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2202.01906
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Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare
3 February 2022
Stephen R. Pfohl
Yizhe Xu
Agata Foryciarz
Nikolaos Ignatiadis
Julian Z. Genkins
N. Shah
Re-assign community
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Papers citing
"Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare"
4 / 4 papers shown
Title
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
56
0
0
13 Mar 2024
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
31
29
0
11 Jan 2024
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
669
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,082
0
24 Oct 2016
1