Alessandro Fabris

46 papers A 2C 2Misc 1Journal 28Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Does fair ranking lead to fair recruitment outcomes? A study of interventions, interfaces, and interactions. Inf. Process. Manag. Alessandro Fabris, Clara Rus, Jorge Saldivar, Anna Gatzioura, Asia J. Biega, Carlos Castillo
2026	J	`jnl`	Quantifying Query Fairness Under Unawareness. J. Artif. Intell. Res. Thomas Jänich, Alejandro Moreo, Alessandro Fabris, Graham McDonald, Andrea Esuli, Iadh Ounis, Fabrizio Sebastiani
2025	C	`conf`	A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. ACC Matteo Cederle, Luca Vittorio Piron, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto
2025	J	`jnl`	Artificial Intelligence Across Europe: A Study on Awareness, Attitude and Trust. IEEE Trans. Artif. Intell. Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris
2025	J	`jnl`	Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness. CoRR Jan Simson, Alessandro Fabris, Cosima Fröhner, Frauke Kreuter, Christoph Kern
2025	J	`jnl`	Developing a Fair Online Recruitment Framework Based on Job-seekers' Fairness Concerns. CoRR Changyang He, Yue Deng, Alessandro Fabris, Bo Li, Asia Biega
2025	J	`jnl`	Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs. ACM J. Data Inf. Qual. Marco Rondina, Antonio Vetrò, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Marco Torchiano, Juan Carlos De Martin
2025	J	`jnl`	Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey. ACM Trans. Intell. Syst. Technol. Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega
2025	—	`conf`	Is Underrepresentation overemphasized? A study of data bias and algorithmic fairness. Ital-IA Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2025	A	`conf`	Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. WACV Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2025	J	`jnl`	Quantifying Query Fairness Under Unawareness. CoRR Thomas Jänich, Alejandro Moreo, Alessandro Fabris, Graham McDonald, Andrea Esuli, Iadh Ounis, Fabrizio Sebastiani
2025	J	`jnl`	Reinforcement Learning for Durable Algorithmic Recourse. CoRR Marina Ceccon, Alessandro Fabris, Goran Radanovic, Asia J. Biega, Gian Antonio Susto
2025	J	`jnl`	Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain. CoRR Marco Rondina, Antonio Vetrò, Riccardo Coppola, Oumaima Regragrui, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Juan Carlos De Martin
2025	J	`jnl`	The Venus score for the assessment of the quality and trustworthiness of biomedical datasets. BioData Min. Davide Chicco, Alessandro Fabris, Giuseppe Jurman
2025	J	`jnl`	Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond. CoRR Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2025	J	`jnl`	Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond. Expert Syst. Appl. Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	J	`jnl`	A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. CoRR Luca Vittorio Piron, Matteo Cederle, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto
2024	J	`jnl`	Fairness Evolution in Continual Learning for Medical Imaging. CoRR Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	—	`conf`	Lazy Data Practices Harm Fairness Research. FAccT Jan Simson, Alessandro Fabris, Christoph Kern
2024	J	`jnl`	Lazy Data Practices Harm Fairness Research. CoRR Jan Simson, Alessandro Fabris, Christoph Kern
2024	J	`jnl`	Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	J	`jnl`	Non-discrimination law in Europe: a primer for non-lawyers. CoRR Frederik J. Zuiderveen Borgesius, Nina Baranowska, Philipp Hacker, Alessandro Fabris
2024	—	`conf`	Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge. RAIE@ICSE Teresa Scantamburlo, Paolo Falcarin, Alberto Veneri, Alessandro Fabris, Chiara Gallese, Valentina Billa, Francesca Rotolo, Federico Marcuzzi
2024	—	`conf`	Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets. EWAF Jan Simson, Alessandro Fabris, Christoph Kern
2023	—	`conf`	A Search Engine for Algorithmic Fairness Datasets. EWAF Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto
2023	—	`—`	Algorithmic Fairness Datasets: Curation, Selection, and Applications. Alessandro Fabris
2023	J	`jnl`	Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust. CoRR Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris
2023	—	`conf`	Dissatisfaction Induced by Pairwise Swaps. IIR Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
2023	J	`jnl`	Fairness and Bias in Algorithmic Hiring. CoRR Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega
2023	—	`book`	Learning to Quantify Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani
2023	J	`jnl`	Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. J. Artif. Intell. Res. Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
2023	A	`conf`	Pairwise Fairness in Ranking as a Dissatisfaction Measure. WSDM Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
2023	—	`ed.`	Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023. EWAF José M. Álvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike
2022	J	`jnl`	Algorithmic Fairness Datasets: the Story so Far. CoRR Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022	J	`jnl`	Algorithmic fairness datasets: the story so far. Data Min. Knowl. Discov. Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022	—	`conf`	Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. EAAMO Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2021	C	`conf`	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
2021	J	`jnl`	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
2021	—	`conf`	Incentives for Item Duplication Under Fair Ranking Policies. BIAS Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
2021	J	`jnl`	Incentives for Item Duplication under Fair Ranking Policies. CoRR Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
2021	J	`jnl`	Measuring Fairness under Unawareness via Quantification. CoRR Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
2021	—	`conf`	Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. IIR Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2020	—	`conf`	Gender Bias in Italian Word Embeddings. CLiC-it Davide Biasion, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
2020	J	`jnl`	Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. CoRR Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2020	J	`jnl`	Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. Inf. Process. Manag. Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2017	Misc	`conf`	Dynamic Probabilistic Linear Discriminant Analysis for video classification. ICASSP Alessandro Fabris, Mihalis A. Nicolaou, Irene Kotsia, Stefanos Zafeiriou