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Fair classification via domain adaptation: A dual adversarial learning approach

Modern machine learning (ML) models are becoming increasingly popular and are widely used in decision-making systems. However, studies have shown critical issues of ML discrimination and unfairness, which hinder their adoption on high-stake applications. Recent research on fair classifiers has drawn...

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Detalles Bibliográficos
Autores principales: Liang, Yueqing, Chen, Canyu, Tian, Tian, Shu, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848304/
https://www.ncbi.nlm.nih.gov/pubmed/36687771
http://dx.doi.org/10.3389/fdata.2022.1049565

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