Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations

16 March 2021

Papers citing "Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations"

4 / 4 papers shown

Title
Evaluating Fair Feature Selection in Machine Learning for Healthcare Md. Rahat Shahriar Zawad Peter Washington FaML 16 0 0 28 Mar 2024
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 243 488 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 320 4,203 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016