Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data. - Guillaume Metzler; Xavier Badiche; Brahim Belkasmi; Élisa Fromont; Amaury Habrard; Marc Sebban (IDA, 2018)

Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees. - Guillaume Metzler; Xavier Badiche; Brahim Belkasmi; Élisa Fromont; Amaury Habrard; Marc Sebban (Pattern Recognit. Lett., 2018)

From Cost-Sensitive to Tight F-measure Bounds. - Kevin Bascol; Rémi Emonet; Élisa Fromont; Amaury Habrard; Guillaume Metzler; Marc Sebban (AISTATS, 2019)

An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. - Rémi Viola; Rémi Emonet; Amaury Habrard; Guillaume Metzler; Sébastien Riou; Marc Sebban (ICTAI, 2019)

Apprentissage dans un contexte déséquilibré : une application à la détection de fraude. (Learning from Imbalanced Data: Application to Bank Fraud Detection). - Guillaume Metzler (2019)

Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data. - Rémi Viola; Rémi Emonet; Amaury Habrard; Guillaume Metzler; Marc Sebban (IJCAI, 2020)

Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting. - Léo Gautheron; Pascal Germain; Amaury Habrard; Guillaume Metzler; Emilie Morvant; Marc Sebban; Valentina Zantedeschi (ECML/PKDD (3), 2020)

A Nearest Neighbor Algorithm for Imbalanced Classification. - Rémi Viola; Rémi Emonet; Amaury Habrard; Guillaume Metzler; Sébastien Riou; Marc Sebban (Int. J. Artif. Intell. Tools, 2021)

The Other Side of Compression: Measuring Bias in Pruned Transformers. - Irina Proskurina; Guillaume Metzler; Julien Velcin (IDA, 2023)

Mini Minds: Exploring Bebeshka and Zlata Baby Models. - Irina Proskurina; Guillaume Metzler; Julien Velcin (CoRR, 2023)

When Quantization Affects Confidence of Large Language Models? - Irina Proskurina; Luc Brun; Guillaume Metzler; Julien Velcin (NAACL-HLT (Findings), 2024)

HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment. - Thibaud Leteno; Irina Proskurina; Antoine Gourru; Julien Velcin; Charlotte Laclau; Guillaume Metzler; Christophe Gravier (NAACL (Long Papers), 2025)

SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Prediction in Oncology. - Paul Minchella; Loïc Verlingue; Stéphane Chrétien; Rémi Vaucher; Guillaume Metzler (ECML/PKDD (9), 2025)

Histoires Morales: A French Dataset for Assessing Moral Alignment. - Thibaud Leteno; Irina Proskurina; Antoine Gourru; Julien Velcin; Charlotte Laclau; Guillaume Metzler; Christophe Gravier (CoRR, 2025)

SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology. - Paul Minchella; Loïc Verlingue; Stéphane Chrétien; Rémi Vaucher; Guillaume Metzler (CoRR, 2025)

Fair-GPTQ: Bias-Aware Quantization for Large Language Models. - Irina Proskurina; Guillaume Metzler; Julien Velcin (CoRR, 2025)

PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures. - Hind Atbir; Farah Cherfaoui; Guillaume Metzler; Emilie Morvant; Paul Viallard (CoRR, 2025)