| 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 | 164 | 2017 |
| 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 | 110 | 2012 |
| Effective Use of Frequent Itemset Mining for Image Classification B Fernando, E Fromont, T Tuytelaars ECCV'12, 2012 | 98 | 2012 |
| Mining mid-level features for image classification B Fernando, E Fromont, T Tuytelaars International Journal of Computer Vision 108 (3), 186-203, 2014 | 91 | 2014 |
| Mining optimal decision trees from itemset lattices S Nijssen, E Fromont Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 69 | 2007 |
| 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 | 59 | 2012 |
| 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 | 58 | 2017 |
| Optimal constraint-based decision tree induction from itemset lattices S Nijssen, E Fromont Data Mining and Knowledge Discovery 21 (1), 9-51, 2010 | 47 | 2010 |
| 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 | 46 | 2014 |
| 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 | 42 | 2016 |
| Integrating decision tree learning into inductive databases É Fromont, H Blockeel, J Struyf International Workshop on Knowledge Discovery in Inductive Databases, 81-96, 2006 | 32 | 2006 |
| Scene classification based on semantic labeling JC Rangel, M Cazorla, I García-Varea, J Martínez-Gómez, É Fromont, ... Advanced Robotics 30 (11-12), 758-769, 2016 | 27 | 2016 |
| 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 | 26 | 2017 |
| Constraint-based subspace clustering E Fromont, A Prado, C Robardet Proceedings of the 2009 SIAM International Conference on Data Mining, 26-37, 2009 | 26 | 2009 |
| Mixed pooling neural networks for color constancy D Fourure, R Emonet, E Fromont, D Muselet, A Trémeau, C Wolf 2016 IEEE International Conference on Image Processing (ICIP), 3997-4001, 2016 | 25 | 2016 |
| An inductive database system based on virtual mining views H Blockeel, T Calders, É Fromont, B Goethals, A Prado, C Robardet Data Mining and Knowledge Discovery 24 (1), 247-287, 2012 | 25 | 2012 |
| Contextually constrained deep networks for scene labeling T Kekeç, R Emonet, E Fromont, A Trémeau, C Wolf British Machine Vision Conference, 2014, 2014 | 23 | 2014 |
| 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 | 22 | 2020 |
| Mining spatiotemporal patterns in dynamic plane graphs A Prado, B Jeudy, É Fromont, F Diot Intelligent Data Analysis 17 (1), 71-92, 2013 | 22 | 2013 |
| Unsupervised interpretable pattern discovery in time series using autoencoders K Bascol, R Emonet, E Fromont, JM Odobez Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2016 | 20 | 2016 |
