Bias Quantification for Protected Features in Pattern Classification Problems. - Lisa Koutsoviti Koumeri; Gonzalo Nápoles (CIARP, 2021)

Modeling implicit bias with fuzzy cognitive maps. - Gonzalo Nápoles; Isel Grau; Leonardo Concepción; Lisa Koutsoviti Koumeri; João Paulo Papa (Neurocomputing, 2022)

A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets. - Gonzalo Nápoles; Lisa Koutsoviti Koumeri (Pattern Recognit. Lett., 2022)

Métriques d'équité en Apprentissage Automatique et droit de l'Union Europénne en matière de non-discrimination. - Magali Legast; Yasaman Yousefi; Lisa Koutsoviti Koumeri; Axel Legay; Christoph Schommer; Koen Vanhoof (CNIA, 2023)

Compatibility of Fairness Metrics With EU Non-Discrimination Law: A Legal and Technical Case Study. - Yasaman Yousefi; Lisa Koutsoviti Koumeri; Magali Legast; Christoph Schommer; Koen Vanhoof; Axel Legay (EWAF, 2023)

Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. - Isel Grau; Gonzalo Nápoles; Fabian Hoitsma; Lisa Koutsoviti Koumeri; Koen Vanhoof (IntelliSys (1), 2023)

Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity. - Lisa Koutsoviti Koumeri; Magali Legast; Yasaman Yousefi; Koen Vanhoof; Axel Legay; Christoph Schommer (CoRR, 2023)

Are You up for DigiTech? The Role of Internal and External Drivers in the Adoption of Digital Technology in Education. - Adriaan Vervoort; Lisa Koutsoviti Koumeri; Nuria Conzález Castellano; Katrien Struyven (EC-TEL (2), 2024)

Exploration of Potential New Benchmark for Fairness Evaluation in Europe. - Magali Legast; Lisa Koutsoviti Koumeri; Yasaman Yousefi; Axel Legay (EWAF, 2024)