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Dalhousie University

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AI

AI Award Security 

ACM Best Paper Award 2018!

February 15, 2019February 15, 2019 Nur Zincir-Heywood

Congratulations to Duc, Sara, Nur and Malcolm for receiving the Best paper Award at ACM GECCO 2018 – Real World

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AI Award 

Humies Award 2018!

February 15, 2019February 15, 2019 Nur Zincir-Heywood

Congratulations to Stephen Kelly and Malcolm I. Heywood, who won the Silver Humies Award at ACM GECCO 2018! Their research: Emergent

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AI 

Best Paper Nomination 2018

February 15, 2019February 15, 2019 Nur Zincir-Heywood

Congratulations to Robert and Malcolm whose paper nominated for the Best Paper Award at EuroGP 2018!

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AI Award 

EuroGP’2017 Best Paper Award!

July 11, 2017February 15, 2019 Nur Zincir-Heywood 0 Comments

Congratulations to Stephen Kelly and Malcolm Heywood, their paper titled – “Emergent Tangled Graph Representations for Atari Game Playing Agents”

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Resources

NIMS Data Sets
NetMate is employed to generate flows and compute feature values on the above data sets. Data sets are available for researchers in ARFF/CSV format which are ready to be used with Weka.

SBB
SBB is a form of genetic programming based learning algorithm which is designed and developed to solve tasks using a co-evolutionary approach.

Tcpreplay
Tcpreplay is a suite of BSD GPLv3 licensed tools written by Aaron Turner for UNIX (and Win32 under Cygwin) operating systems which gives you the ability to use previously captured traffic to test a variety of network devices.

NetMate
We use NetMate at NIMS to convert capture files of network traffic into flow statistics. NetMate lets you generate a comma separated value file containing flows from a capture file.

Tranalyzer
Tranalyzer2 is a lightweight flow generator and packet analyzer application designed for researchers with an emphasis on simplicity, performance, and scalability.

Softflowd
Softflowd is flow-based network traffic analyser capable of Cisco NetFlow data export. Softflowd semi-statefully tracks traffic flows recorded by listening on a network interface or by reading a packet capture file.

Circos
Circos is a software package for visualizing data and information. It visualizes data in a circular layout – this makes Circos ideal for exploring relationships between objects or positions.

Weka
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code.

MOA
MOA is an open source framework for data stream mining. It includes a collection of machine learning algorithms including classification, regression, clustering, outlier detection, concept drift detection, and recommender systems.

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