and Cultural Dimensions: Algorithm Development and Validation

Arnold YS Yeung; Francois Roewer-Despres; Laura Rosella; Frank Rudzicz

DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage

Bruno Brandoli; Gabriel Spadon; Travis Esau; Patrick Hennessy; Andre C.P.L. Carvalho; Sihem Amer-Yahia; Jose F. Rodrigues-Jr

Computers and Electronics in Agriculture

Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation

Hamed Jelodar; Rita Orji; Stan Matwin; Swarna Weerasinghe; Oladapo Oyebode; Yongli Wang

FAST-ODT: A Lightweight Outlier Detection Scheme for Categorical Data Sets

Hongwei Du; Qiang Ye; Zhipeng Sun; Chuang Liu; Wen Xu

IEEE Transactions on Network Science and Engineering

Measuring Farm Animal Emotions-Sensor-Based Approaches

Suresh Neethirajan; Inonge Reimert; Bas Kemp

Prediction of lithium response using genomic data

William Stone; Abraham Nunes; Kazufumi Akiyama; Nirmala Akula; Raffaella Ardau; Jean-Michel Aubry; Lena Backlund; Michael Bauer; Frank Bellivier; Pablo Cervantes; Hsi-Chung Chen; Caterina Chillotti; Cristiana Cruceanu; Alexandre Dayer; Franziska Degenhardt; Maria Del Zompo; Andreas J. Forstner; Mark Frye; Janice M. Fullerton; Maria Grigoroiu-Serbanescu; Paul Grof; Ryota Hashimoto; Liping Hou; Esther Jimenez; Tadafumi Kato; John Kelsoe; Sarah Kittel-Schneider; Po-Hsiu Kuo; Ichiro Kusumi; Catharina Lavebratt; Mirko Manchia; Lina Martinsson; Manuel Mattheisen; Francis J. McMahon; Vincent Millischer; Philip B. Mitchell; Markus M. Nothen; Claire O’Donovan; Norio Ozaki; Claudia Pisanu; Andreas Reif; Marcella Rietschel; Guy Rouleau; Janusz Rybakowski; Martin Schalling; Peter R. Schofield; Thomas G. Schulze; Giovanni Severino; Alessio Squassina; Julia Veeh; Eduard Vieta; Thomas Trappenberg; Martin Alda

Scientific Reports

Language Modelling via Learning to Rank

A Frydenlund; G Singh; F Rudzicz

An unsupervised framework for tracing textual sources of moral change

A Ramezani; Z Zhu; F Rudzicz; Y Xu

Machine Learning Forecast of Growth in COVID-19 Confirmed Infection Cases with Non-Pharmaceutical Interventions and Cultural Dimensions: Algorithm Development and Validation

AYS Yeung; F Roewer-Despres; L Rosella; F Rudzicz

medRxiv preprint.

An unsupervised framework for tracing textual sources of moral change

Aida Ramezani; Zining Zhu; Frank Rudzicz; Yang Xu

Findings of the Association for Computational Linguistics: EMNLP 2021

Learning Control Sets for Lattice Planners from User Preferences

Alexander Botros; Nils Wilde; Stephen L. Smith

Springer Proceedings in Advanced Robotics

Controlling BigGAN Image Generation with a Segmentation Network

Aman Jaiswal; Harpreet Singh Sodhi; Mohamed Muzamil H; Rajveen Singh Chandhok; Sageev Oore; Chandramouli Shama Sastry

Lecture Notes in Computer Science

A web platform for collaborative semi-automatic OCR Post-processing

Ana Lidia Mechaca; Walter Gabriel Marmanillo; Eduardo Xamena; Juan Ramirez Orta; Ana Gabriela Maguitman; Evangelos E Milios

Machine learning-based prediction of growth in confirmed COVID-19 infection cases in 114 countries using metrics of nonpharmaceutical interventions and cultural dimensions …

Arnold YS Yeung; Francois Roewer-Despres; Laura Rosella; Frank Rudzicz

Journal of Medical Internet Research

Predictive Maintenance in Industry 4.0: Current Themes

Aymane Sahli; Richard Evans; Arthi Manohar

TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction

B Li; F Rudzicz

How is BERT surprised? Layerwise detection of linguistic anomalies

B Li; Z Zhu; G Thomas; Y Xu; F Rudzicz

ACL-IJCNLP 2021

TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction

Bai Li; Frank Rudzicz

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics

How is BERT surprised? Layerwise detection of linguistic anomalies

Bai Li; Zining Zhu; Guillaume Thomas; Yang Xu; Frank Rudzicz

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Hierarchical cnn-transformer based machine learning

C SHAIB; F Jinyue; F RUDZICZ

Coughwatch: Real-world cough detection using smartwatches

D Liaqat; S Liaqat; JL Chen; T Sedaghat; M Gabel; F Rudzicz; E de Lara

BENDR

Demetres Kostas; St'e

Frontiers in Human Neuroscience

Challenges for Reinforcement Learning in Healthcare

E Riachi; M Mamdani; M Fralick; F Rudzicz

Challenges for Reinforcement Learning in Healthcare

Elsa Riachi; Muhammad Mamdani; Michael Fralick; Frank Rudzicz

Implicit representations of event properties within contextual language models: Searching for “causativity neurons”

Esther Seyffarth; Younes Samih; Laura Kallmeyer; Hassan Sajjad

International Conference on Computational Semantics

Reinforcement Learning of Implicit and Explicit Control Flow in Instructions

Ethan A. Brooks; Janarthanan Rajendran; Richard L. Lewis; Satinder Singh

System, method, and computer program for cognitive training

F RUDZICZ; K FRASER; L KAUFMAN; M YANCHEVA

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Firoj Alam; Shaden Shaar; Fahim Dalvi; Hassan Sajjad; Alex Nikolov; Hamdy Mubarak; Giovanni Da San Martino; Ahmed Abdelali; Nadir Durrani; Kareem Darwish; Abdulaziz Al-Homaid; Wajdi Zaghouani; Tommaso Caselli; Gijs Danoe; Friso Stolk; Britt Bruntink; Preslav Nakov

Findings of the Association for Computational Linguistics: EMNLP 2021

FOR MEDICINE 3

Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice

Ethics of Artificial Intelligence in Surgery

Frank Rudzicz; Raeid Saqur

INTELLIGENCE IN 14

Frank Rudzicz; Raeid Saqur

Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice

Core knowledge objects in reasoning and language use for highly abstract inductive tasks

Gabrielle Ecanow; Catherine Wong; Sam Acquaviva; Yewen Pu; Marta Kryven; Josh Tenenbaum

Annual Meeting of the Cognitive Science Society

Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss

H Wei; F Rudzicz; D Fleet; T Grantcharov; B Taati

Machine Learning for Healthcare (MLHC2021)

Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss

Haiqi Wei; Frank Rudzicz; David J. Fleet; T. Grantcharov; B. Taati

Machine Learning for Healthcare Conference

A Learning-based Power Control Scheme for Edge-based eHealth IoT Systems

Haoru Su; Xiaoming Yuan; Yujie Tang; Rui Tian; Enchang Sun; Hairong Yan

KSII Transactions on Internet and Information Systems

Effect of Post-processing on Contextualized Word Representations

Hassan Sajjad; Firoj Alam; Fahim Dalvi; Nadir Durrani

Fine-grained Interpretation and Causation Analysis in Deep NLP Models

Hassan Sajjad; Narine Kokhlikyan; Fahim Dalvi; Nadir Durrani

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials

On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems

I Berlot-Attwell; F Rudzicz

Brain Structure and Degeneration Staging in Friedreich Ataxia: Magnetic Resonance Imaging Volumetrics from the ENIGMA-Ataxia Working Group

I. Harding; S. Chopra; F. Arrigoni; S. Boesch; A. Brunetti; S. Cocozza; L. Corben; A. Deistung; M. Delatycki; S. Diciotti; I. Dogan; S. Evangelisti; M. Franca; S. Goricke; N. Georgiou-Karistianis; L. Gramegna; P. Henry; C. Hernandez-Castillo; D. Hutter; N. Jahanshad; J. Joers; C. Lenglet; R. Lodi; D. Manners; Alberto R.M. Martinez; A. Martinuzzi; C. Marzi; M. Mascalchi; W. Nachbauer; Chiara Pane; D. Peruzzo; P. Pisharady; G. Pontillo; K. Reetz; T. Rezende; S. Romanzetti; F. Sacca; C. Scherfler; J. Schulz; A. Stefani; C. Testa; S. Thomopoulos; D. Timmann; Stefania Tirelli; C. Tonon; M. Vavla; G. Egan; P. Thompson

Annals of Neurology

On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems

Ian Berlot-Attwell; Frank Rudzicz

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation

J Wang; K-C Wang; F Rudzicz; M Brudno

On End-to-End Learning of Neural Goal-Oriented Dialog Systems

Janarthanan Rajendran

Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks

Janarthanan Rajendran; Jonathan K. Kummerfeld; Satinder Baveja

Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2021, Punta Cana, Dominican Republic, November 11, 2021

Jasmijn Bastings; Yonatan Belinkov; Emmanuel Dupoux; Mario Giulianelli; Dieuwke Hupkes; Yuval Pinter; Hassan Sajjad

ABCD: A Bach Chorale Discriminator

Jason d’Eon; Sageev Oore

NeurIPS Workshop on Machine Learning for Creativity and Design

Musical Speech: A Transformer-based Composition Tool

Jason d’Eon; Sri Harsha Dumpala; Chandramouli Shama Sastry; Dani Oore; Sageev Oore

Using machine learning to predict children’s reading comprehension from linguistic features extracted from speech and writing

Jeanne Sinclair; Eunice E Jang; Frank Rudzicz

Journal of Educational Psychology

Unsupervised document summarization using pre-trained sentence embeddings and graph centrality

Juan Ramirez-Orta; Evangelos Milios

Proceedings of the Second Workshop on Scholarly Document Processing

An Evaluation of Disentangled Representation Learning for Texts

KP Vishnubhotla; G Hirst; F Rudzicz

Findings of the ACL

An Evaluation of Disentangled Representation Learning for Texts

Krishnapriya Vishnubhotla; Graeme Hirst; Frank Rudzicz

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Outcomes of Cystectomy with MAINZ Pouch II and Epispadias Repair in Exstrophy Epispadias Complex in Adults: A Single-centre Experience from Pakistan

M. Hussain; Usman Qamar; Saeed Abidi; Tanzeel Guzdar; Quratul Ain Ghori; S. Rizvi

Journal of the College of Physicians and Surgeons-Pakistan : JCPSP

Active learning for medical code assignment

Martha Dais Ferreira; Michal Malyska; Nicola Sahar; Riccardo Miotto; Fernando Paulovich; Evangelos Milios

Acknowledgment to Reviewers of Micromachines in 2020

Micromachines Editorial Office

Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

Lecture Notes in Computer Science

Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

Lecture Notes in Computer Science

Graph Representation Learning in Document Wikification

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

Lecture Notes in Computer Science

Graph Representation Learning in Document Wikification

Mozhgan Saeidi; Evangelos Milios; Norbert Zeh

Lecture Notes in Computer Science

How transfer learning impacts linguistic knowledge in deep NLP models?

Nadir Durrani; Hassan Sajjad; Fahim Dalvi

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Digital phenotyping in livestock farming

Neethirajan Suresh; Kemp Bas

Social Network Analysis in Farm Animals: Sensor-Based Approaches

Neethirajan Suresh; Kemp Bas

Learning Reward Functions from Scale Feedback

Nils Wilde; Erdem Biyik; Dorsa Sadigh; Stephen L. Smith

“I Tried to Breastfeed but…”: Exploring Factors Influencing Breastfeeding Behaviours Based on Tweets Using Machine Learning and Thematic Analysis

Oladapo Oyebode; Richard Lomotey; Rita Orji

Regional brain morphology predicts pain relief in trigeminal neuralgia

Peter Shih-Ping Hung; Alborz Noorani; Jia Y. Zhang; Sarasa Tohyama; Normand Laperriere; Karen D. Davis; David J. Mikulis; Frank Rudzicz; Mojgan Hodaie

NeuroImage: Clinical

Regional brain morphology predicts pain relief in trigeminal neuralgia

Peter Shih-Ping Hung; Alborz Noorani; Jia Y. Zhang; Sarasa Tohyama; Normand Laperriere; Karen D. Davis; David J. Mikulis; Frank Rudzicz; Mojgan Hodaie

NeuroImage: Clinical

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

Prakhar Ganesh; Yao Chen; Xin Lou; Mohammad Ali Khan; Yin Yang; Hassan Sajjad; Preslav Nakov; Deming Chen; Marianne Winslett

Transactions of the Association for Computational Linguistics

Adaptive Medium Access Control Protocols for IoT-Enabled Mobile Networks

Qiang Ye; Weihua Zhuang

Wireless Networks

Conclusion and Future Works

Qiang Ye; Weihua Zhuang

Wireless Networks

Dynamic Resource Slicing for Service Provisioning

Qiang Ye; Weihua Zhuang

Wireless Networks

Intelligent Resource Management for Network Slicing in 5G and Beyond

Qiang Ye; Weihua Zhuang

Wireless Networks

Transport-Layer Protocol Customization for 5G Core Networks

Qiang Ye; Weihua Zhuang

Wireless Networks

Virtual Network Topology Design and E2E Delay Modeling

Qiang Ye; Weihua Zhuang

Wireless Networks

Corrections to “Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach”

Qiang Ye; Weisen Shi; Kaige Qu; Hongli He; W. Zhuang; X. Shen

IEEE Open Journal of Vehicular Technology

A Machine Learning Approach to Chronic Obstructive Pulmonary Disease Exacerbation Identification and Readmission Risk Quantification

R Fakhraei; L Kaneswaran; F Rudzicz; A Gershon; R Wu

Society of General Internal Medicine Annual Meeting.

