Learning Profiles to Assess Educational Prediction Systems. - Amal Ben Soussia; Célina Treuillier; Azim Roussanaly; Anne Boyer (AIED (1), 2022)

A New Way to Characterize Learning Datasets. - Célina Treuillier; Anne Boyer (CSEDU (2), 2022)

Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations. - Evan Dufraisse; Célina Treuillier; Armelle Brun; Julien Tourille; Sylvain Castagnos; Adrian Popescu 001 (PoliticalNLP@LREC, 2022)

Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems. - Célina Treuillier; Sylvain Castagnos; Evan Dufraisse; Armelle Brun (UMAP (Adjunct Publication), 2022)

A Multi-factorial Analysis of Polarization on Social Media. - Célina Treuillier; Armelle Brun; Sylvain Castagnos (UMAP (Adjunct Publication), 2023)

Gaining a better understanding of online polarization by approaching it as a dynamic process. - Célina Treuillier; Sylvain Castagnos; Christèle Lagier; Armelle Brun (CoRR, 2023)

12th International Workshop on News Recommendation and Analytics (INRA'24). - Benjamin Kille; Andreas Lommatzsch; Célina Treuillier; Vandana Yadav; Özlem Özgöbek (RecSys, 2024)

All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media. - Célina Treuillier; Sylvain Castagnos; Armelle Brun (SAC, 2024)

Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. - Célina Treuillier; Sylvain Castagnos; Özlem Özgöbek; Armelle Brun (UMAP, 2024)

Modélisation individuelle et multi-factorielle du phénomène de polarisation pour une personnalisation de l'apport en diversité dans les recommandations de news. (Individual and multi-factorial model of polarization to personalize diversification approaches in news recommendations). - Célina Treuillier (2024)