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Jose M. Alvarez
Jose M. Alvarez
Postdoctoral Researcher, KU Leuven
Email verificata su kuleuven.be - Home page
Titolo
Citata da
Citata da
Anno
Predicting and explaining employee turnover intention
M Lazzari, JM Alvarez, S Ruggieri
International Journal of Data Science and Analytics 14 (3), 279-292, 2022
1992022
Policy advice and best practices on bias and fairness in AI
JM Alvarez, A Bringas-Colmenarejo, A Elobaid, S Fabbrizzi, M Fahimi, ...
Ethics and Information Technology 26 (2), 31, 2024
382024
Can we trust fair-AI?
S Ruggieri, JM Alvarez, A Pugnana, L State, F Turini
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15421 …, 2023
222023
Fairness implications of encoding protected categorical attributes
C Mougan, JM Álvarez, S Ruggieri, S Staab
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 454-465, 2023
202023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
JM Alvarez, S Ruggieri
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023
162023
Domain adaptive decision trees: Implications for accuracy and fairness
JM Alvarez, KM Scott, B Berendt, S Ruggieri
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
132023
The Initial Screening Order Problem
JM Alvarez, A Mastropietro, S Ruggieri
arXiv preprint arXiv:2307.15398, 2023
32023
A Causal Framework for Evaluating Deferring Systems
F Palomba, A Pugnana, JM Alvarez, S Ruggieri
arXiv preprint arXiv:2405.18902, 2024
22024
Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing
JM Alvarez, S Ruggieri
arXiv preprint arXiv:2405.13693, 2024
1*2024
Causal Perception
JM Alvarez, S Ruggieri
arXiv preprint arXiv:2401.13408, 2024
12024
Privilege Scores
L Bothmann, PA Boustani, JM Alvarez, G Casalicchio, B Bischl, S Dandl
arXiv preprint arXiv:2502.01211, 2025
2025
Counterfactual Situation Testing: From Single to Multidimensional Discrimination
JM Alvarez, S Ruggieri
arXiv preprint arXiv:2502.01267, 2025
2025
Causality for Fair Machine Learning: Selected Topics and Applications
JM Alvarez
Scuola Normale Superiore, 2024
2024
Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence: An Extended Abstract
JM Alvarez, A Bringas-Colmenarejo, A Elobaid, S Fabbrizzi, M Fahimi, ...
Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024
2024
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