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Alessandro Fabris
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2020 – today
- 2024
- [c11]Jan Simson
, Alessandro Fabris
Lazy Data Practices Harm Fairness Research. FAccT 2024: 642-659 - [c10]Teresa Scantamburlo
Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge. RAIE@ICSE 2024: 44-51 - [i12]Luca Vittorio Piron, Matteo Cederle, Marina Ceccon, Federico Chiariotti, Alessandro Fabris
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. CoRR abs/2403.15780 (2024) - [i11]Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR abs/2404.06859 (2024) - [i10]Frederik J. Zuiderveen Borgesius, Nina Baranowska, Philipp Hacker, Alessandro Fabris
Non-discrimination law in Europe: a primer for non-lawyers. CoRR abs/2404.08519 (2024) - [i9]Jan Simson, Alessandro Fabris
Lazy Data Practices Harm Fairness Research. CoRR abs/2404.17293 (2024) - [i8]Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris
Fairness Evolution in Continual Learning for Medical Imaging. CoRR abs/2406.02480 (2024) - 2023
- [b1]Andrea Esuli
Learning to Quantify. The Information Retrieval Series 47, Springer 2023, ISBN 978-3-031-20466-1, pp. 1-123 - [j3]Alessandro Fabris
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. J. Artif. Intell. Res. 76: 1117-1180 (2023) - [c9]Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto:
A Search Engine for Algorithmic Fairness Datasets. EWAF 2023 - [c8]Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega:
Dissatisfaction Induced by Pairwise Swaps. IIR 2023: 66-71 - [c7]Alessandro Fabris
Pairwise Fairness in Ranking as a Dissatisfaction Measure. WSDM 2023: 931-939 - [e1]José M. Álvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike:
Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023. CEUR Workshop Proceedings 3442, CEUR-WS.org 2023 [contents] - [i7]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 abs/2308.09979 (2023) - [i6]Alessandro Fabris
Fairness and Bias in Algorithmic Hiring. CoRR abs/2309.13933 (2023) - 2022
- [j2]Alessandro Fabris
Algorithmic fairness datasets: the story so far. Data Min. Knowl. Discov. 36(6): 2074-2152 (2022) - [c6]Alessandro Fabris
Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. EAAMO 2022: 2:1-2:13 - [d3]Alessandro Fabris
Algorithmic Fairness Datasets. Version 1. Zenodo, 2022 [all versions] - [d2]Alessandro Fabris
Algorithmic Fairness Datasets. Version 1. Zenodo, 2022 [all versions] - [d1]Alessandro Fabris
Algorithmic Fairness Datasets. Version 2. Zenodo, 2022 [all versions] - [i5]Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto:
Algorithmic Fairness Datasets: the Story so Far. CoRR abs/2202.01711 (2022) - 2021
- [c5]Alessandro Fabris
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES 2021: 458-468 - [c4]Giorgio Maria Di Nunzio, Alessandro Fabris
Incentives for Item Duplication Under Fair Ranking Policies. BIAS 2021: 64-77 - [c3]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. IIR 2021 - [i4]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 abs/2105.10174 (2021) - [i3]Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness under Unawareness via Quantification. CoRR abs/2109.08549 (2021) - [i2]Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto:
Incentives for Item Duplication under Fair Ranking Policies. CoRR abs/2110.15683 (2021) - 2020
- [j1]Alessandro Fabris
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. Inf. Process. Manag. 57(6): 102377 (2020) - [c2]Davide Biasion, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto:
Gender Bias in Italian Word Embeddings. CLiC-it 2020 - [i1]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. CoRR abs/2009.01334 (2020)
2010 – 2019
- 2017
- [c1]Alessandro Fabris, Mihalis A. Nicolaou, Irene Kotsia, Stefanos Zafeiriou:
Dynamic Probabilistic Linear Discriminant Analysis for video classification. ICASSP 2017: 2781-2785
Coauthor Index
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