Universität der Bundeswehr München: AtheneForschung
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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
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