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News and events

CSIS Seminar by Geoff Wyvill and Joshua La Pine

Friday, 13 October 2017 9:58am

Understanding Timbre: Science and Music

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CSIS Seminar by Russel Mesbah

Friday, 6 October 2017 11:32am

In this talk, I will address three main issues of using CNNs for medical image semantic segmentation.

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CSIS Seminar by Manjula Devananda

Friday, 29 September 2017 9:53am

Workload Management of a primary health centre through prediction using care-plans for long term conditions.

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$1 million MBIE "Smart Idea" grant to advance augmented reality

Friday, 22 September 2017 3:45pm

A $1 million MBIE Endeavour "Smart Ideas" grant has been awarded to Department of Computer Science’s Dr Stefanie Zollmann and her team from Computer Science, Information Science and Physical Education for their research titled “Situated visualisation to enrich sports experience for on-site spectators”.

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CSIS Seminar by Lizhi Peng, University of Jinan, China

Friday, 22 September 2017 1:37pm

In this talk, I will present a new probability learning based particle swarm optimization (PLPSO) algorithm for large-scale optimization.

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CSIS Seminar By Professor Michael Winikoff

Friday, 15 September 2017 1:11pm

Autonomous systems are rapidly transitioning from labs into our lives. A crucial question concerns trust: in what situations will we (appropriately) trust such systems?

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CSIS Seminar by Brendan McCane

Friday, 8 September 2017 1:03pm

What are deep networks good for? Find out at this weeks seminar.

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New publication by Michael Winikoff in The Conversation

Tuesday, 29 August 2017 1:47pm

How to make robots that we can trust.

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CSIS Seminar by Hank Wolfe

Friday, 25 August 2017 10:05am

Introduction to Electronic Forensics

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CSIS Seminar by Sean Lee

Friday, 18 August 2017 1:19pm

Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Power Grids

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CSIS Seminar CANCELLED TODAY

Friday, 11 August 2017 9:14am

This weeks seminar cancelled.

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CSIS Seminar by Richard O'Keefe

Friday, 4 August 2017 2:13pm

Association mining is a well established data mining technique that takes a collection of sets of items and infers rules.