A MACHINE LEARNING APPROACH TO CHRONIC OBSTRUCTIVE PULMONARY DISEASE EXACERBATION IDENTIFICATION AND READMISSION RISK QUANTIFICATION

Reza Fakhraei; Lanujan Kaneswaran; Frank Rudzicz; Andrea Gershon; Robert Wu

JOURNAL OF GENERAL INTERNAL MEDICINE

Social Network Analysis in Farm Animals: Sensor-Based Approaches. Animals 2021, 11, 434

S Neethirajan; B Kemp

dongmuljilbyeonggamjieisseo

World Food, Agriculture and Fisheries Magazine

WUR Wolf-A Facial Recognition System for Animal Welfare 2.0

SR Neethirajan; Bas Kemp

Proceedings of the 54th Congress of the ISAE: Developing animal behaviour and welfare: Real solutions for real problems

Music of Speech, and Speech of Depression

Communicating Natural Programs to Humans and Machines

Samuel Acquaviva; Yewen Pu; Marta Kryven; Theodoros Sechopoulos; Catherine Wong; Gabrielle E Ecanow; Maxwell Nye; Michael Henry Tessler; Joshua B. Tenenbaum

4 Do Farm Animals Have Feelings?

Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators

Scott C. Lowe; Robert Earle; Jason d’Eon; Thomas Trappenberg; Sageev Oore

LogAvgExp Provides a Principled and Performant Global Pooling Operator

Scott C. Lowe; Thomas Trappenberg; Sageev Oore

LogAvgExp Provides a Principled and Performant Global Pooling Operator

Scott C. Lowe; Thomas Trappenberg; Sageev Oore

Logical Activation Functions: Logit-space equivalents of Boolean Operators

Scott Lowe; Robert Earle; Jason d’Eon; Thomas Trappenberg; Sageev Oore

Population-based incidence of invasive pneumococcal disease in children and adults in O

Sharifa Nasreen; Jun Wang; Jeffrey C. Kwong; Natasha S. Crowcroft; Manish Sadarangani; Sarah E. Wilson; Allison McGeer; James D. Kellner; Caroline Quach; Shaun K. Morris; Beate Sander; Julianne V. Kus; Monika Naus; Linda Hoang; Frank Rudzicz; Shaza Fadel; Fawziah Marra

Significance of Speaker Embeddings and Temporal Context for Depression Detection

Sri Harsha Dumpala; Sebastian Rodriguez; Sheri Rempel; Rudolf Uher; Sageev Oore

Map Induction: Compositional spatial submap learning for efficient exploration in novel environments

Sugandha Sharma; Aidan Curtis; Marta Kryven; Josh Tenenbaum; Ila Fiete

Unpacking the computations of human spatial search under uncertainty: noisy utility maximization, discounting, and probability warping

Suhyoun Yu; Marta Kryven; Josh Tenenbaum; Max Kleiman-Weiner

Annual Meeting of the Cognitive Science Society

EmERGING TRENDS

Sukanta Sen; Mohammed Hasanuzzaman; Asif Ekbal; Pushpak Bhattacharyya; Andy Way; Weibo Wang; Aminul Islam; Abidalrahman Moh’d; Axel J Soto; Evangelos E Milios; Hala Mulki; Hatem Haddad; Mourad Gridach; Ismail Babaoglu; Hai Hu; Sandra Kubler; Haoda Feng; Feng Shi; Alexandra Birch

AI face analysis can tell if cows and pigs are excited or stressed

Suresh Neethirajan

AI software lets farmers see if the pigs are happy

Suresh Neethirajan

ASABE Resource Do Farm Animals Have Feelings?

Suresh Neethirajan

Artificial Intelligence in Investigation of Farm Animal’s Affective States

Suresh Neethirajan

First International Workshop on Research Methods in Animal Emotion Analysis

Artificial intelligence app gauges cow and pig livestock happiness

Suresh Neethirajan

Artificial intelligence tracks emotional state of cows and pigs

Suresh Neethirajan

Happy pigs and angry cows-AI can tell the emotions of farmyard animals

Suresh Neethirajan

Making Sense of Sensors based Big Data in Poultry and Swine Business

Suresh Neethirajan

Pigs, Poultry, the Planet and Data-Driven Problem-Solving Symposium NCSU

Measuring animal emotions - and why it matters

Suresh Neethirajan

Role of Big Data in Detecting Animal Diseases

Suresh Neethirajan

World Food, Agriculture and Fisheries Magazine, Korea FAO Association

Use of Biosensors in the Poultry Industry?

Suresh Neethirajan

DATAMATION: DigitAl Twin AniMAl emoTIONs

Suresh Neethirajan; Bas Kemp

72nd Annual Meeting of the European Federation of Animal Science

Digital twins in livestock farming. Animals 11 (4)

Suresh Neethirajan; Bas Kemp

Happy cow or thinking pig - facial recognition tool for automated welfare

Suresh Neethirajan; Bas Kemp

72nd Annual Meeting of the European Federation of Animal Science

Sensors for animals in future food systems - Farmworx approach

Suresh Neethirajan; Inonge Reimert; Ariette Knegsel; van Ingrid Dixhoorn; Liesbeth Bolhuis; Henry Brand; Bas Kemp

72nd Annual Meeting of the European Federation of Animal Science

A Survey on Machine Learning Techniques for Source Code Analysis

Tushar Sharma; Maria Kechagia; Stefanos Georgiou; Rohit Tiwari; Indira Vats; Hadi Moazen; Federica Sarro

Towards Model-Driven Semantic Interfaces for Electronic Health Records on Multiple Platforms Using Notation3

W. V. Woensel; S. Abidi; S. Abidi

Semantic Web Framework to Computerize Staged Reflex Testing Protocols to Mitigate Underutilization of Pathology Tests for Diagnosing Pituitary Disorders

William Van Woensel; Manal Elnenaei; Syed Ali Imran; Syed Sibte Raza Abidi

Lecture Notes in Computer Science

Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction

Yi Sui; Ga Wu; Scott Sanner

Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models

Yi Sui; Ga Wu; Scott Sanner

Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS-21)

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

Yingdong Qian; Marta Kryven; Tao Gao; Hanbyul Joo; Josh Tenenbaum

Quantifying the Task-Specific Information in Text-Based Classifications

Z Zhu; A Balagopalan; M Ghassemi; F Rudzicz

What do writing features tell us about AI papers?

Z Zhu; B Li; Y Xu; F Rudzicz

Modeling human planning in a life-like search-and-rescue mission

Zhutian Yang; Marta Kryven; Howard Shrobe; Josh Tenenbaum

Proceedings of the Annual Meeting of the Cognitive Science Society

Quantifying the Task-Specific Information in Text-Based Classifications

Zining Zhu; Aparna Balagopalan; Marzyeh Ghassemi; Frank Rudzicz

What do writing features tell us about AI papers?

