Alessandro Castelnovo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Top Venues

Publications

Alessandro Castelnovo
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making. CoRR (2024)
Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
An Open-Source Toolkit to Generate Biased Datasets. EWAF (2023)
Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
Leveraging Group Contrastive Explanations for Handling Fairness. xAI (3) (2023)
Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli
Evaluative Item-Contrastive Explanations in Rankings. CoRR (2023)
Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. FAccT (2023)
Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco, Daniele Regoli
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms. CoRR (2023)
Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
Bias On Demand: Investigating Bias with a Synthetic Data Generator. IJCAI (2023)
Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica
Preserving Utility in Fair Top-k Ranking with Intersectional Bias. BIAS (2023)
Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Daniele Regoli
Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper). AIABI@AI*IA (2023)
Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. CoRR (2022)
Alessandro Castelnovo
Extending Decision Tree to Handle Multiple Fairness Criteria. IJCAI (2022)
Alessandro Castelnovo, Andrea Cosentini, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica
FFTree: A flexible tree to handle multiple fairness criteria. Inf. Process. Manag. 59 (6) (2022)
Riccardo Crupi, Beatriz San Miguel González, Alessandro Castelnovo, Daniele Regoli
Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users. ICAART (2) (2022)
Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. BEWARE@AI*IA (2022)
Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli
The zoo of Fairness metrics in Machine Learning. CoRR (2021)
Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González
BeFair: Addressing Fairness in the Banking Sector. CoRR (2021)
Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González
Counterfactual Explanations as Interventions in Latent Space. CoRR (2021)
Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Cosentini
Towards Fairness Through Time. PKDD/ECML Workshops (1) (2021)
Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González
BeFair: Addressing Fairness in the Banking Sector. IEEE BigData (2020)