Roberto Leonarduzzi's Academic Website

Post-doctoral researcher
Signaux, Systèmes et Physique (SISYPHE) team
Laboratoire de Physique, CNRS UMR 5672, ENS de Lyon, France

 

Contact

Address: Ecole Normale Supérieure de Lyon
Laboratoire de Physique (UMR 5672 CNRS)
46 allée d'Italie 69364 Lyon Cedex 07, France
Office: LR 1 51
Phone: +33 04 72 72 85 59
Email:
 

Research

My research deals essentially with the analysis of highly irregular data through the notions of scale invariance and multifractal analysis.
Recently, I also started exploring applications of the scattering transform.
I am also interested in machine learning techniques for sparse learning.

Research Interests

Tools and Methods

Applications

Intrapartum fetal heart rate

Acydosis detection during labor using multifractal analysis.

Adult heart rate

Characterization of ischemic strokes from heart rate under atrial fibrillation.

Artistic paintings

Author authentification of van Gogh's paintings and Raphael's drawings.

 

Publication List

Last updated: 2018-03-27

Journal articles

  1. R. Leonarduzzi, P. Abry, H. Wendt, S. Jaffard and H. Touchette
    A Generalized Multifractal Formalism for the Estimation of Nonconcave Multifractal Spectra
    IEEE Transactions on Signal Processing, vol XX, pp XX, 2018, submitted.
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  2. P. Abry, J. Spilka, R. Leonarduzzi, V. Chudáček, N. Pustelnik and M. Doret
    Sparse learning for Intrapartum fetal heart rate analysis
    Biomedical Physics and Engineering Express, vol XX, pp XX, 2018, submitted.
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  3. R. Leonarduzzi, H. Liu and Y. Wang
    Scattering Transform and Sparse Linear Classifiers for Art Authentication
    Signal Processing, vol XX, pp XX, 2018, in press.
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  4. S. Jaffard, S. Seuret, H. Wendt, R. Leonarduzzi, S. Roux and P. Abry
    Multivariate multifractal analysis
    Applied and Computational Harmonic Analysis, vol XX, pp XX, 2018, in press.
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  5. R. Leonarduzzi, P. Abry, H. Wendt, K. Kiyono, Y. Yamamoto, E. Watanabe and J. Hayano
    Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation
    Methods of Information in Medicine, vol XX, pp XX, 2017, in press.
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  6. R. Leonarduzzi, P. Abry, H. Wendt, S. Jaffard and C. Melot
    Finite-Resolution Effect in p-leader Multifractal Analysis
    IEEE Transactions on Signal Processing, vol 65, pp 3359–3368, 2017.
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  7. J. Spilka, J. Frecon, R. 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, vol 21, pp 664-671, 2017.
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  8. S. Jaffard, C. Melot, R. Leonarduzzi, H. Wendt, P. Abry, S. G. Roux and M. Torres
    p-exponent and p-leaders, Part I: Negative Pointwise Regularity.
    Physica A, vol 448, pp 300–318, 2016.
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  9. R. Leonarduzzi, H. Wendt, P. Abry, S. Jaffard, C. Melot, S. G. Roux and M. Torres
    p-exponent and p-leaders, Part II: Multifractal Analysis. Relations to Detrended Fluctuation Analysis.
    Physica A, vol 448, pp 319–339, 2016.
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  10. R. Leonarduzzi, G. Alzamendi, G. Schlotthauer and M. Torres
    Wavelet Leader Multifractal Analysis of Period and Amplitude Sequences from Sustained Vowels
    Speech Communication, vol 72, pp 1–12, 2015.
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  11. R. Leonarduzzi, M. Torres and P. Abry
    Scaling Range Automated Selection for Wavelet Leader Multifractal Analysis
    Signal Processing, vol 105, pp 243–257, 2014.
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Refereed book chapters

  1. P. Abry, S. Jaffard, R. Leonarduzzi, C. Melot and H. Wendt
    New Exponents for Pointwise Singularities Classification
    Proc. Fractals and Related Fields III, 19-26 September 2015, Porquerolles, France, Stéphane Seuret and Julien Barral, 2017, To appear.
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  2. S. Jaffard, P. Abry, C. Melot, R. Leonarduzzi and H. Wendt
    Multifractal Analysis Based on p-exponents and Lacunarity Exponents
    Fractal Geometry and Stochastics V (Progress in probability), vol 70, C. Bandt, K. Falconer, M. Zähle, pp 279-313, 2015.
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Refereed conference proceedings

