Current Position

I am currently a postdoctoral researcher at the Italian Institute of Technology (IIT) in the Computational Statistics and Machine Learning group directed by Massimiliano Pontil. I defended my PhD in Physics at the Ecole Normale Supérieure de Lyon (ENS Lyon) on October 11th 2016, under the supervision of Patrice Abry and Nelly Pustelnik.

My areas of interest include inverse problems in signal and image processing, model selection techniques, on-the-fly non-smooth convex minimization and scale invariance analysis.

List of publications

Journal articles

  1. J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry,
    Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising,
    Submitted to IEEE Transactions on Signal Processing, 2016.
    (pdf)
  2. J. Frecon, G. Didier, N. Pustelnik and P. Abry,
    Non-Linear Wavelet Regression and Branch and Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion,
    IEEE Transactions on Signal Processing, 64(15):4040-4049, 2016.
    (pdf)
  3. J. Spilka, J. Frecon, R.F. Leonarduzzi, N. Pustelnik, P. Abry, and M. Doret,
    Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification,
    Accepted to IEEE Journal of Biomedical and Health Informatics, 2016.
    (pdf)
  4. J. Frecon, N. Pustelnik, P. Abry, and L. Condat,
    On-the-fly Approximation of Multivariate Total Variation Minimization,
    IEEE Transactions on Signal Processing, 64(9):2355–2364, 2016.
    (pdf)

International conferences

  1. J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry,
    Bayesian-variational scheme to automatically select the regularization parameter in the ℓ1-Potts model,
    International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 05-09, 2017.
    (pdf)
  2. J. Frecon, R. Fontugne, G. Didier, N. Pustelnik, K. Fukuda and P. Abry,
    Non-linear Regression for Bivariate Sef-similarity Identification - Application to Anomaly Detection in Internet Traffic Based on a Joint Scaling Analysis of Packet and Byte Counts,
    International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 4184–4188, Shanghai, China, March 20-25, 2016.
    (pdf)
  3. J. Frecon, N. Pustelnik, H. Wendt and P. Abry,
    Multivariate Optimization for Multifractal-based Texture Segmentation,
    International Conference on Image Processing (ICIP), pages 4957–4961, Quebec, Canada, Sept. 27-30, 2015.
    (pdf)
  4. R.F. Leonarduzzi, J. Spilka, J. Frecon, H. Wendt, N. Pustelnik, S. Jaffard, P. Abry and M. Doret,
    P-Leader Multifractal Analysis and Sparse SVM for Intrapartum Fetal Acidosis Detection,
    37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 1971–1974, Italy, Milan, Aug. 25-29, 2015.
    (pdf)
  5. J. Spilka, J. Frecon, R.F. Leonarduzzi, N. Pustelnik, P. Abry and M. Doret,
    Intrapartum Fetal Heart Rate Classification from Trajectory in Sparse SVM Feature Space,
    37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 2335–2338, Italy, Milan, Aug. 25-29, 2015.
    (web)
  6. J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry,
    Hybrid Bayesian Variational Scheme to Handle Parameter Selection in Total Variation Signal Denoising,
    European Signal Processing Conference (EUSIPCO), pages 1716–1720, Lisbon, Portugal, Sept. 1-5, 2014.
    (pdf)

National conferences and workshops

  1. J. Frecon, N. Pustelnik, H. Wendt, L. Condat and P. Abry,
    Multifractal-based texture segmentation using variational procedure,
    IVMSP, Bordeaux, France, Jul. 11-12 2016.
    (pdf)
  2. J. Frecon, N. Pustelnik, H. Wendt and P. Abry,
    Variation totale multivariée pour la détection de changement du spectre multifractal,
    GRETSI, Lyon, France, Sept. 8-11 2015.
    (pdf)

Softwares

[SparseSVM] Sparse Support Vector Machine for Imbalanced Classes

Sparse support vector machine method adapted to deal with imbalanced class sizes.
Download: toolbox_sparseSVM.zip (Matlab. Version: 03-March-2017).

[BivOfBm_BB] Full identification of bivariate operator fractional Brownian motion

Branch and bound algorithm to jointly estimate the scale invariance properties of bivariate data
Download: soon.

[PottsSelect] Selection of the regularization parameter in 1D Potts denoising problems

This contribution proposes an operational strategy that combines hierarchical Bayesian and l1-Potts/l2-Potts formulations, with the double aim of automatically tuning the regularization parameter and of maintaining computational efficiency.
Download: toolbox_PottsSelect.zip (Matlab. Version: 28-July-2017)

[TV_OnTheFly] On-the-fly Approximation of Multivariate Total Variation Minimization

In the context of joint change-point detection shared by multivariate data, we have designed an efficient on-the-fly algorithm leading to an approximate solution to the multivariate total variation minimization problem.
Download: toolbox_TV_OnTheFly.zip (Matlab. Version: 03-November-2016)

Teaching

2015-2016

2014-2015

2013-2014