| Residual conv-deconv grid network for semantic segmentation D Fourure, R Emonet, E Fromont, D Muselet, A Tremeau, C Wolf BMVC'2017 British Machine Vision Conference / arXiv preprint arXiv:1707.07958, 2017 | 273 | 2017 |
| Multispectral fusion for object detection with cyclic fuse-and-refine blocks H Zhang, E Fromont, S Lefevre, B Avignon 2020 IEEE International conference on image processing (ICIP), 276-280, 2020 | 167 | 2020 |
| Guided attentive feature fusion for multispectral pedestrian detection H Zhang, E Fromont, S Lefèvre, B Avignon Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 155 | 2021 |
| Discriminative feature fusion for image classification B Fernando, E Fromont, D Muselet, M Sebban 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3434-3441, 2012 | 124 | 2012 |
| XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification K Fauvel, T Lin, V Masson, É Fromont, A Termier Mathematics 9 (23), 3137, 2021 | 119 | 2021 |
| Mining optimal decision trees from itemset lattices S Nijssen, E Fromont Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 114 | 2007 |
| Effective Use of Frequent Itemset Mining for Image Classification B Fernando, E Fromont, T Tuytelaars ECCV'12, 2012 | 112 | 2012 |
| Mining mid-level features for image classification B Fernando, E Fromont, T Tuytelaars International Journal of Computer Vision 108, 186-203, 2014 | 101 | 2014 |
| Optimal constraint-based decision tree induction from itemset lattices S Nijssen, E Fromont Data Mining and Knowledge Discovery 21, 9-51, 2010 | 78 | 2010 |
| Multi-task, multi-domain learning: application to semantic segmentation and pose regression D Fourure, R Emonet, E Fromont, D Muselet, N Neverova, A Trémeau, ... Neurocomputing 251, 68-80, 2017 | 71 | 2017 |
| XEM: An explainable-by-design ensemble method for multivariate time series classification K Fauvel, E Fromont, V Masson, P Faverdin, A Termier Data Mining and Knowledge Discovery 36 (3), 917-957, 2022 | 63* | 2022 |
| Supervised learning of Gaussian mixture models for visual vocabulary generation B Fernando, E Fromont, D Muselet, M Sebban Pattern Recognition 45 (2), 897-907, 2012 | 63 | 2012 |
| Platelet components associated with adverse reactions: predictive value of mitochondrial DNA relative to biological response modifiers F Cognasse, C Aloui, K Anh Nguyen, H Hamzeh‐Cognasse, J Fagan, ... Transfusion 56 (2), 497-504, 2016 | 56 | 2016 |
| A computerized prediction model of hazardous inflammatory platelet transfusion outcomes KA Nguyen, H Hamzeh-Cognasse, M Sebban, E Fromont, P Chavarin, ... PLoS One 9 (5), e97082, 2014 | 55 | 2014 |
| Platelet soluble CD40-ligand level is associated with transfusion adverse reactions in a mixed threshold-and-hit model F Cognasse, C Sut, E Fromont, S Laradi, H Hamzeh-Cognasse, ... Blood, The Journal of the American Society of Hematology 130 (11), 1380-1383, 2017 | 37 | 2017 |
| Mining spatiotemporal patterns in dynamic plane graphs A Prado, B Jeudy, É Fromont, F Diot Intelligent Data Analysis 17 (1), 71-92, 2013 | 37* | 2013 |
| Adversarial regularization for explainable-by-design time series classification Y Wang, R Emonet, E Fromont, S Malinowski, R Tavenard 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 33* | 2020 |
| Towards sustainable dairy management-a machine learning enhanced method for estrus detection K Fauvel, V Masson, E Fromont, P Faverdin, A Termier Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 33 | 2019 |
| Integrating decision tree learning into inductive databases É Fromont, H Blockeel, J Struyf Knowledge Discovery in Inductive Databases: 5th International Workshop, KDID …, 2007 | 33 | 2007 |
| 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 |