"FAIM: Fairness-aware interpretable modeling for trustworthy machine ..."

Mingxuan Liu et al. (2024)

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DOI: 10.1016/J.PATTER.2024.101059

access: open

type: Journal Article

metadata version: 2025-03-03

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Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu:
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. Patterns 5(10): 101059 (2024)

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