LSM
Place des Doyens 1/L2.01.01
1348 Louvain-la-Neuve
Assistante
LSM
Place des Doyens 1/L2.01.01
1348 Louvain-la-Neuve
Flore Vancompernolle Vromman is a teaching assistant for the following courses:
Flore Vancompernolle Vromman is studying trustworthy AI, which focuses on ensuring the ethical and reliable deployment of artificial intelligence systems among users, stakeholders, and society. Her research is based on three core pillars within this field: Diversity, Fairness, and Transparency. Diversity involves preventing users from being confined within filter bubbles created by recommender systems. Fairness consists of identifying and reducing discriminations (based on gender, ethnicity, or other sensitive variables) in the output of classification models. Finally, transparency is essential for making algorithms understandable and interpretable for users, enabling trust in their outputs.
Vancompernolle Vromman, Flore ; Courtain, Sylvain ; Leleux, Pierre ; de Schaetzen, Constantin ; Beghein, Eve ; Kneip, Alexia ; Saerens, Marco. Maximum Entropy Logistic Regression for Demographic Parity in Supervised Classification. 35th Benelux Conference, BNAIC/Benelearn 2023 (Delft (The Netherlands), du 08/11/2023 au 10/11/2023). In: Communications in Computer and Information Science, Vol. 2187, no.1, p. 189-208 (2025). doi:10.1007/978-3-031-74650-5_11.
Vancompernolle Vromman, Flore ; Fouss, François. Filter-bubble created by collaborative filtering algorithms themselves, fact or fiction? An experimental comparison. Proceedings of the Data Analytics on Social Media Workshop of the 2021 IEEE/WIC/ACM International Conference on Web Intelligence. In: Proceedings of the Data Analytics on Social Media Workshop of the 2021 IEEE/WIC/ACM International Conference on Web Intelligence, (2021). doi:10.1145/3498851.3498945.
Vancompernolle Vromman, Flore ; Vande Kerckhove, Corentin ; Hericher, Corentin. From performance to fairness-awareness: Morality in organization's use of AI (Louvain Research Institute in Management and Organizations Working Paper Series; 2023-21), 2023. 11 p.
Vancompernolle Vromman, Flore ; Courtain, Sylvain ; Leleux, Pierre ; de Schaetzen, Constantin ; Kneip, Alexia ; Beghein, Eve ; Saerens, Marco. Maximum entropy logistic regression for demographic parity in supervised classification (Louvain Research Institute in Management and Organizations Working Paper Series; 2023-17), 2023. 18 p.
Vancompernolle Vromman, Flore ; Tancrez, Jean-Sébastien ; Van Vyve, Mathieu. Operations for free-floating bike sharing systems: a literature review (Louvain Research Institute in Management and Organizations Working Paper Series; 2022-19), 2022. 20 p.