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2020 – today
- 2024
[j4]Simone Fabbrizzi
, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi:
Studying bias in visual features through the lens of optimal transport. Data Min. Knowl. Discov. 38(1): 281-312 (2024)- [j3]Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi:
Correction to: Studying bias in visual features through the lens of optimal transport. Data Min. Knowl. Discov. 38(1): 313-314 (2024) - [j2]José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri:
Policy advice and best practices on bias and fairness in AI. Ethics Inf. Technol. 26(2): 31 (2024) - 2023
- [i2]Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci:
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. CoRR abs/2311.12684 (2023) - 2022
- [j1]Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris:
A survey on bias in visual datasets. Comput. Vis. Image Underst. 223: 103552 (2022) - 2021
- [i1]Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris:
A Survey on Bias in Visual Datasets. CoRR abs/2107.07919 (2021)
Coauthor Index
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