Zining Zhu; Bai Li; Yang Xu; Frank Rudzicz

Exploring interface design to support caregivers’ needs and feelings of trust in online content

Thana Hussein; Preet K Chauhan; Nicole K Dalmer; Frank Rudzicz; Jennifer Boger

Journal of Rehabilitation and Assistive Technologies Engineering

Longitudinal Analysis of the Relation Between Clinical Impairment and Gray Matter Degeneration in Spinocerebellar Ataxia Type 7 Patients

Anabel Contreras; Gabriel Ramirez-Garcia; Amanda Chirino; Consuelo Morgado-Valle; Erick H. Pasaye; Carlos Hernandez-Castillo; Rosalinda Diaz; Juan Fernandez-Ruiz; Luis Beltran-Parrazal

How does internet usage affect the credit consumption among Chinese college students? A mediation model of social comparison and materialism

Xiaowen Zhu; Wei Ren; Qiang Chen; Richard Evans

Internet Research

Thinker invariance: enabling deep neural networks for BCI

Demetres Kostas; Frank Rudzicz

Journal of Neural Engineering

Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning

Jixuan Wang; Xiong Xiao; Jian Wu; Ranjani Ramamurthy; Frank Rudzicz; Michael Brudno

Interspeech 2020

A Conversational Robot for Older Adults with A

Chlo'e Pou-Prom; Stefania Raimondo; Frank Rudzicz

ACM Transactions on Human-Robot Interaction

Cognitive Decline and White Matter Integrity Degradation in Myotonic Dystrophy Type I

Maria Margarita Lopez-Titla; Amanda Chirino; Sara Vanessa Cruz Solis; Carlos R. Hernandez-Castillo; Rosalinda Diaz; Luz del Carmen Marquez-Quiroz; Jonathan J Magana; Luis Beltran-Parrazal; Juan Fernandez-Ruiz

Journal of Neuroimaging

Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study

Mohamed Abdalla; Moustafa Abdalla; Graeme Hirst; Frank Rudzicz

Using word embeddings to improve the privacy of clinical notes

Mohamed Abdalla; Moustafa Abdalla; Frank Rudzicz; Graeme Hirst

Journal of the American Medical Informatics Association (JAMIA)

Why online medical teams disband? The role of team diversity and leadership type

Jiaying Li; Hong Wu; Zhaohua Deng; Richard David Evans; Ziying Hong; Shan Liu

Information Technology & People

Natural Language Processing with Wearables in Healthcare: Opportunities, challenges, and considerations

F Rudzicz; R Ng; R Wu; G Carenini; K Ho; M Abdalla

A Textual Analysis of US

Peter M Clarkson; Jordan Ponn; Gordon D Richardson; Frank Rudzicz; Albert Tsang; Jingjing Wang

Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance

Shuja Khalid; Mitchell Goldenberg; Teodor Grantcharov; Babak Taati; Frank Rudzicz

JAMA Network Open

Nonuniform language in technical writing: Detection and correction

Weibo Wang; Aminul Islam; Abidalrahman Moh’d; Axel J. Soto; Evangelos E. Milios

Natural Language Engineering

Employee use of public social media: theories, constructs and conceptual frameworks

Qiang Chen; Junyan Hu; Wei Zhang; Richard Evans; Xiaoyue Ma

Behaviour & Information Technology

Modified Subspace Constrained Mean Shift Algorithm

Youness Aliyari Ghassabeh; Frank Rudzicz

Journal of Classification

To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer’s Disease Detection

A Balagopalan; B Eyre; F Rudzicz; J Novikova

Opening a Can of Words: Train-Test Overlaps in Clinical Natural Language Processing Datasets

A Balagopalan; T Naumann; F Rudzicz; M Ghassemi

Sequential Explanations with Mental Model-Based Policies

AYS Yeung; S Joshi; JJ Williams; F Rudzicz

Word class flexibility: A deep contextualized approach

B Li; G Thomas; Y Xu; F Rudzicz

Representation Learning for Discovering Phonemic Tone Contours

B Li; JY Xie; F Rudzicz

SIGMORPHON at ACL 2020

Task Force Report on Artificial Intelligence and Emerging Digital Technologies

Canada Royal College of Physicians; Surgeons of

Health Systems and Policy report.

The Ground Truth Trade-Off in Wearable Sensing Studies

D Liaqat; R Wu; S Liaqat; E de Lara; A Gershon; F Rudzicz

arXiv:2001.09738.

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP

J Chen; I Berlot-Attwell; X Wang; S Hossain; F Rudzicz

ClinicalNLP at EMNLP2020

Explainable Clinical Decision Support from Text

J Feng; C Shaib; F Rudzicz

Speaker attribution with voice profiles by graph-based semi-supervised learning

J Wang; X Xiao; J Wu; R Ramamurthy; F Rudzicz; M Brudno

Speaker diarization with session-level speaker embedding refinement using graph neural networks

J Wang; X Xiao; J Wu; R Ramamurthy; F Rudzicz; M Brudno

Evaluation of Speech-Based Digital Biomarkers: Review and Recommendations

Jessica Robin; JE Harrison; Liam D Kaufman; Frank Rudzicz; William Simpson; Maria Yancheva

Digital Biomarkers

Using ML to Evaluate Disorganized Speech in Schizophrenia

M Parsapoor; M Lee; C Gabilondo; F Rudzicz

2020 Congress of the Schizophrenia International Research Society.

Four equity considerations for the use of artificial intelligence in public health

Maxwell J Smith; Renata Axler; Sally Bean; Frank Rudzicz; James Shaw

Bulletin of the World Health Organization

Identification of primary and collateral tracks in stuttered speech

R Riad; Bachoud-Lévi; F Rudzicz; E Dupoux

On Losses for Modern Language Models

S Aroca-Ouellette; F Rudzicz

Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care

Yael E Bensoussan; Jeremy Pinto; Matthew G. Crowson; Patrick R. Walden; Frank Rudzicz; M. Johns

The Laryngoscope

Semantic coordinates analysis reveals language changes in the AI field

Z Zhu; Y Xu; F Rudzicz

Examining the rhetorical capacities of neural language models

Z Zhu; C Pan; M Abdalla; F Rudzicz

BlackboxNLP workshop at EMNLP 2020

An information theoretic view on selecting linguistic probes

Z Zhu; F Rudzicz

Development of a ternary hybrid fNIRS-EEG

Alborz Rezazadeh Sereshkeh; Rozhin Yousefi; Andrew T Wong; Frank Rudzicz; Tom Chau

Brain-Computer Interfaces

Artificial Intelligence and the Implementation Challenge

James Shaw; Frank Rudzicz; Trevor Jamieson; Avi Goldfarb

Automatically determining cause of death from verbal autopsy narratives

Serena Jeblee; Mireille Gomes; Prabhat Jha; Frank Rudzicz; Graeme Hirst

BMC Medical Informatics and Decision Making

WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches

D Liaqat; M Abdalla; P Abed-Esfahani; M Gabel; T Son; R Wu; A Gershon; F Rudzicz; E De Lara

