Rémi Viola

According to our database, Rémi Viola authored at least 5 papers between 2019 and 2022.

Collaborative distances:

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

2022

Highly imbalanced learning, application to fraud detection. (Apprentissage fortement déséquilibré, application à la détection de fraude).

Rémi Viola

PhD thesis, 2022

MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data.

Rémi Viola, Léo Gautheron, Amaury Habrard, Marc Sebban

Pattern Recognit. Lett., 2022

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

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

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