Jordan Frecon
Jordan Frecon
Istituto Italiano di Tecnologia
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα iit.it - Αρχική σελίδα
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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
502016
Bilevel learning of the group lasso structure
J Frecon, S Salzo, M Pontil
Advances in Neural Information Processing Systems 31, 8301-8311, 2018
162018
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
112017
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
112016
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
102016
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
82016
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
72015
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
62015
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
52017
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
42016
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
32015
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
12015
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
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
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