Guillaume Metzler

According to our database, Guillaume Metzler authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Mini Minds: Exploring Bebeshka and Zlata Baby Models.

Irina Proskurina, Guillaume Metzler, Julien Velcin

CoRR, 2023

The Other Side of Compression: Measuring Bias in Pruned Transformers.

Irina Proskurina, Guillaume Metzler, Julien Velcin

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2021

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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

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

Guillaume Metzler

PhD thesis, 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

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

From Cost-Sensitive to Tight F-measure Bounds.

Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

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

Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data.

Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018