School of Electronic Engineering and Computer Science Research Reports: 2008 -
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Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods.
(2022-12)BACKGROUND: Despite the tremendous prog- ress recently made towards automatic sleep staging in adults, it is currently unknown if the most advanced algorithms generalize to the pediatric population, which displays distinctive ... -
How Covid-19 Changed Computer Science Education
(Oxford University Press (OUP), 2022-05-13)The global pandemic has forced lecturers and academics to transform how computer science is taught. Discover how innovative technology and techniques are being used during lectures that can now reach an international audience. -
Improving entity disambiguation with a vector space semantic tagger
(2018-11-14)This note describes a few suggestions for improving entity disambiguation using a vector-based semantic tagger, trained using the Skipgram model. The suggestions include assuming non uniform distributions for the probability ... -
The Conservative Party Leadership Election of 2016: An Analysis of the Voting Motivations of Conservative Parliamentarians
(Oxford University Press (OUP), 2017-08-28)This article provides the first systematic examination of the voting motivations of Conservative MPs in the final parliamentary ballot of the Conservative Party leadership election of 2016. We identify the voting behaviour ... -
Many Valued Generalised Quantifiers for Natural Language in the DisCoCat Model
(2016-11-11)DisCoCat refers to the Categorical compositional distributional model of natural language, which combines the statistical vector space models of words with the compositional logic-based models of grammar. It is fair ... -
Evaluation of musical creativity and musical metacreation systems
(2016-08-11)The field of computational creativity, including musical metacreation, strives to develop artificial systems that are capable of demonstrating creative behavior or producing creative artefacts. But the claim of creativity ... -
MorpheuS: Automatic music generation with recurrent pattern constraints and tension profiles
(2016-07-21)Generating music with long-term structure is one of the main challenges in the field of automatic composition. This article describes MorpheuS, a music generation system. MorpheuS uses state-of-the-art pattern detection ... -
Detection and Classification of Acoustic Scenes and Events
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Collaborative Cross-modal Interfaces
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Recognising Cello Performers using Timbre Models
(2013-12-30) -
DyLan : Parser for Dynamic Syntax
(2013-12-30)