Carlo Abrate

According to our database, Carlo Abrate authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

How to Generalize the Detection of AI-Generated Text: Confounding Neurons.

Claudio Borile, Carlo Abrate

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

How Much Effort Is Enough? Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity.

Andrew Bell, João Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich

Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, 2025

2024

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

Andrew Bell, João Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich

CoRR, 2024

Human-in-the-Loop Personalized Counterfactual Recourse.

Carlo Abrate, Federico Siciliano, Francesco Bonchi, Fabrizio Silvestri

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Large scale analysis of gender bias and sexism in song lyrics.

Lorenzo Betti, Carlo Abrate, Andreas Kaltenbrunner

EPJ Data Sci., December, 2023

Counterfactual Explanations for Graph Classification Through the Lenses of Density.

Carlo Abrate, Giulia Preti, Francesco Bonchi

Proceedings of the Explainable Artificial Intelligence, 2023

Setting the Right Expectations: Algorithmic Recourse Over Time.

João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Relevance-based Infilling for Natural Language Counterfactuals.

Lorenzo Betti, Carlo Abrate, Francesco Bonchi, Andreas Kaltenbrunner

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company.

Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Counterfactual Graphs for Explainable Classification of Brain Networks.

Carlo Abrate, Francesco Bonchi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021