Page 3 of 1221 to 30 of 114 Past Events
2017
May
April
March
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Computing Seminar: Deep Learning and Ensemble Learning, by Dr. Jayne and Dr. Elyan
-Deep Learning and Ensemble Learning Chrisina Jayne and Eyad Elyan There has been a significant research interest in recent years related to deep architectures, which refer to neural network architectures with a larger number of hidden layers. The breakthrough paper published in 2006 by Hinton et al. introduced unsupervised fast, greedy learning...
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Computing Seminar: "Neural computation for sequence classification" by Dr. Dybowski
-Brief: The seminar will provide a review of neural-based approaches to sequence classification from feed-forward networks to recurrent neural networks and finishing with the neural Turing machine. Bio: I obtained a PhD in computational chemistry at Leeds University looking at symbolic and statistical approaches to the diagnosis of endocrine metabolites. Whilst a research fellow with King's College...
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Computing Seminar: "From design patterns to the automated design of algorithms" by Dr. Woodward
-Computing Seminar: Speaker: Dr John Woodward from Stirling University http://www.cs.stir.ac.uk/~jrw/ Title: From design patterns to the automated design of algorithms Abstract: Design Patterns have informed us when we need to provide solutions to Object Oriented design problems. This talk looks at how design patterns can assist us in building metaheuristic solutions and avoid reinventing the wheel. ...
February
2016
October
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Improving children's engagement with user evaluation questionnaires
-Questionnaires are the most commonly used user evaluation method. However, when user evaluation questionnaires are used to evaluate systems with children, there is a tendency for positive results to be generated. Whilst this may be due to the high quality of the system being evaluated, it could also be due...
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Computing Science: PGR Workshop
-PGR Workshop: Friday 21 October 2.00-3.00pm
September
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Computing Science Seminar. Robertson on "New Frontiers for Computing Science in Population Health"
-Abstract: Rapid advances in our ability to acquire and propagate medical data mean that we can radically change the basis for healthcare through precision medicine. To achieve this at scale, however, requires change in the way we work with data in healthcare systems. I will discuss recent work on aspects...
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Computing Science Seminar. Dr. Meneguzzi on "A Bayesian approach to norm identification"
-Abstract: When entering a system, an agent should be aware of the obligations and prohibitions (collectively norms) that affect it. Existing solutions to this norm identification problem make use of observations of either norm compliant, or norm violating, behaviour. Thus, they assume an extreme situation where norms are typically violated,...