Unsupervised interpretable pattern discovery in time series using autoencoders K Bascol, R Emonet, E Fromont, JM Odobez Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016 | 29 | 2016 |
Improving domain adaptation by source selection K Bascol, R Emonet, E Fromont 2019 IEEE International Conference on Image Processing (ICIP), 3043-3047, 2019 | 21 | 2019 |
From Cost-Sensitive Classification to Tight F-measure Bounds K Bascol, R Emonet, E Fromont, A Habrard, G Metzler, M Sebban AISTATS 2019 - 22nd International Conference on Artificial Intelligence and …, 2019 | 13* | 2019 |
Improving chairlift security with deep learning K Bascol, R Emonet, E Fromont, R Debusschere Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA …, 2017 | 9 | 2017 |
Multi-source domain adaptation on imbalanced data: application to the improvement of chairlifts safety K Bascol Université jean Monnet, 2019 | | 2019 |
Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication. K Bascol, R Emonet, E Fromont, A Habrard, G Metzler, M Sebban Conférence pour l'Apprentissage Automatique, 2018 | | 2018 |
FromCost-SensitiveClassification toTightF-measureBounds K Bascol, R Emonet, E Fromont, A Habrard, G Metzler, M Sebban | | |