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ORCIDRémi Viola
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Books and Theses
- 2022
[b1]Rémi Viola:
Highly imbalanced learning, application to fraud detection. (Apprentissage fortement déséquilibré, application à la détection de fraude). University of Lyon, France, 2022
Journal Articles
- 2022
- [j2]Rémi Viola
, Léo Gautheron, Amaury Habrard, Marc Sebban:
MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data. Pattern Recognit. Lett. 161: 161-167 (2022) - 2021
- [j1]Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban:
A Nearest Neighbor Algorithm for Imbalanced Classification. Int. J. Artif. Intell. Tools 30(3): 2150013:1-2150013:27 (2021)
Conference and Workshop Papers
- 2020
- [c2]Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban:
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data. IJCAI 2020: 2155-2161 - 2019
- [c1]Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban:
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. ICTAI 2019: 243-250
Informal and Other Publications
- 2019
- [i1]Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban:
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. CoRR abs/1909.00693 (2019)
Coauthor Index
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