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Jordan Frecon
Jordan Frecon
Hubert Curien Laboratorary, UJM
Verified email at univ-st-etienne.fr - Homepage
Title
Cited by
Cited by
Year
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
1002016
Bilevel learning of the group lasso structure
J Frecon, S Salzo, M Pontil
Advances in neural information processing systems 31, 2018
322018
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
202017
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
132016
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
132016
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
112016
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
102015
Bregman neural networks
J Frecon, S Salzo, M Pontil, G Gasso
Preprint, 2022
82022
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
82015
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
72017
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
52016
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
42015
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
22016
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
22015
Semi-universal adversarial perturbations
J Frecon, P Viallard, E Morvant, G Gasso, A Habrard, S Canu
12023
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
12017
Méthodes d'optimisation pour l'analyse de processus invariants d'échelle
J Frécon
Université de Lyon, 2016
12016
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
12014
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
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Articles 1–20