Sparse support vector machine for intrapartum fetal heart rate classification J Spilka, J Frecon, R Leonarduzzi, N Pustelnik, P Abry, M Doret IEEE journal of biomedical and health informatics 21 (3), 664-671, 2016 | 101 | 2016 |
Bilevel learning of the group lasso structure J Frecon, S Salzo, M Pontil Advances in neural information processing systems 31, 2018 | 32 | 2018 |
Bayesian Selection for the -Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising J Frecon, N Pustelnik, N Dobigeon, H Wendt, P Abry IEEE Transactions on Signal Processing 65 (19), 5215-5224, 2017 | 20 | 2017 |
Non-linear regression for bivariate self-similarity identification—Application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts J Frecon, R Fontugne, G Didier, N Pustelnik, K Fukuda, P Abry 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 13 | 2016 |
On-the-fly approximation of multivariate total variation minimization J Frecon, N Pustelnik, P Abry, L Condat IEEE Transactions on Signal Processing 64 (9), 2355-2364, 2016 | 13 | 2016 |
Non-linear wavelet regression and branch & bound optimization for the full identification of bivariate operator fractional Brownian motion J Frecon, G Didier, N Pustelnik, P Abry IEEE Transactions on Signal Processing 64 (15), 4040-4049, 2016 | 11 | 2016 |
Intrapartum fetal heart rate classification from trajectory in sparse svm feature space J Spilka, J Frecon, R Leonarduzzi, N Pustelnik, P Abry, M Doret 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 10 | 2015 |
Bregman neural networks J Frecon, S Salzo, M Pontil, G Gasso Preprint, 2022 | 8 | 2022 |
Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model J Frecon, N Pustelnik, N Dobigeon, H Wendt, P Abry 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 7 | 2017 |
P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection R Leonarduzzi, J Spilka, J Frecon, H Wendt, N Pustelnik, S Jaffard, P Abry, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 7 | 2015 |
Multifractal-based texture segmentation using variational procedure J Frecon, N Pustelnik, H Wendt, L Condat, P Abry 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop …, 2016 | 5 | 2016 |
Multivariate optimization for multifractal-based texture segmentation J Frecon, N Pustelnik, H Wendt, P Abry 2015 IEEE International Conference on Image Processing (ICIP), 4957-4961, 2015 | 4 | 2015 |
Bayesian selection for the regularization parameter in TVl0 denoising problems J Frecon, N Pustelnik, N Dobigeon, H Wendt, P Abry arXiv preprint arXiv:1608.07739, 2016 | 2 | 2016 |
Variation totale multivariée pour la détection de changement du spectre multifractal J Frecon, N Pustelnik, H Wendt, P Abry 25eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et …, 2015 | 2 | 2015 |
Semi-universal adversarial perturbations J Frecon, P Viallard, E Morvant, G Gasso, A Habrard, S Canu | 1 | 2023 |
Sélection du paramètre de régularisation dans le problème l2-Potts. J Frécon, N Pustelnik, N Dobigeon, H Wendt, P Abry 26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017 …, 2017 | 1 | 2017 |
Méthodes d'optimisation pour l'analyse de processus invariants d'échelle J Frécon Université de Lyon, 2016 | 1 | 2016 |
Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising J Frecon, N Pustelnik, N Dobigeon, H Wendt, P Abry 2014 22nd European Signal Processing Conference (EUSIPCO), 1716-1720, 2014 | 1 | 2014 |
Bregman Proximal Viewpoint on Neural Operators AR Mezidi, J Frecon, S Salzo, A Habrard, M Pontil, R Emonet, M Sebban | | 2024 |
Linear Modeling of the Adversarial Noise Space J Frecon, L Anquetil, Y Liu, G Gasso, S Canu ECML, 2024 | | 2024 |