Rémi Viola - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 5 from 5

2022

Highly imbalanced learning, application to fraud detection. (Apprentissage fortement déséquilibré, application à la détection de fraude)Rémi Viola. PhD thesis, University of Lyon, France, 2022. [doi]

MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced dataRémi Viola, Léo Gautheron, Amaury Habrard, Marc Sebban. prl, 161:161-167, 2022. [doi]

2021

A Nearest Neighbor Algorithm for Imbalanced ClassificationRémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban. ijait, 30(3), 2021. [doi]

2020

Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced DataRémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban. IJCAI 2020: 2155-2161 [doi]

2019

An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced DataRémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban. ictai 2019: 243-250 [doi]

Sign in or sign up to see more results.

runs on WebDSL