MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data R Viola, L Gautheron, A Habrard, M Sebban Pattern Recognition Letters 161, 161-167, 2022 | 6 | 2022 |
An adjusted nearest neighbor algorithm maximizing the f-measure from imbalanced data R Viola, R Emonet, A Habrard, G Metzler, S Riou, M Sebban 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 6 | 2019 |
Learning from few positives: a provably accurate metric learning algorithm to deal with imbalanced data R Viola, R Emonet, A Habrard, G Metzler, M Sebban IJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, 2020 | 4 | 2020 |
Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la f-mesure dans un contexte déséquilibré R Viola, R Emonet, A Habard, G Metzler, S Riou, M Sebban Conférence sur l'Apprentissage automatique (CAp 2019), 2019 | 4 | 2019 |
A nearest neighbor algorithm for imbalanced classification R Viola, R Emonet, A Habrard, G Metzler, S Riou, M Sebban International Journal on Artificial Intelligence Tools 30 (03), 2150013, 2021 | 3 | 2021 |
MLFP: Un algorithme d’apprentissage de métrique pour la classification de données déséquilibrées R Viola, R Emonet, A Habrard, G Metzler, M Sebban Conférence sur l’Apprentissage automatique (CAp 2020), Vannes, France 4, 67, 2020 | 1 | 2020 |
Highly imbalanced learning, application to fraud detection R Viola Université de Lyon, 2022 | | 2022 |
A Corrected Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data R Viola, R Emonet, A Habrard, G Metzler, S Riou, M Sebban | | 2019 |