Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks

[PDF] arxiv.org

Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking

X Chen, Z Wu, X Shi, H Cho, B Mukherjee - arXiv preprint arXiv …, 2024 - arxiv.org
We conduct a scoping review of existing approaches for synthetic EHR data generation, and
benchmark major methods with proposed open-source software to offer recommendations …
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[PDF] arxiv.org

Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation

MF Sikder, D de Leng, F Heintz - arXiv preprint arXiv:2410.01423, 2024 - arxiv.org
This work presents Fair4Free, a novel generative model to generate synthetic fair data using
data-free distillation in the latent space. Fair4Free can work on the situation when the data is …
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[PDF] arxiv.org

FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability

MF Sikder, R Ramachandranpillai, D de Leng… - arXiv preprint arXiv …, 2024 - arxiv.org
We present FairX, an open-source Python-based benchmarking tool designed for the
comprehensive analysis of models under the umbrella of fairness, utility, and eXplainability …
被引用次数：2 相关文章