22 citations · 71 across the 13 of their papers we have counts for
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cs.LG2023★ 7 cited
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness
Jose M. Alvarez, Kristen M. Scott, Salvatore Ruggieri +1
In uses of pre-trained machine learning models, it is a known issue that the target population in which the model is being deployed may not have been reflected in the source popula…
cs.LG2020★ 10 cited
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Pieter Delobelle, Paul Temple, Gilles Perrouin +3
Machine learning is being integrated into a growing number of critical systems with far-reaching impacts on society. Unexpected behaviour and unfair decision processes are coming u…