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FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples

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Bibliographic Details
Main Authors:	Nagesh, Nitish, Shakibhamedan, Salar, Bagheri, Mahdi, Wang, Ziyu, TaheriNejad, Nima, Jantsch, Axel, Rahmani, Amir M.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
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