Alessandro Fabris

According to our database, Alessandro Fabris authored at least 33 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 2025

Quantifying Query Fairness Under Unawareness.

Thomas Jänich, Alejandro Moreo, Alessandro Fabris, Graham McDonald, Andrea Esuli, Iadh Ounis, Fabrizio Sebastiani

CoRR, June, 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., February, 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., February, 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, February, 2025

Developing a Fair Online Recruitment Framework Based on Job-seekers' Fairness Concerns.

Changyang He, Yue Deng, Alessandro Fabris, Bo Li, Asia Biega

CoRR, January, 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

The Venus score for the assessment of the quality and trustworthiness of biomedical datasets.

Davide Chicco, Alessandro Fabris, Giuseppe Jurman

BioData Min., 2025

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark.

Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Fairness Evolution in Continual Learning for Medical Imaging.

Marina Ceccon, Davide Dalle Pezze, Alessandro 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

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

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

Proceedings of the 2nd International Workshop on Responsible AI Engineering, 2024

Lazy Data Practices Harm Fairness Research.

Jan Simson, Alessandro Fabris, Christoph Kern

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets.

Jan Simson, Alessandro Fabris, Christoph Kern

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

2023

Learning to Quantify

Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani

The Information Retrieval Series 47, Springer, ISBN: 978-3-031-20466-1, 2023

Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach.

Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani

J. Artif. Intell. Res., 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

Pairwise Fairness in Ranking as a Dissatisfaction Measure.

Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Dissatisfaction Induced by Pairwise Swaps.

Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

A Search Engine for Algorithmic Fairness Datasets.

Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Algorithmic Fairness Datasets.

Alessandro Fabris, Stefano Messina, Alberto Piva, Gian Antonio Susto, Gianmaria Silvello

Dataset, December, 2022

Algorithmic Fairness Datasets.

Alessandro Fabris, Stefano Messina, Alberto Piva, Gian Antonio Susto, Gianmaria Silvello

Dataset, May, 2022

Algorithmic Fairness Datasets.

Alessandro Fabris, Stefano Messina, Alberto Piva, Gian Antonio Susto, Gianmaria Silvello

Dataset, May, 2022

Algorithmic fairness datasets: the story so far.

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto

Data Min. Knowl. Discov., 2022

Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets.

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

Measuring Fairness under Unawareness via Quantification.

Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani

CoRR, 2021

Measuring Gender Stereotype Reinforcement in Information Retrieval Systems.

Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Incentives for Item Duplication Under Fair Ranking Policies.

Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

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

Gender Bias in Italian Word Embeddings.

Davide Biasion, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto

Proceedings of the Seventh Italian Conference on Computational Linguistics, 2020

2017

Dynamic Probabilistic Linear Discriminant Analysis for video classification.

Alessandro Fabris, Mihalis A. Nicolaou, Irene Kotsia, Stefanos Zafeiriou

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017