Fabbrizzi, Simone; Zhao, Xuan; Krasanakis, Emmanouil; Papadopoulos, Symeon; Ntoutsi, Eirini: Studying bias in visual features through the lens of optimal transport , Springer . In: Data Mining and Knowledge Discovery,  2023 . - S. 1-32 
Zeitschriftenartikel / Journal Article

Meißner, Andreas; Fröhlich, Andreas; Geierhos, Michaela: Keep It Simple: Evaluating Local Search-Based Latent Space Editing . In: SN Computer Science,  4.  2023 , 6 . - S. 820 
Zeitschriftenartikel / Journal Article

Kersting, Joschka; Maoro, Falk; Geierhos, Michaela: Towards comparable ratings: Exploring bias in German physician reviews . In: Data & Knowledge Engineering,  148.  2023 . - S. 102235 
Zeitschriftenartikel / Journal Article

Ghodsi, Siamak; Ntoutsi, Eirini: Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy . In: Proceedings of the 2nd European Workshop on Algorithmic Fairness,  2023 
Konferenzbeitrag / Conference Paper

Le Quy, Tai; Friege, Gunnar; Ntoutsi, Eirini: Multi-fair Capacitated Students-Topics Grouping Problem , Cham, Switzerland , Springer . In: Advances in Knowledge Discovery and Data Mining,  2023 . - S. 507-519 
Konferenzbeitrag / Conference Paper

Quy, Tai Le; Friege, Gunnar; Ntoutsi, Eirini: Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem , Cham , Springer

Le Quy, Tai; Roy, Arjun; Iosifidis, Vasileios; Zhang, Wenbin; Ntoutsi, Eirini: A survey on datasets for fairness-aware machine learning , Hoboken, USA , Wiley Periodicals . In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,  12.  2022 , 3 . - S. e1452 
Zeitschriftenartikel / Journal Article

Le Quy, Tai; Ntoutsi, Eirini: Towards fair, explainable and actionable clustering for learning analytics . In: EDM 2021,  2021 
Konferenzbeitrag / Conference Paper

Quy, Tai Le; Roy, Arjun; Friege, Gunnar; Ntoutsi, Eirini: Fair-capacitated clustering , International Educational Data Mining Society . In: Proceedings of the 14th International Conference on Educational Data Mining (EDM21),  2021 . - S. 407-414 
Konferenzbeitrag / Conference Paper

Roski, Marvin; Hoppe, Anett; Dannemann, Sarah; Dietze, Stefan; Ewerth, Ralph; Friege, Gunnar; Marenzi, Ivana; Ntoutsi, Eirini; Schanze, Sascha; Nehring, Andreas: Unterstützung von Lehr-Lern-Prozessen durch maschinelles Lernen-ein systematisches Review , Gesellschaft für Didaktik der Chemie und Physik, GDCP . In: Naturwissenschaftlicher Unterricht und Lehrerbildung im Umbruch?,  2021 . - S. 449-452 
Konferenzbeitrag / Conference Paper