| Deep geometric knowledge distillation with graphs C Lassance, M Bontonou, GB Hacene, V Gripon, J Tang, A Ortega ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 53 | 2020 |
| Few-shot decoding of brain activation maps M Bontonou, G Lioi, N Farrugia, V Gripon 2021 29th European Signal Processing Conference (EUSIPCO), 1326-1330, 2021 | 19* | 2021 |
| Introducing graph smoothness loss for training deep learning architectures M Bontonou, C Lassance, GB Hacene, V Gripon, J Tang, A Ortega 2019 IEEE Data Science Workshop (DSW), 160-164, 2019 | 18 | 2019 |
| Predicting the generalization ability of a few-shot classifier M Bontonou, L Béthune, V Gripon Information 12 (1), 29, 2021 | 11* | 2021 |
| Ranking deep learning generalization using label variation in latent geometry graphs C Lassance, L Béthune, M Bontonou, M Hamidouche, V Gripon arXiv preprint arXiv:2011.12737, 2020 | 9 | 2020 |
| Un modèle unifié pour la classification de signaux sur graphe avec de l'apprentissage profond M Bontonou, C Lassance, JC Vialatte, V Gripon GRETSI, 2020 | 3* | 2020 |
| Comparing linear structure-based and data-driven latent spatial representations for sequence prediction M Bontonou, C Lassance, V Gripon, N Farrugia Wavelets and Sparsity XVIII 11138, 306-314, 2019 | 3 | 2019 |
| A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches M Bontonou, A Haget, M Boulougouri, B Audit, P Borgnat, JM Arbona arXiv preprint arXiv:2402.00926, 2024 | 2* | 2024 |
| Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification M Bontonou, N Farrugia, V Gripon arXiv preprint arXiv:2108.10427, 2021 | 1 | 2021 |
| Learning smooth graphs with sparse temporal variations to explore long-term financial trends C Bastidon, M Bontonou, P Borgnat, P Jensen, P Abry, A Parent 2024 32nd European Signal Processing Conference (EUSIPCO), 2487-2491, 2024 | | 2024 |
| Explaining models relating objects and privacy A Xompero, M Bontonou, JM Arbona, E Benetos, A Cavallaro arXiv preprint arXiv:2405.01646, 2024 | | 2024 |
| Expliquer la classification d'expression de gènes par la méthode des gradients intégrés M Bontonou, JM Arbona, B Audit, P Borgnat GRETSI, 29e Colloque sur le traitement du signal et des images, 1233-1236, 2023 | | 2023 |
| Graphs as Tools to Improve Deep Learning Methods C Lassance, M Bontonou, M Hamidouche, B Pasdeloup, L Drumetz, ... Advances in Artificial Intelligence 2, 2023 | | 2023 |
| Leveraging data structure to learn from few examples: applications to computer vision and neuroimaging M Bontonou Ecole nationale supérieure Mines-Télécom Atlantique, 2021 | | 2021 |
| Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? M Bontonou, N Farrugia, V Gripon 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1288-1291, 2021 | | 2021 |
| Supplementary Material document for Explaining models relating objects and privacy A Xompero, M Bontonou, JM Arbona, E Benetos, A Cavallaro | | |
Vincent GriponIMT Atlantique and Lab-STICC確認したメール アドレス: imt-atlantique.fr
