23 citations · 56 across the 18 of their papers we have counts for
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cs.LG2022
Textual Explanations and Critiques in Recommendation Systems
Diego Antognini
Artificial intelligence and machine learning algorithms have become ubiquitous. Although they offer a wide range of benefits, their adoption in decision-critical fields is limited…
cs.LG2020★ 6 cited
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
Kirtan Padh, Diego Antognini, Emma Lejal Glaude +2
The goal of fairness in classification is to learn a classifier that does not discriminate against groups of individuals based on sensitive attributes, such as race and gender. One…