| 2025 | Marco Rondina, Antonio Vetrò, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Marco Torchiano, Juan Carlos De Martin: Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs. In: ACM J. Data Inf. Qual., 2025, |
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| 2025 | Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega: Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey.. In: ACM Trans. Intell. Syst. Technol., 2025, |
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| 2025 | Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto: Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark.. Proceddings of the 2025 Winter Conference on Applications of Computer Vision. Computer Vision Foundation, 2025. |
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| 2025 | Davide Chicco, Alessandro Fabris, Giuseppe Jurman: The Venus score for the assessment of the quality and trustworthiness of biomedical datasets.. In: BioData Mining, 2025, |
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| 2025 | Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto: Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond.. In: Expert Systems with Applications, 2025, |
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| 2024 | Jan Simson and
Alessandro Fabris and
Christoph Kern: Lazy Data Practices Harm Fairness Research. The 2024 {ACM} Conference on Fairness, Accountability, and Transparency,
FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024. {ACM}, 2024. 642--659 |
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| 2024 | Teresa Scantamburlo and Paolo Falcarin and Alberto Veneri and Alessandro Fabris and Chiara Gallese and Valentina Billa and Francesca Rotolo and Federico Marcuzzi: Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge. Proceedings of the 2nd International Workshop on Responsible AI Engineering, {RAIE} 2024, Lisbon, Portugal, 16 April 2024. ACM, 2024. |
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