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.
Browsing by Subject synthetic data generation
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 15-Jun-2026 | Assessing the impact of synthetic data generated by Bayesian networks on heart disease prediction | Lazzaro, I; Milano, M; Tucker, A; Cannataro, M |
| 26-Feb-2026 | Probabilistic vs Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data | Alattal, D; Draghi, B; Myles, P; Branson, R; Tucker, A |