Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2019 | The Prevalence of Errors in Machine Learning Experiments | Shepperd, M; Guo, Y; Li, N; Arzoky, M; Capiluppi, A; Counsell, S; Destefanis, G; Swift, S; Tucker, A; Yousefi, L |
| 24-Jan-2019 | Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling | Yousefi, L; Swift, S; Arzoky, M; Saachi, L; Chiovato, L; Tucker, A |
| 19-Nov-2019 | Analysis of Friedreich's ataxia patient clinical data reveals importance of accurate GAA repeat determination in disease prognosis and gender differences in cardiac measures | Ghorbani, M; Pousset, F; Tucker, A; Swift, S; Giunti, P; Parkinson, M; Gilbert, D; Liu, XH; Payne, A |
| 6-Jun-2019 | Moving Object Detection using Adaptive Blind Update and RGB-D Camera | Dorudian, N; Lauria, S; Swift, S |