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) |
|---|---|---|
| 2-Apr-2020 | Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics | Ghoshal, B; Lindskog, C; Tucker, A |
| 22-May-2021 | Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development | Ghoshal, B; Ghoshal, B; Swift, S; Tucker, A |
| 27-Mar-2020 | Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection | Ghoshal, B; Tucker, A |
| 7-Jun-2021 | Evaluating a longitudinal synthetic data generator using real world data | Wang, Z; Myles, P; Jain, A; Keidel, JL; Liddi, R; Mackillop, L; Velardo, C; Tucker, A |
| 2-Feb-2021 | Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks | de Benedetti, J; Oues, N; Wang, Z; Myles, P; Tucker, A |
| 1-Sep-2021 | Bayesboost: Identifying and Handling Bias Using Synthetic Data Generators | Draghi, B; Wang, Z; Myles, P; Tucker, A |
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