Jordan Frécon

Orcid: 0000-0001-6594-1782

According to our database1, Jordan Frécon authored at least 17 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization.
CoRR, 2023

2022
Bregman Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

2020
Unveiling Groups of Related Tasks in Multi - Task Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Bilevel learning of the Group Lasso structure.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Bayesian Selection for the ℓ<sub>2</sub>-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising.
IEEE Trans. Signal Process., 2017

Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification.
IEEE J. Biomed. Health Informatics, 2017

Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Méthodes d'optimisation pour l'analyse de processus invariants d'échelle. (Optimization methods for the analysis of scale invariant processes).
PhD thesis, 2016

On-The-Fly Approximation of Multivariate Total Variation Minimization.
IEEE Trans. Signal Process., 2016

Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion.
IEEE Trans. Signal Process., 2016

Bayesian selection for the regularization parameter in TVl0 denoising problems.
CoRR, 2016

Multifractal-based texture segmentation using variational procedure.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

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.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Multivariate optimization for multifractal-based texture segmentation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising.
Proceedings of the 22nd European Signal Processing Conference, 2014


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