| Fairness in agreement with european values: An interdisciplinary perspective on ai regulation A Bringas Colmenarejo, L Nannini, A Rieger, KM Scott, X Zhao, GK Patro, ... Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 107-118, 2022 | 14* | 2022 |
| Policy advice and best practices on bias and fairness in AI JM Alvarez, AB Colmenarejo, A Elobaid, S Fabbrizzi, M Fahimi, A Ferrara, ... Ethics and Information Technology 26 (2), 31, 2024 | 7 | 2024 |
| Counterfactual explanation for regression via disentanglement in latent space X Zhao, K Broelemann, G Kasneci 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 976-984, 2023 | 2 | 2023 |
| Studying bias in visual features through the lens of optimal transport S Fabbrizzi, X Zhao, E Krasanakis, S Papadopoulos, E Ntoutsi Data Mining and Knowledge Discovery 38 (1), 281-312, 2024 | 1 | 2024 |
| Causal Fairness-Guided Dataset Reweighting using Neural Networks X Zhao, K Broelemann, S Ruggieri, G Kasneci 2023 IEEE International Conference on Big Data (BigData), 1386-1394, 2023 | 1 | 2023 |
| Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule X Zhao, K Broelemann, S Ruggieri, G Kasneci arXiv preprint arXiv:2408.14126, 2024 | | 2024 |
| Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation X Zhao, S Fabbrizzi, PR Lobo, S Ghodsi, K Broelemann, S Staab, ... arXiv preprint arXiv:2311.12684, 2023 | | 2023 |
| Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space X Zhao, K Broelemann, G Kasneci arXiv preprint arXiv:2307.13390, 2023 | | 2023 |
| Correction to: Studying bias in visual features through the lens of optimal transport S Fabbrizzi, X Zhao, E Krasanakis, S Papadopoulos, E Ntoutsi Data Mining and Knowledge Discovery 38 (2024), Nr. 1 38 (1), 313-314, 2023 | | 2023 |
Gjergji KasneciProfessor at the Technical University of Munich在 tum.de 的电子邮件经过验证