ACM conference on Interactive, Mobile, Wearable and Ubiquitous Technologies 3(2)

Talk2Me: Automated linguistic data collection for personal assessment

Majid Komeili; Chlo'e Pou-Prom; Daniyal Liaqat; Kathleen C Fraser; Maria Yancheva; Frank Rudzicz

Machine learning for MEG during speech tasks

Demetres Kostas; Elizabeth Pang; Frank Rudzicz

Nature Scientific Reports

MySurgeryRisk and Machine Learning: A Promising Start to Real-time Clinical Decision Support

Lauren Gordon; Peter Austin; Frank Rudzicz; Teodor Grantcharov

Annals of Surgery

Augmenting word2vec with latent Dirichlet allocation within a clinical application

A Budhkar; F Rudzicz

Generative Adversarial Networks for text using word2vec intermediaries

A Budhkar; K Vishnubhotla; S Hossain; F Rudzicz

The 4th Workshop on Representation Learning for NLP (RepL4NLP) at ACL 2019

Generative Adversarial Networks for text using word2vec intermediaries

A Budhkar; K Vishnubhotla; S Hossain; F Rudzicz

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus

B Li; Y-T Hsu; F Rudzicz

Towards international standards for evaluating machine learning

F Rudzicz; PA Paprica; M Janczarski

SafeAI at AAAI19.

Predicting ICU transfers using text messages between nurses and doctors

FK Khattak; C Pou-Prom; R Wu; F Rudzicz

ClinicalNLP 2019

AutoScribe: Extracting clinically pertinent information from patient-clinician dialogues

FK Khattak; S Jeblee; N Crampton; M Mamdani; F Rudzicz

A survey of word embeddings for clinical text

Faiza Khan Khattak; Serena Jeblee; Chlo'e Pou-Prom; Mohamed Abdalla; Christopher Meaney; Frank Rudzicz

Journal of Biomedical Informatics

Talk2Me

Centroid-based deep metric learning for speaker recognition

J Wang; KC Wang; MT Law; F Rudzicz; M Brudno

How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction

KC Fraser; F Zeller; D Harris-Smith; S Mohammad; F Rudzicz

The 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2019)

Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling

KC Fraser; N Linz; B Li; KL Fors; F Rudzicz; A Konig; J Alexandersson; P Robert; D Kokkinakis

Explainable Artificial Intelligence for Safe Intraoperative Decision Support

Lauren Gordon; Teodor Grantcharov; Frank Rudzicz

Accessible data, health AI, and the human right to benefit from science and its applications

Marzyeh Ghassemi; Anna Goldenberg; Quaid D Morris; Frank Rudzicz; Bo Wang; Richard Zemel; Elham Dolatabadi; Garth A Gibson; P Alison Paprica

Health Law in Canada

Extracting relevant information from physician-patient dialogues for automated clinical note taking

S Jeblee; FK Khattak; N Crampton; M Mamdani; F Rudzicz

LOUHI 2019: The Tenth International Workshop on Health Text Mining and Information Analysis, November

Privacy versus artificial intelligence in medicine

Taryn J Rohringer; Akshay Budhkar; Frank Rudzicz

University of Toronto Medical Journal

Detecting cognitive impairments by agreeing on interpretations of linguistic features

Z Zhu; J Novikova; F Rudzicz

Modified mean shift algorithm

Youness Aliyari Ghassabeh; Frank Rudzicz

IET Image Processing

NeuroSpeech: An open-source software for Parkinson’s speech analysis

Juan Rafael Orozco-Arroyave; Juan Camilo V'a

Digital Signal Processing

Feasibility of Using a Smartwatch to Intensively Monitor Patients With Chronic Obstructive Pulmonary Disease: Prospective Cohort Study

Robert Wu; Daniyal Liaqat; Eyal de Lara; Tatiana Son; Frank Rudzicz; Hisham Alshaer; Pegah Abed-Esfahani; Andrea S Gershon

JMIR Mhealth Uhealth

A novel approach for acoustic estimation of neck fluid volume between men and women

Mehrnaz Shokrollahi; Frank Rudzicz; Daniel Vena; T Douglas Bradley; Azadeh Yadollahi

Medical & Biological Engineering & Computing

The Effect of Heterogeneous Data for Alzheimer’s Disease Detection from Speech

A Balagopalan; J Novikova; F Rudzicz; M Ghassemi

Augmenting word2vec with latent Dirichlet allocation within a clinical application

A Budhkar; F Rudzicz

Dropout during inference as a model for neurological degeneration in an image captioning network

B Li; R Zhang; F Rudzicz

Learning multiview embeddings for assessing dementia

C Pou-Prom; F Rudzicz

Challenges with Real-World Smartwatch based Audio Monitoring

D Liaqat; R Wu; A Gershon; H Alshaer; F Rudzicz; E de Lara

WearSys’18: 4th ACM Workshop on wearable systems and applications, June 10, 2018, Munich, Germany.

Speech in Smartwatch based Audio

D Liaqat; R Wu; A Gershon; H Alshaer; F Rudzicz; E de Lara

MobiSys ’18: The 16th Annual International Conference on Mobile Systems, Applications, and Services, June 10–15, 2018, Munich, Germany.

Towards Ambulatory Cough Monitoring using Smartwatches

D Liaqat; R Wu; T Son; A Gershon; H Alshaer; E de Lara; F Rudzicz

Proceedings of the American Thoracic Society.

Finding Patterns of Events in Laparoscopic Roux-en-Y Gastric Bypass with Machine Learning Techniques

L Gordon; F Rudzicz; T Grantcharov

Scientific Forum program at the American College of Surgeons.

Developing innovative interdisciplinary technological solutions for caregivers of older adults within Canada’s technology and aging network

L Demers; J Fast; WB Mortenson; F Routhier; C Auger; S Ahmed; J Boger; F Rudzicz; M Plante; J Eales; A Pysklywec

12th ISPRM World Congress, Paris France

Interactive Search through Iterative Refinement

M Wambua; S Raimondo; J Boger; J Polgar; H Chinaei; F Rudzicz

2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR’18) at SIGIR 2018, 12 July, Ann Arbor Michigan, USA

Reality Recalled: Elders, Memory and VR,

MJ Ladly; T Bakker; K Chadha; G Farrelly; K Micak; G Penn; F Rudzicz

Proceedings of the 2018 IEEE International Conference on Virtual Systems and Multimedia (VSMM).

Creating the CARE-RATE interface through multi-modal participatory design with caregivers of people with dementia

P Chauhan; J Boger; T Hussein; S Moon; J Rudzicz F Polgar

11th World Conference of the International Society for Gerontechnology (ISG2018), May 7-11, St. Petersburg, FL.

A Textual Analysis of U.S. Corporate Social Responsibility Reports

P Clarkson; J Ponn; G Richardson; F Rudzicz; A Tsang; J Wang

2018 Canadian Academic Accounting Association (CAAA) Annual Conference.

Feasibility Of Using Android Smartwatches For Nearly Continuous Monitoring Of Patients With COPD

R Wu; D Liaqat; E de Lara; T Son; F Rudzicz; H Alshaer; P Abed; A Gershon

Proceedings of the American Thoracic Society.

