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
50 2016 Bilevel learning of the group lasso structure J Frecon, S Salzo, M Pontil
Advances in Neural Information Processing Systems 31, 8301-8311, 2018
16 2018 Bayesian Selection for the J Frecon, N Pustelnik, N Dobigeon, H Wendt, P Abry
IEEE Transactions on Signal Processing 65 (19), 5215-5224, 2017
11 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
11 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
10 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
8 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
7 2015 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
6 2015 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
5 2017 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
4 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
3 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
1 2015 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 Bilevel Learning of Deep Representations J Frecon, S Salzo, M Pontil
2021 Sélection du paramètre de régularisation dans le problème l2-Potts J Frécon, N Pustelnik, N Dobigeon, H Wendt, P Abry
GRETSI CNRS, 2017
2017 Méthodes d'optimisation pour l'analyse de processus invariants d'échelle J Frécon
Université de Lyon, 2016
2016 Unveiling Groups of Related Tasks in Multi-Task Learning J Frecon, S Salzo, M Pontil
Bayesian Selection for the l2-Potts Model Regularization Parameter: Constant Signal Denoising J Frecon, N Pustelnik, N Dobigeon, H Wendt, P Abry
BAYESIAN-VARIATIONAL SCHEME TO AUTOMATICALLY SELECT THE REGULARIZATION PARAMETER IN THE l1-POTTS MODEL J Frecon, N Pustelnik, N Dobigeon, H Wendt, P Abry
Nelly PustelnikCNRS researcher, Laboratoire de Physique de l'ENS LyonBestätigte E-Mail-Adresse bei ens-lyon.fr
