Dynamic Probabilistic Linear Discriminant Analysis for video classification. - Alessandro Fabris; Mihalis A. Nicolaou; Irene Kotsia; Stefanos Zafeiriou (ICASSP, 2017)

Gender Bias in Italian Word Embeddings. - Davide Biasion; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto (CLiC-it, 2020)

Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. - Alessandro Fabris; Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (Inf. Process. Manag., 2020)

Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. - Alessandro Fabris; Alan Mishler; Stefano Gottardi; Mattia Carletti; Matteo Daicampi; Gian Antonio Susto; Gianmaria Silvello (AIES, 2021)

Incentives for Item Duplication Under Fair Ranking Policies. - Giorgio Maria Di Nunzio; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto (BIAS, 2021)

Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. - Alessandro Fabris; Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (IIR, 2021)

Measuring Fairness under Unawareness via Quantification. - Alessandro Fabris; Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2021)

Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Gianmaria Silvello; Gian Antonio Susto (EAAMO, 2022)

Algorithmic fairness datasets: the story so far. - Alessandro Fabris; Stefano Messina; Gianmaria Silvello; Gian Antonio Susto (Data Min. Knowl. Discov., 2022)

Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Alberto Piva; Gian Antonio Susto; Gianmaria Silvello (Zenodo, 2022)

Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Alberto Piva; Gian Antonio Susto; Gianmaria Silvello (Zenodo, 2022)

Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Alberto Piva; Gian Antonio Susto; Gianmaria Silvello (Zenodo, 2022)

A Search Engine for Algorithmic Fairness Datasets. - Alessandro Fabris; Fabio Giachelle; Alberto Piva; Gianmaria Silvello; Gian Antonio Susto (EWAF, 2023)

Dissatisfaction Induced by Pairwise Swaps. - Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Asia J. Biega (IIR, 2023)

Pairwise Fairness in Ranking as a Dissatisfaction Measure. - Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Asia J. Biega (WSDM, 2023)

Fairness and Bias in Algorithmic Hiring. - Alessandro Fabris; Nina Baranowska; Matthew J. Dennis; Philipp Hacker; Jorge Saldivar; Frederik J. Zuiderveen Borgesius; Asia J. Biega (CoRR, 2023)

Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. - Alessandro Fabris; Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (J. Artif. Intell. Res., 2023)

Learning to Quantify - Andrea Esuli; Alessandro Fabris; Alejandro Moreo; Fabrizio Sebastiani 001 (Springer, 2023)

Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets. - Jan Simson; Alessandro Fabris; Christoph Kern 001 (EWAF, 2024)

Lazy Data Practices Harm Fairness Research. - Jan Simson; Alessandro Fabris; Christoph Kern 001 (FAccT, 2024)

Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge. - Teresa Scantamburlo; Paolo Falcarin; Alberto Veneri; Alessandro Fabris; Chiara Gallese; Valentina Billa; Francesca Rotolo; Federico Marcuzzi (RAIE@ICSE, 2024)

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. - Luca Vittorio Piron; Matteo Cederle; Marina Ceccon; Federico Chiariotti; Alessandro Fabris; Marco Fabris; Gian Antonio Susto (CoRR, 2024)

Non-discrimination law in Europe: a primer for non-lawyers. - Frederik J. Zuiderveen Borgesius; Nina Baranowska; Philipp Hacker; Alessandro Fabris (CoRR, 2024)

Fairness Evolution in Continual Learning for Medical Imaging. - Marina Ceccon; Davide Dalle Pezze; Alessandro Fabris; Gian Antonio Susto (CoRR, 2024)

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. - Marina Ceccon; Davide Dalle Pezze; Alessandro Fabris; Gian Antonio Susto (WACV, 2025)

The Venus score for the assessment of the quality and trustworthiness of biomedical datasets. - Davide Chicco; Alessandro Fabris; Giuseppe Jurman (BioData Min., 2025)

Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond. - Marina Ceccon; Giandomenico Cornacchia; Davide Dalle Pezze; Alessandro Fabris; Gian Antonio Susto (Expert Syst. Appl., 2025)

Developing a Fair Online Recruitment Framework Based on Job-seekers' Fairness Concerns. - Changyang He; Yue Deng 003; Alessandro Fabris; Bo Li 001; Asia Biega (CoRR, 2025)

Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain. - Marco Rondina; Antonio Vetrò; Riccardo Coppola; Oumaima Regragrui; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Juan Carlos De Martin (CoRR, 2025)

Artificial Intelligence Across Europe: A Study on Awareness, Attitude and Trust. - Teresa Scantamburlo; Atia Cortés; Francesca Foffano; Cristian Barrué; Veronica Distefano; Long Pham; Alessandro Fabris (IEEE Trans. Artif. Intell., 2025)

Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey. - Alessandro Fabris; Nina Baranowska; Matthew J. Dennis; David Graus; Philipp Hacker; Jorge Saldivar; Frederik J. Zuiderveen Borgesius; Asia J. Biega (ACM Trans. Intell. Syst. Technol., 2025)

Quantifying Query Fairness Under Unawareness. - Thomas Jänich; Alejandro Moreo; Alessandro Fabris; Graham McDonald; Andrea Esuli; Iadh Ounis; Fabrizio Sebastiani 001 (CoRR, 2025)

Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs. - Marco Rondina; Antonio Vetrò; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Marco Torchiano; Juan Carlos De Martin (ACM J. Data Inf. Qual., 2025)