Computer Science Research
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.
For more information please visit the School of Computer science home page.
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(2017-12) - Journal articleLearning robust keypoint descriptors has become an active research area in the past decade. Matching local features is not only important for computational applications, but may also play an important role in early biological ...
(IOS Press, 2018-09-11) - Conference itemThis paper briefly describes AIF-EL, an OWL2-EL compliant ontology for the Argument Interchange Format.
(IOS Press, 2018-09-11) - Conference itemWe introduce CISpaces.org, a tool to support situational understanding in intelligence analysis that complements but not replaces human expertise. The system combines natural language processing, argumentation-based ...
(Springer, 2018) - Conference itemMetric search techniques can be usefully characterised by the time at which distance calculations are performed during a query. Most exact search mechanisms use a “just-in-time” approach where distances are calculated as ...
(2018-10-03) - Conference posterEducating children, particularly girls, in Science, Technology, Engineering, and Mathematics (STEM) and ethics is necessary for an inclusive, diverse data-driven society. This poster illustrates the positive impact of ...