Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. - Alejandra Bringas Colmenarejo; Luca Nannini; Alisa Rieger; Kristen M. Scott; Xuan Zhao 025; Gourab K. Patro; Gjergji Kasneci; Katharina Kinder-Kurlanda (AIES, 2022)

Causal Fairness-Guided Dataset Reweighting using Neural Networks. - Xuan Zhao 025; Klaus Broelemann; Salvatore Ruggieri; Gjergji Kasneci (IEEE Big Data, 2023)

Counterfactual Explanation for Regression via Disentanglement in Latent Space. - Xuan Zhao 025; Klaus Broelemann; Gjergji Kasneci (ICDM (Workshops), 2023)

Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space. - Xuan Zhao 025; Klaus Broelemann; Gjergji Kasneci (CoRR, 2023)

Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. - Xuan Zhao 025; Simone Fabbrizzi; Paula Reyero Lobo; Siamak Ghodsi; Klaus Broelemann; Steffen Staab; Gjergji Kasneci (CoRR, 2023)

Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity. - Xuan Zhao 025; Simone Fabbrizzi; Paula Reyero Lobo; Siamak Ghodsi; Klaus Broelemann; Steffen Staab; Gjergji Kasneci (IEEE Big Data, 2024)

Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. - Xuan Zhao 025; Klaus Broelemann; Salvatore Ruggieri; Gjergji Kasneci (ECAI, 2024)

Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence. - José M. Álvarez 002; Alejandra Bringas Colmenarejo; Alaa Elobaid; Simone Fabbrizzi; Miriam Fahimi; Antonio Ferrara 003; Siamak Ghodsi; Carlos Mougan; Ioanna Papageorgiou; Paula Reyero Lobo; Mayra Russo; Kristen M. Scott; et al. (EWAF, 2024)

Studying bias in visual features through the lens of optimal transport. - Simone Fabbrizzi; Xuan Zhao 025; Emmanouil Krasanakis; Symeon Papadopoulos; Eirini Ntoutsi (Data Min. Knowl. Discov., 2024)

Correction to: Studying bias in visual features through the lens of optimal transport. - Simone Fabbrizzi; Xuan Zhao 025; Emmanouil Krasanakis; Symeon Papadopoulos; Eirini Ntoutsi (Data Min. Knowl. Discov., 2024)

Policy advice and best practices on bias and fairness in AI. - José M. Álvarez 002; Alejandra Bringas Colmenarejo; Alaa Elobaid; Simone Fabbrizzi; Miriam Fahimi; Antonio Ferrara 003; Siamak Ghodsi; Carlos Mougan; Ioanna Papageorgiou; Paula Reyero Lobo; Mayra Russo; Kristen M. Scott; et al. (Ethics Inf. Technol., 2024)