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In Preparation

  1. J. Frecon, S. Salzo, and M. Pontil,
    Bilevel learning of deep representations,
    Unpublished, 2021.
  2. J. Frecon, R. Grazzi, S. Salzo, and M. Pontil,
    Smooth optimization of orthogonal wavelet basis,
    Unpublished, 2020.
  3. J. Frecon, S. Salzo, and M. Pontil,
    Bilevel Optimization of Groupwise Penalties,
    Unpublished, 2020.

International Journals

  1. J. Spilka, J. Frecon, R.F. Leonarduzzi, N. Pustelnik, P. Abry, and M. Doret,
    Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification,
    IEEE Journal of Biomedical and Health Informatics, 2017.
  2. 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,
    IEEE Transactions on Signal Processing, 2017.
  3. J. Frecon, N. Pustelnik, P. Abry, and L. Condat,
    On-the-fly Approximation of Multivariate Total Variation Minimization,
    IEEE Transactions on Signal Processing, 2016.
  4. 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, 2016.

International Conferences

  1. J. Frecon, S. Salzo, and M. Pontil
    Unveiling Groups of Related Tasks in Multi-Tasks Learning
    International Conference on Pattern Recognition (ICPR), 2020.
  2. J. Frecon, S. Salzo, and M. Pontil
    Bilevel learning of the group Lasso structure
    Conference on Neural Information Processing Systems (NeurIPS), 2018.
  3. 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), 2017.
  4. 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), 2016.
  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
    Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.
  6. 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
    Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.
  7. J. Frecon, N. Pustelnik, H. Wendt and P. Abry
    Multivariate Optimization for Multifractal-based Texture Segmentation
    International Conference on Image Processing (ICIP), 2015.
  8. 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), 2014.

Workshops and National Conferences

  1. J. Frecon, S. Salzo, and M. Pontil
    Inferring the group Lasso structure via bilevel optimization
    ICML Workshop - Modern Trends in Nonconvex Optimization for Machine Learning, 2018.
  2. J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry
    Selection du parametre de regularisation dans le probleme L2-Potts
    Colloque francophone de traitement du signal et des images (GRETSI), 2017.
  3. J. Frecon, N. Pustelnik, H. Wendt, L. Condat and P. Abry
    Multifractal-based texture segmentation using variational procedure
    Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016.
  4. J. Frecon, N. Pustelnik, H. Wendt and P. Abry
    Variation totale multivariee pour la detection de changement du spectre multifractal
    Colloque francophone de traitement du signal et des images (GRETSI), 2015.

Thesis

  1. J. Frecon
    Optimization methods for the analysis of scale invariant processes
    PhD Thesis, 2016.