  1. R. Leonarduzzi, P. Abry, S. Roux, H. Wendt, S. Jaffard and S. Seuret
    On multifractal characterization for bivariate data
    Proc. European Signal Proc. Conf. (EUSIPCO), 2018, Submitted.
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  2. H. Wendt, R. Leonarduzzi, P. Abry, S. Roux, S. Jaffard and S. Seuret
    Assessing cross-dependencies using bivariate multifractal analysis
    Proc. IEEE Int. Conf. Acoust., Speech, and Signal Proc. (ICASSP), 2018, Accepted.
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  3. R. Leonarduzzi, P. Abry, S. Jaffard, H. Wendt, L. Gournay, T. Kyriacopoulou, C. Martineau and C. Martinez
    p-Leader Multifractal Analysis for Text Type Identification
    Proc. IEEE Int. Conf. Acoust., Speech, and Signal Proc. (ICASSP), 2017.
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  4. R. Leonarduzzi, P. Abry, H. Wendt, K. Kiyono, Y. Yamamoto, E. Watanabe and J. Hayano
    Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation
    Proc. Int. Workshop Biosignal Interpretation (BSI), Osaka, Japan, 2016.
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  5. J. Spilka, R. Leonarduzzi, V. Chudáček, P. Abry and M. Doret
    Fetal Heart Rate Classification: First vs Second Stage of Labor
    Proc. Int. Workshop Biosignal Interpretation (BSI), Osaka, Japan, 2016.
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  6. R. Leonarduzzi, H. Touchette, H. Wendt, P. Abry and S. Jaffard
    Generalized Legendre Transform Multifractal Formalism for Nonconcave Spectrum Estimation
    2016 IEEE Statistical Signal Processing Workshop (SSP) (SSP 2016), pp 1-5, Palma de Mallorca, Spain, 2016.
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  7. J. Spilka, V. Chudáček, M. Huptych, R. Leonarduzzi, P. Abry and M. Doret
    Intrapartum Fetal Heart Rate Classification: Cross-Database Evaluation
    XIV Mediterranean Conference on Medical and Biological Engineering and Computing: MEDICON 2016, pp 1199–1204, 2016.
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  8. R. Leonarduzzi, H. Wendt, S. Jaffard and P. Abry
    Pitfall in Multifractal Analysis of Negative Regularity
    Proc. GRETSI Symposium Signal and Image Processing, Lyon, France, 2015.
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  9. J. Spilka, J. Frecon, R. Leonarduzzi, N. Pustelnik, P. Abry and M. Doret
    Intrapartum Fetal Heart Rate Classification from Trajectory in Sparse SVM Feature Space
    Proc. Ann. Int. Conf. IEEE Eng. Med. and Biol. Soc. (EMBC), pp 2335–2338, 2015.
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  10. R. 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
    Proc. Ann. Int. Conf. IEEE Eng. Med. and Biol. Soc. (EMBC), pp 1971–1974, 2015.
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  11. R. Leonarduzzi, J. Spilka, H. Wendt, S. Jaffard, M. Torres, P. Abry and M. Doret
    p-leader Based Classification of First Stage Intrapartum Fetal HRV
    Proc. Latin American Conference on Biomedical Engineering (CLAIB), Paraná, Argentina, 2014.
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  12. R. Leonarduzzi, H. Wendt, S. Jaffard, S. Roux, M. Torres and P. Abry
    Extending Multifractal Analysis to Negative Regularity: p-exponents and p-leaders
    Proc. IEEE Int. Conf. Acoust., Speech, and Signal Proc. (ICASSP), pp 305-309, Florence, Italy, 2014.
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  13. R. Leonarduzzi, G. Schlotthauer and M. Torres
    Wavelet Leader Based Multifractal Analysis of Heart Rate Variability during Myocardial Ischaemia
    Proc. Ann. Int. Conf. IEEE Eng. Med. and Biol. Soc. (EMBC), pp 110–113, 2010.
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Invited talks

  1. p-leader analysis and classification of oscillating singularities
    CIMPA 2017 Research School: Harmonic Analysis, Geometric Measure Theory and Applications
    Buenos Aires, Argentina. 2017. link
  2. Multifractal analysis for text type identification
    Séminaire Cristolien d'Analyse Multifractale, Université Paris-Est Créteil
    Creteil, France. 2017. link
  3. p-leader analysis and classification of oscillating singularities
    Journées du GDR Multifractale
    Avignon, France. 2016. link
  4. p-leader multifractal analysis: advantages and applications
    Fractals and Related Fields III
    Porquerolles, France. link
 

Software

mf_bs_tool: P-leader multifractal analysis

This MATLAB toolbox implements multifractal analysis methods based on wavelet leaders and p-leaders, as described in (Wendt et al. 2007), (Wendt et al. 2009), (Jaffard et al. 2016), and (Leonarduzzi et al. 2016).

Main features:

The toolbox is written entirely in Matlab, with a key section in C that can be optionally compiled for improved speed and memory performance.

Demo

rangesel: Scaling range selection

This software is outdated. A new version is bundled in the p-leader based multifractal analysis toolbox presented before.

Performs the bootstrap-based scaling range selection algorithm for wavelet leader multifractal analysis, as described in this paper. Works with legacy versions of the wavelet-leader multifractal analysis toolbox WLBMF.

matlab_fig_printing

Matlab toolbox for convenient printing of publication quality figures.

Main features:

 

Vita

Download full CV: .pdf

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