Touch-Supported Voice Recording to Facilitate Forced Alignment of Text and Speech in an E-Reading Interface,

RB Axtell; C Munteanu; CD Epp; F Rudzicz; Y Aly

Proceedings of the 2018 ACM International Conference on Intelligent User Interfaces.

Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks

S Jeblee; A Budhkar; S Milic; J Pinto; C Pou-Prom; K Vishnubhotla; G Hirst; F Rudzicz

CLEF 2018 eHealth Task 1.

ChainGAN: A sequential approach to GANs

S Hossain; K Jamali; Y Li; F Rudzicz

The Impact of Design on Feelings of Trust of Online Information for Family Caregivers of People with Dementia

T Hussein; J Boger; F Rudzicz

British Computer Society 32nd Human Computer Interaction Conference (BHCI-2018). 2-6 July, Belfast, UK.

DeepConsensus: using the consensus of features from multiple layers to attain robust image classification

Y Li; S Hossain; K Jamali; F Rudzicz

Robustness against the channel effect in pathological voice detection

Y-T Hsu; Z Zhu; C-T Wang; S-H Fang; F Rudzicz; Y Tsao

Detecting cognitive impairments by agreeing on interpretations of linguistic features

Z Zhu; J Novikova; F Rudzicz

Isolating effects of age with fair representation learning when assessing dementia

Z Zhu; J Novikova; F Rudzicz

Semi-supervised classification by reaching consensus among modalities,

Z Zhu; J Novikova; F Rudzicz

IRASL at NeurIPS.

Characterisation of voice quality of P

Milos Cernak; Juan Rafael Orozco-Arroyave; Frank Rudzicz; Heidi Christensen; Juan Camilo V'a

Computer Speech & Language

Rhetorical structure and A

Mohamed Abdalla; Frank Rudzicz; Graeme Hirst

Identifying and Avoiding Confusion in Dialogue with People with A

Hamidreza Chinaei; Leila Chan Currie; Andrew Danks; Hubert Lin; Tejas Mehta; Frank Rudzicz

Computational Linguistics

The Effect of Photoperiod on the Mood of R

Kawin Ethayarajh; Frank Rudzicz

Cyberpsychology, Behavior, and Social Networking

Early Detection of Cognitive Disorders Such As Dementia on the Basis of Speech Analysis - a Cross-Linguistic Comparison of Speech Features

A Konig; F Rudzicz; KC Fraser; L Kaufman; J Alexandersson; N Linz; J Troger; M Wolters; F Bremond; P Robert

Proceedings of AAIC2017.

Studying neurodegeneration with automated linguistic analysis of speech data

EA Korcovelos; KC Fraser; J Meltzer; Hirst; G; F Rudzicz

Proceedings of AAIC2017.

Ludwig: A conversational robot for people with Alzheimer’s

F Rudzicz; S Raimondo; C Pou-Prom

Proceedings of AAIC2017.

CARE-RATE: Initial development of an artificially intelligent online tool for connecting caregivers to relevant support

J Boger; F Rudzicz; H Chinaei; K Jónasdóttir; Wambua; M; J Polgar

Proceedings of RESNA2017.

Multi-view representation learning via GCCA for multimodal analysis of Parkinson’s disease

JC Vasquez-Correa; JR Orozco-Arroyave; R Arora; E Noeth; N Dehak; H Christensen; F Rudzicz; T Bocklet; M Cernak; H Chinaei; J Hannick; PS Nidadavolu; M Yancheva; A Vann; N Vogler

Proceedings of ICASSP 2017

Detecting Anxiety through Reddit

JH Shen; F Rudzicz

Proceedings of CLPsych at ACL2017

On the impact of non-modal phonation on phonological features

M Cernak; E Noeth; F Rudzicz; H Christensen; JR Orozco-Arroyave; R Arora; T Bocklet; H Chinaei; J Hannink; PS Nidadavolu; JC Vasquez; M Yancheva; A Vann; N Vogler

Proceedings of ICASSP 2017

On the importance of normative data in speech-based assessment

Z Noorian; C Pou-Prom; F Rudzicz

Random Item Generation Is Affected by Age

Namita Multani; Frank Rudzicz; Wing Yiu Stephanie Wong; Aravind Kumar Namasivayam; Pascal van Lieshout

Journal of Speech, Language, and Hearing Research

Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search

Shen-Shyang Ho; Peng Dai; Frank Rudzicz

IEEE Transactions on Neural Networks and Learning Systems

The mean shift algorithm and its relation to kernel regression

Youness Aliyari Ghassabeh; Frank Rudzicz

Information Sciences

Acoustic-articulatory relationships and inversion in sum-product and deep-belief networks

Frank Rudzicz; Arvid Frydenlund; Sean Robertson; Patricia Thaine

Speech Communication

Principal differential analysis for detection of bilabial closure gestures from articulatory data

Farook Sattar; Frank Rudzicz

Computer Speech & Language

Toward Dementia Diagnosis via Artificial Intelligence

Digital Surgery

Speech Production in Speech Technologies

Karen Livescu; Frank Rudzicz; Eric Fosler-Lussier; Mark Hasegawa-Johnson; Jeff Bilmes

Computer Speech & Language

Prosody and Semantics Are Separate but Not Separable Channels in the Perception of Emotional Speech: Test for Rating of Emotions in Speech

Boaz M Ben-David; Namita Multani; Vered Shakuf; Frank Rudzicz; Pascal HHM van Lieshout

Journal of Speech, Language, and Hearing Research

Fast adaptive algorithms for optimal feature extraction from Gaussian data

Youness Aliyari Ghassabeh; Frank Rudzicz; Hamid Abrishami Moghaddam

Pattern Recognition Letters

Speech interaction with personal assistive robots in the home for people with Alzheimer’s disease

Proceedings of the 45th Annual Scientific and Educational Meeting of the CAG.

An online resource for caregivers of persons with dementia

F Rudzicz; J Polgar

Gerontechnology (ISG2016).

Detecting late-life depression in Alzheimer’s disease through analysis of speech and language

K Fraser; F Rudzicz; G Hirst

Proceedings of the Third Computational Linguistics and Clinical Psychology Workshop (CLPsych) at NAACL.

Linguistic Features Identify Alzheimer’s Disease in Narrative Speech

Kathleen C Fraser; Jed A Meltzer; Frank Rudzicz

Journal of Alzheimer’s Disease

Speech recognition in Alzheimer’s disease and in its assessment

L Zhou; K Fraser; F Rudzicz

Proceedings of Interspeech 2016.

Is the progression of neuropsychiatric symptoms similar in early-onset and late-onset Alzheimer’s disease?

M Multani; F Rudzicz; MC Tartaglia

Proceedings of AAIC2016.

