Learning a Fair Distance Function for Situation Testing. - Daphne Lenders; Toon Calders (PKDD/ECML Workshops (1), 2021)

Functional Requirements for Interactive Bias-Audit Tools. - Daphne Lenders; Toon Calders (HHAI, 2023)

Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML. - Daphne Lenders; Toon Calders (SAC, 2023)

A Fair Selective Classifier to Put Humans in the Loop. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Fosca Giannotti; Dino Pedreschi (EWAF, 2024)

Interpretable and Fair Mechanisms for Abstaining Classifiers. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Dino Pedreschi; Fosca Giannotti (ECML/PKDD (7), 2024)

15 Years of Algorithmic Fairness - Scoping Review of Interdisciplinary Developments in the Field. - Daphne Lenders; Anne Oloo (CoRR, 2024)

Algorithmic Fairness over the Years - A Scoping Review of Research in Computer Science and Law. - Anne Oloo; Daphne Lenders (EWAF, 2025)

Users' needs in interactive bias auditing tools introducing a requirement checklist and evaluating existing tools. - Daphne Lenders; Toon Calders (AI Ethics, 2025)