12 citations · 12 across the 3 of their papers we have counts for
3 papers
An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness
Ioannis Bilionis, Ricardo C. Berrios, Luis Fernandez-Luque +1
Artificial Intelligence (AI) and Machine Learning (ML) models used in clinical settings are increasingly deployed to support clinical decision-making. However, when training data b…
Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases
Ioannis Bilionis, Ricardo C. Berrios, Luis Fernandez-Luque +1
Machine Learning (ML) algorithms are vital for supporting clinical decision-making in biomedical informatics. However, their predictive performance can vary across demographic grou…
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach
Meike Zehlike, Carlos Castillo
Ranked search results have become the main mechanism by which we find content, products, places, and people online. Thus their ordering contributes not only to the satisfaction of…