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20212024
most citedLarge scale analysis of gender bias and sexism in song lyrics

25 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 2 cited

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

Andrew Bell, Joao Fonseca, Carlo Abrate +2

Algorithmic recourse -- providing recommendations to those affected negatively by the outcome of an algorithmic system on how they can take action and change that outcome -- has ga…

cs.LG2023★ 11 cited

Setting the Right Expectations: Algorithmic Recourse Over Time

Joao Fonseca, Andrew Bell, Carlo Abrate +2

Algorithmic systems are often called upon to assist in high-stakes decision making. In light of this, algorithmic recourse, the principle wherein individuals should be able to take…

cs.LG2023

Counterfactual Explanations for Graph Classification Through the Lenses of Density

Carlo Abrate, Giulia Preti, Francesco Bonchi

Counterfactual examples have emerged as an effective approach to produce simple and understandable post-hoc explanations. In the context of graph classification, previous work has…

cs.CY2022★ 25 cited

Large scale analysis of gender bias and sexism in song lyrics

Lorenzo Betti, Carlo Abrate, Andreas Kaltenbrunner

We employ Natural Language Processing techniques to analyse 377808 English song lyrics from the "Two Million Song Database" corpus, focusing on the expression of sexism across five…

cs.SI2021

Counterfactual Graphs for Explainable Classification of Brain Networks

Carlo Abrate, Francesco Bonchi

Training graph classifiers able to distinguish between healthy brains and dysfunctional ones, can help identifying substructures associated to specific cognitive phenotypes. Howeve…