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Alessandro Castelnovo
Alessandro Castelnovo
PhD in Computer Science @ Università Milano Bicocca & Data Scientist at Intesa Sanpaolo
Verified email at campus.unimib.it
Title
Cited by
Cited by
Year
A clarification of the nuances in the fairness metrics landscape
A Castelnovo, R Crupi, G Greco, D Regoli, IG Penco, AC Cosentini
Scientific Reports 12 (1), 4209, 2022
1172022
The zoo of fairness metrics in machine learning
A Castelnovo, R Crupi, G Greco, D Regoli
arXiv preprint arXiv:2106.00467, 2021
322021
Befair: Addressing fairness in the banking sector
A Castelnovo, R Crupi, G Del Gamba, G Greco, A Naseer, D Regoli, ...
2020 IEEE International Conference on Big Data (Big Data), 3652-3661, 2020
212020
Towards fairness through time
A Castelnovo, L Malandri, F Mercorio, M Mezzanzanica, A Cosentini
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
182021
Counterfactual explanations as interventions in latent space
R Crupi, A Castelnovo, D Regoli, B San Miguel Gonzalez
Data Mining and Knowledge Discovery, 1-37, 2022
172022
Bias on demand: a modelling framework that generates synthetic data with bias
J Baumann, A Castelnovo, R Crupi, N Inverardi, D Regoli
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
15*2023
FFTree: A flexible tree to handle multiple fairness criteria
A Castelnovo, A Cosentini, L Malandri, F Mercorio, M Mezzanzanica
Information Processing & Management 59 (6), 103099, 2022
82022
Preserving Utility in Fair Top-k Ranking with Intersectional Bias
N Alimonda, A Castelnovo, R Crupi, F Mercorio, M Mezzanzanica
International Workshop on Algorithmic Bias in Search and Recommendation, 59-73, 2023
22023
Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users.
R Crupi, BSM González, A Castelnovo, D Regoli
ICAART (2), 24-32, 2022
22022
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making
A Castelnovo
arXiv preprint arXiv:2401.08691, 2024
12024
Bias on demand: investigating bias with a synthetic data generator
J Baumann, A Castelnovo, A Cosentini, R Crupi, N Inverardi, D Regoli
32nd International Joint Conference on Artificial Intelligence (IJCAI …, 2023
12023
Marrying LLMs with Domain Expert Validation for Causal Graph Generation
A Castelnovo, R Crupi, F Mercorio, M Mezzanzanica, D Potertì, D Regoli
2024
Evaluative Item-Contrastive Explanations in Rankings
A Castelnovo, R Crupi, N Mombelli, G Nanino, D Regoli
arXiv preprint arXiv:2312.10094, 2023
2023
Fair Enough? A map of the current limitations of the requirements to have" fair''algorithms
A Castelnovo, N Inverardi, G Nanino, IG Penco, D Regoli
arXiv preprint arXiv:2311.12435, 2023
2023
Leveraging Group Contrastive Explanations for Handling Fairness
A Castelnovo, N Inverardi, L Malandri, F Mercorio, M Mezzanzanica, ...
World Conference on Explainable Artificial Intelligence, 332-345, 2023
2023
An Open-Source Toolkit to Generate Biased Datasets
J Baumann, A Castelnovo, R Crupi, N Inverardi, D Regoli
2023
Extending Decision Tree to Handle Multiple Fairness Criteria
A Castelnovo
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
2022
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