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"Net benefit, calibration, threshold selection, and training objectives for ..."

Stephen Pfohl et al. (2022)

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DOI: 10.1145/3531146.3533166

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

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  dblp key:
  - conf/fat/PfohlXFIGS22
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  - https://dblp.org/rec/conf/fat/PfohlXFIGS22
Stephen Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam Shah:
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare. FAccT 2022: 1039-1052

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