All of our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. Our research focuses on core themes of theoretical and practical computer science: artificial intelligence and symbolic computation, networked and distributed systems, systems engineering, and human computer interaction.

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Recent Submissions

  • Information and knowing when to forget it 

    Sharma, Rohit; Arandelovic, Ognjen (IEEE, 2017-05-14) - Conference item
    In this paper we propose several novel approaches for incorporating forgetting mechanisms into sequential prediction based machine learning algorithms. The broad premise of our work, supported and motivated in part by ...
  • Glycaemic index prediction : a pilot study of data linkage challenges and the application of machine learning 

    Li, Jingyuan; Arandelovic, Ognjen (IEEE, 2017-02-18) - Conference item
    The glycaemic index (GI) is widely used to characterize the effect that a food has on blood glucose which is of major importance to diabetic individuals as well as the general population at large. At present, its applicability ...
  • Reading small scalar data fields: color scales vs. Detail on Demand vs. FatFonts 

    Manteau, Constant; Nacenta, Miguel; Mauderer, Michael (Canadian Human-Computer Communications Society, 2017-05-16) - Conference item
    We empirically investigate the advantages and disadvantages of color- and digit-based methods to represent small scalar fields. We compare two types of color scales (one brightness-based and one that varies in hue, saturation ...
  • Virtual Reality for early education : a study 

    Fabola, Adeola; Miller, Alan (Springer, 2016) - Conference item
    This paper investigates the use of Virtual Reality (VR) as a tool for cultural heritage learning, using St Andrews Cathedral as the subject matter. As part of a module focused on local history, first year secondary school ...
  • A derivational model of discontinuous parsing 

    Nederhof, Mark Jan; Yli-Jyra, Anssi (Springer, 2017) - Conference item
    The notion of latent-variable probabilistic context-free derivation of syntactic structures is enhanced to allow heads and unrestricted discontinuities. The chosen formalization covers both constituent parsing and dependency ...

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