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 |
| 17-Apr-2020 | Using the Lexicon from Source Code to Determine Application Domains | Capiluppi, A; Ajienka, N; Ali, N; Arzoky, M; Counsell, S; Destefanis, G; Miron, A; Nagaria, B; Neykova, R; Shepperd, M; Swift, S; Tucker, A |
| 9-Nov-2018 | An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem | Ayed, S; Arzoky, M; Swift, S; Counsell, S; Tucker, A |
| 29-Mar-2020 | Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules | Yousefi, L; Swift, S; Arzoky, M; Saachi, L; Chiovato, L; Tucker, A |