Sex specific variations in tracheal sound features due to fluid retention in the neck

M Shokrollahi; F Rudzicz; A Yadollahi

Proceedings of the American Thoracic Society, May 2016, San Francisco.

Snoring Sound Detection from Respiratory Signal

M Shokrollahi; S Saha; PH Mohammadabadi; F Rudzicz; A Yadollahi

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Vector-space topic models for detecting Alzheimer’s disease

M Yancheva; F Rudzicz

Proceedings of the annual meeting of the Association for Computational Linguistics (ACL16).

CloudCAST - Remote speech technology for speech professionals

P Green; R Marxer; S Cunningham; H Christensen; F Rudzicz; M Yancheva; A Coy; M Malavasi; L Desideri; F Tamburini

Proceedings of Interspeech 2016.

Sex, drugs, and violence

S Raimondo; F Rudzicz

Predicting health inspection results from online restaurant reviews

S Wong; H Chinaei; F Rudzicz

Combining word prediction and r-ary Huffman coding for text entry

SW Kim; F Rudzicz

Proceedings of the Seventh Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2016) at Interspeech 2016.

2D Psychoacoustic modeling of equivalent masking for automatic speech recognition

Peng Dai; Frank Rudzicz; Ing Yann Soon; Alex Mihailidis; Huijun Ding

Signal Processing

Incremental algorithm for finding principal curves

Youness Aliyari Ghassabeh; Frank Rudzicz

IET Signal Processing

Treatment intensity and childhood apraxia of speech

Aravind K. Namasivayam; Margit Pukonen; Debra Goshulak; Jennifer Hard; Frank Rudzicz; Toni Rietveld; Ben Maassen; Robert Kroll; Pascal van Lieshout

International Journal of Language Communication Disorders

Speech Interaction with Personal Assistive Robots Supporting Aging at Home for Individuals with A

Frank Rudzicz; Rosalie Wang; Momotaz Begum; Alex Mihailidis

ACM Transactions on Accessible Computing

Perspectives on Speech and Language Interaction for Daily Assistive Technology

Heidi Christensen; Frank Rudzicz; FranPortet; Jan Alexandersson

ACM Transactions on Accessible Computing (TACCESS)

Fast incremental LDA feature extraction

Youness Aliyari Ghassabeh; Frank Rudzicz; Hamid Abrishami Moghaddam

Pattern Recognition

Sequential behavior prediction based on hybrid similarity and cross-user activity transfer

Peng Dai; Shen-Shyang Ho; Frank Rudzicz

Knowledge-Based Systems

Lateralization in emotional speech perception following transcranial direct current stimulation

A Francois-Nienaber; JA Meltzer; F Rudzicz

Proceedings of Interspeech 2015.

Emotional affect estimation using video and EEG data in deep neural networks

A Frydenlund; F Rudzicz

Proceedings of Canadian AI 2015.

Automatic identification of received language in MEG

E Parisotto; YA Ghassabeh; MJ MacDonald; A Cozma; EW Pang; F Rudzicz

Proceedings of Interspeech 2015.

EEG dimensionality reduction in automatic identification of synonymy

E Parisotto; YA Ghassabeh; S Freydoonnejad; F Rudzicz

In Proceedings of ICASSP 2015.

Social media in human-robot-interaction

F Zeller; D Harris Smith; JA Duong; M Alanna; E Bagheri; F Rudzicz

Proceedings of the 2015 International Conference on Social Media & Society.

Kara One

Learning measures of semi-additive behaviour

H Chinaei; M Rais-Ghasem; F Rudzicz

Postcard Memories: Analysis of preliminary usability studies of a mobile postcard application geared towards older adults with early stage dementia of the Alzheimer’s type

M Ladly; F Rudzicz; L Wright; Ludlow; BA; A Jofre; C Chen; K Chadha

Proceedings of Qualitatives 2015.

Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias

M Yancheva; K Fraser; F Rudzicz

Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015.

Remote speech technology for speech professionals - the CloudCAST initiative

P Green; R Marxer; S Cunningham; H Christensen; F Rudzicz; M Yancheva; A Coy; M Malavasi; L Desideri

Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015.

Automatic dysfluency detection in dysarthric speech using deep belief networks

S Oue; R Marxer; F Rudzicz

Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015.

Classifying phonological categories in imagined and articulated speech

S Zhao; F Rudzicz

Proceedings of ICASSP 2015

Noisy Source Vector Quantization Using Kernel Regression

Youness Aliyari Ghassabeh; Frank Rudzicz

IEEE Transactions on Communications

Adjusting dysarthric speech signals to be more intelligible

Computer Speech & Language

Acoustic Estimation of Neck Fluid Volume

Azadeh Yadollahi; Frank Rudzicz; Sara Mahallati; Marina Coimbra; TD Bradley

Annals of Biomedical Engineering

Automatically identifying trouble-indicating speech behaviors in Alzheimer’s disease

F Rudzicz; L Chan-Currie; A Danks; T Mehta; S Zhao

Proceedings of ACM ASSETS, Rochester NY.

Speech recognition in Alzheimer’s disease with personal assistive robots

F Rudzicz; R Wang; M Begum; A Mihailidis

Proceedings of the Fifth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2014) at the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), 26 June, Baltimore USA.

Subject independent identification of breath sounds components using multiple classifiers

H Alshaer; A Pandya; TD Bradley; F Rudzicz

Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP14), 4–9 May, Firenze Italy.

Combining different modalities in classifying phonological categories

S Zhao; F Rudzicz

Proceedings of MLINI2014, NIPS workshop on machine learning and interpretation in neuroimaging, Montreal Canada.

Automatic detection of expressed emotion in Parkinson’s disease

S Zhao; F Rudzicz; LG Carvalho; C Márquez-Chin; S Livingstone

Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP14), 4-9 May, Firenze Italy.

Variations in respiratory sounds in relation to fluid accumulation in the upper airways

A Yadollahi; F Rudzicz; A Montazeri; TD Bradley

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3-7 July, Osaka Japan.

Motor Speech Research Study

AK Namasivayam; R Kroll; M Pukonen; D Goshulak; P Van Lieshout; B Maassen; T Rietveld; F Rudzicz

Excellence in Applied Research award from the National Speech-Language & Audiology Canada - National.

Classification of vibratory patterns of the upper airway during sleep

H Alshaer; F Rudzicz; TH Falk; W-H Tseng; TD Bradley

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3-7 July, Osaka Japan.

Using text and acoustic features to diagnose progressive aphasia and its subtypes

K Fraser; F Rudzicz; E Rochon

Proceedings of Interspeech

Automatic speech recognition in the diagnosis of primary progressive aphasia

K Fraser; F Rudzicz; N Graham; E Rochon

Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2013), 21-22 August, Grenoble France.

An Evidence Based Care Pathway for Preschool Children with Motor Speech Disorders

M Pukonen; AK Namasivayam; D Goshulak; F Rudzicz; B Maassen; PHHM Van Lieshout

Seminar at the American Speech-Language-Hearing Association Convention, Chicago, USA (November 14-16).

