| POT: Python Optimal Transport R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ... Journal of Machine Learning Research 22 (78), 1-8, 2021 | 869 | 2021 |
| Akaike's Information Criterion, Cp and Estimators of Loss for Elliptically Symmetric Distributions A Boisbunon, S Canu, D Fourdrinier, W Strawderman, MT Wells International Statistical Review, 2014 | 93* | 2014 |
| Inadmissibility of the best equivariant predictive density in the unknown variance case A Boisbunon, Y Maruyama Biometrika, 2014 | 15 | 2014 |
| Active set strategy for high-dimensional non-convex sparse optimization problems A Boisbunon, R Flamary, A Rakotomamonjy 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 14 | 2014 |
| The class of multivariate spherically symmetric distributions A Boisbunon Université de Rouen, Technical Report,# 2012-005, 2012 | 13 | 2012 |
| Zoetrope Genetic Programming for Regression A Boisbunon, C Fanara, I Grenet, J Daeden, A Vighi, M Schoenauer Proceedings of the Genetic and Evolutionary Computation Conference, 776-784, 2021 | 12 | 2021 |
| PaZoe: classifying time series with few labels M Kamalov, A Boisbunon, C Fanara, I Grenet, J Daeden 2021 29th European Signal Processing Conference (EUSIPCO), 1561-1565, 2021 | 8 | 2021 |
| Large Scale Sparse Optimization for Object Detection in High Resolution Images A Boisbunon, R Flamary, A Rakotomamonjy, A Giros, J Zerubia | 6 | 2014 |
| Graph diffusion & PCA framework for semi-supervised learning K Avrachenkov, A Boisbunon, M Kamalov International Conference on Learning and Intelligent Optimization, 25-39, 2021 | 4 | 2021 |
| Model selection: a decision-theoretic approach A Boisbunon Normandie Université, 2013 | 4 | 2013 |
| Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark HI Fawaz, G Del Grosso, T Kerdoncuff, A Boisbunon, I Saffar arXiv preprint arXiv:2312.09857, 2023 | 3 | 2023 |
| Estimation of the weight parameter with SAEM for marked point processes applied to object detection A Boisbunon, J Zerubia 2014 22nd European Signal Processing Conference (EUSIPCO), 2185-2189, 2014 | 3 | 2014 |
| ML-Based What-If Analysis to Mitigate Interference for 5G NR Non-Public Networks A Boisbunon, I Saffar, J Biosca-Caro, J Ansari, A Alabbasi ICC 2024-IEEE International Conference on Communications, 2974-2979, 2024 | | 2024 |
| Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark H Ismail Fawaz, G Del Grosso, T Kerdoncuff, A Boisbunon, I Saffar arXiv e-prints, arXiv: 2312.09857, 2023 | | 2023 |
| Sélection de modèle: une approche décisionnelle A Boisbunon Université de Rouen, 2013 | | 2013 |
| Criteria for variable selection with dependence A Boisbunon, S Canu, D Fourdrinier | | 2011 |
| Sélection de variables dans le modele linéaire A Boisbunon, D Fourdrinier, S Canu | | 2010 |
| A global procedure for variable selection A Boisbunon, S Canu, D Fourdrinier | | |
| A trade-off between Gaussian and worst case analysis for model selection A Boisbunon, S Canu, D Fourdrinier | | |
| Critères robustes de sélection de variables pour le modèle linéaire via l’estimation de coût A Boisbunon, S Canu, D Fourdrinier | | |
Rémi FlamaryCMAP, École Polytechnique, Institut Polytechnique de ParisVerified email at polytechnique.edu
