Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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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.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/32454| Title: | Probabilistic vs Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data |
| Authors: | Alattal, D Draghi, B Myles, P Branson, R Tucker, A |
| Keywords: | synthetic data generation;tabular data;fairness in machine learning;healthcare data;generative models;data fidelity;bias mitigation;Bayes boost;GAN;VAE |
| Issue Date: | 2025 |
| Publisher: | Springer Nature |
| Citation: | Alattal, D. et al. (2025) 'Probabilistic vs Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data', International Journal of Computational Intelligence Systems, 0 (in submission) |
| Abstract: | ... |
| Description: | ... |
| URI: | https://bura.brunel.ac.uk/handle/2438/32454 |
| ISSN: | 1875-6891 |
| Other Identifiers: | ORCiD: Allan Tucker https://orcid.org/0000-0001-5105-3506 |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until publication | 679.69 kB | Adobe PDF | View/Open |
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