Alessandro Fabris

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Software Systems

Ranking Algorithm

Vertical Search Engines

Top Venues

Inf. Process. Manag.

Publications

Luca Vittorio Piron, Matteo Cederle, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. CoRR (2024)
Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR (2024)
Jan Simson, Alessandro Fabris, Christoph Kern
Lazy Data Practices Harm Fairness Research. FAccT (2024)
Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
Fairness Evolution in Continual Learning for Medical Imaging. CoRR (2024)
Frederik J. Zuiderveen Borgesius, Nina Baranowska, Philipp Hacker, Alessandro Fabris
Non-discrimination law in Europe: a primer for non-lawyers. CoRR (2024)
Teresa Scantamburlo, Paolo Falcarin, Alberto Veneri, Alessandro Fabris, Chiara Gallese, Valentina Billa, Francesca Rotolo, Federico Marcuzzi
Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge. RAIE@ICSE (2024)
Jan Simson, Alessandro Fabris, Christoph Kern
Lazy Data Practices Harm Fairness Research. CoRR (2024)
Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega
Fairness and Bias in Algorithmic Hiring. CoRR (2023)
Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto
A Search Engine for Algorithmic Fairness Datasets. EWAF (2023)
Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
Dissatisfaction Induced by Pairwise Swaps. IIR (2023)
Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
Pairwise Fairness in Ranking as a Dissatisfaction Measure. WSDM (2023)
Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust. CoRR (2023)
Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. J. Artif. Intell. Res. 76 (2023)
Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
Algorithmic fairness datasets: the story so far. Data Min. Knowl. Discov. 36 (6) (2022)
Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. EAAMO (2022)
Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
Algorithmic Fairness Datasets: the Story so Far. CoRR (2022)
Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Measuring Fairness under Unawareness via Quantification. CoRR (2021)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES (2021)
Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. IIR (2021)
Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
Incentives for Item Duplication under Fair Ranking Policies. CoRR (2021)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR (2021)
Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
Incentives for Item Duplication Under Fair Ranking Policies. BIAS (2021)
Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. Inf. Process. Manag. 57 (6) (2020)
Davide Biasion, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
Gender Bias in Italian Word Embeddings. CLiC-it (2020)
Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. CoRR (2020)
Alessandro Fabris, Mihalis A. Nicolaou, Irene Kotsia, Stefanos Zafeiriou
Dynamic Probabilistic Linear Discriminant Analysis for video classification. ICASSP (2017)