Automatic detection of deception in child-produced speech using syntactic complexity features

M Yancheva; F Rudzicz

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), 4-9 August, Sofia Bulgaria.

Vocal tract representation in the recognition of cerebral palsied speech

Frank Rudzicz; Graeme Hirst; Pascal van Lieshout

Journal of Speech, Language, and Hearing Research (JSLHR)

Using articulatory likelihoods in the recognition of dysarthric speech

Speech Communication

Perceptually induced speech motor representations

C Neufeld; R Craioveanu; F Rudzicz; W Wong; P Van Lieshout

Proceedings of the International Symposium on Imitation and Convergence in Speech, 3-5 September, Aix-en-Provence France.

Communication strategies for a computerized caregiver for individuals with Alzheimer’s disease

F Rudzicz; R Wilson; A Mihailidis; E Rochon; C Leonard

Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2012) at the 13th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2012), 8 June, Montreal Canada.

The TORGO database of acoustic and articulatory speech from speakers with dysarthria

Frank Rudzicz; Aravind Kumar Namasivayam; Talya Wolff

Language Resources and Evaluation

Sentence recognition from articulatory movements for silent speech interfaces

J Wang; A Samal; JR Green; F Rudzicz

Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP12), March 25-30, Kyoto, Japan.

Whole-word recognition from articulatory movements for silent speech interfaces

J Wang; A Samal; JR Green; F Rudzicz

Proceedings of Interspeech 2012, September 9-13, Portland Oregon.

Articulatory knowledge in the recognition of dysarthric speech

IEEE Transactions on Audio, Speech, and Language Processing (TASLP)

Voice onset self-monitoring and evaluation skills in persons who stutter

AK Namasivayam; P Van Lieshout; R Kroll; J Le; F Rudzicz

Proceedings of the 2011 International Speech Production Seminar (ISSP11), June 20-23, Montreal Canada.

T-RES: test of rating of emotions in speech: interaction of affective cues expressed in lexical content and prosody of spoken sentences

BM Ben-David; N Multani; NA-M Durham; F Rudzicz; Lieshout Van; P

Proceedings of the 27th Annual Meeting of the International Society for Psychophysics (Fechner Day 2011), pp. 391-396.

Acoustic transformations to improve the intelligibility of dysarthric speech

Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2011) at the ACL Conference on Empirical Methods in Natural Language Processing (EMNLP2011), 30 July, Edinburgh Scotland.

Production knowledge in the recognition of dysarthric speech

Doctor of Philosophy, University of Toronto.

Using acoustic measures to predict automatic speech recognition performance for dysarthric speakers

K Mengistu; F Rudzicz; T Falk

Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications at INTERSPEECH 2011, August, Firenze Italy.

Adapting acoustic and lexical models to dysarthric speech

KT Mengistu; F Rudzicz

Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP11), May 22–27, Prague, Czech Republic.

Comparing humans and automatic speech recognition systems in recognizing dysarthric speech

KT Mengistu; F Rudzicz

Proceedings of the Canadian Conference on Artificial Intelligence, May 25-27, St. John’s Canada.

Correcting errors in speech recognition with articulatory dynamics

Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), pages 60–68, July 11-16, Uppsala Sweden.

Adaptive kernel canonical correlation analysis for estimation of task dynamics from acoustics,

Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’10), March 14-19, Dallas, Texas.

Learning mixed acoustic/articulatory models for disabled speech

Proceedings of the Workshop on Machine Learning for Assistive Technologies at the twenty-fourth annual conference on Neural Information Processing Systems (NIPS 2010), pages 70-78, December, Whistler, British Columbia.

Towards a noisy-channel model of dysarthria in speech recognition

Proceedings of the First Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) at the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2010), June 2-6, Los Angeles California, pages 80-88.

Identifying articulatory goals from kinematic data using principal differential analysis

M Reimer; F Rudzicz

Proceedings of Interspeech 2010, pages 1608-1611, September 26-30, Makuhari Japan.

Applying discretized articulatory knowledge to dysarthric speech

Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’09), April 19-24, Taipei, Taiwan.

Phonological features in discriminative classification of dysarthric speech

Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’09), April 19-24, Taipei, Taiwan.

Summarizing multiple spoken documents: finding evidence from untranscribed audio

X Zhu; G Penn; F Rudzicz

Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, August 2009, pp. 549-557, Suntec, Singapore.

Towards a Comparative Database of Dysarthric Articulation

F Rudzicz; P Van Lieshout; G Hirst; G Penn; F Shein; T Wolff

Proceedings of the International Speech Production Seminar (ISSP08), December 8-12, Strasbourg France.

A critical assessment of spoken utterance retrieval through approximate lattice representations

S Kazemian; F Rudzicz; G Penn; C Munteanu

Proceedings of the ACM International Conference on Multimedia Information Retrieval (MIR2008), October 30-31, Vancouver Canada.

Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech

Proceedings of Ninth International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’07), October 15-17 2007, Tempe USA.

Put a grammar here: Bi-directional parsing in multimodal interaction

Proceedings of the CHI 2006 Extended Abstracts, Montréal, Québec.

CLAVIUS: Understanding language understanding in multimodal interaction

Master’s of Engineering Thesis, McGill University.

Clavius: Bi-directional parsing for generic multimodal interaction

Proceedings of COLING-ACL 2006, July 17-21 2006, Sydney Australia.

Palettes transparentes hybrides appliquées aux environnements immersifs,

F Rioux; F Rudzicz; M Wozniewski

Proceedings of the 16th Conférence Francophone sur l’Interaction Homme-Machine, Namur, Belgium.

Discriminative Training of Language Models in the CMU Sphinx Framework: Experiments and Analysis

Technical report for ECSE-523, Department of Electrical and Computer Engineering, McGill University.

The Modellers’ Apprentice - The toolglass metaphor in an immersive environment

FranRioux; Frank Rudzicz; Mike Wozniewski

Proceedings of the 18th British HCI Group Annual Conference

A framework for 3D visualisation and manipulation in an immersive space using an untethered bimanual gestural interface

Y Boussemart; F Rioux; F Rudzicz; M Wozniewski; J Cooperstock

Proceedings of the ACM Symposium on Virtual Reality Software and Technology, Hong Kong.

Using knowledge-poor coreference resolution for text summarization

Sabine Bergler; Rene Witte; Michelle Khalife; Zhuoyan Li; Frank Rudzicz

Proceedings of HLT-NAACL 2003 Text Summarization Workshop (DUC 03)

ALICE: A Line-based Coordinate Estimator: Towards a More Robust Soccer Robot

Technical report for ECSE-494, Department of Electrical and Computer Engineering, McGill University.

Cross-document NP coreference: Shallow syntactic heuristics vs. probabilistic networks

Technical Report, CLaC Labs.

Experiments and analysis in cross-document NP-coreference

Honours Thesis, Concordia University.

Fuzzy pronominal coreference: Two approaches

Technical Report, CLaC Labs.

Towards reliable intra-text NP-Coreference in ERS: A practical implementation of a rule-based approach

Technical report for NSERC USRA.

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