World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
12451
World Ranking
5033
National Ranking
103

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to the theory and applications of fractal and multifractal analysis in signal and image processing

Overview

Patrice Abry is affiliated with the École Normale Supérieure de Lyon in France. Their research primarily focuses on the intersection of economics, econometrics, and finance, with significant contributions across related subfields such as economics and econometrics, computer vision and pattern recognition, finance, modeling and simulation, and global and planetary change.

The main topics covered in their work include complex systems and time series analysis, financial risk and volatility modeling, COVID-19 epidemiological studies, image and signal denoising methods, heart rate variability and autonomic control, neural dynamics and brain function, as well as random matrices and their applications.

Recent publications by Patrice Abry reflect this broad range of research interests and include:

  • Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data, 2023, Physical Review Fluids
  • Functional brain-heart interplay extends to the multifractal domain, 2021, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization, 2020, PLoS ONE
  • Variational graph autoencoders for multiview canonical correlation analysis, 2021, Signal Processing
  • Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data, 2022, IEEE Transactions on Signal Processing

Patrice Abry collaborates frequently with a consistent group of coauthors, including Herwig Wendt, Nelly Pustelnik, Barbara Pascal, Gustavo Didier, and Pierre Borgnat. These partnerships have contributed to a body of work that spans multiple publications in key venues.

Key publication venues for Patrice Abry include arXiv (Cornell University), IEEE Transactions on Signal Processing, the 2022 30th European Signal Processing Conference (EUSIPCO), UNC Libraries, and PLoS ONE.

Patrice Abry has received recognition as an IEEE Fellow in 2012 for contributions to the theory and applications of fractal and multifractal analysis in signal and image processing.

Best Publications

  • Wavelet analysis of long-range-dependent traffic

    P. Abry;D. Veitch

  • A wavelet-based joint estimator of the parameters of long-range dependence

    D. Veitch;P. Abry

  • Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data

    P. Abry;P. Flandrin;M. S. Taqqu;D. Veitch

  • Multiscale nature of network traffic

    P. Abry;R. Baraniuk;P. Flandrin;R. Riedi

  • The Wavelet-Based Synthesis for Fractional Brownian Motion Proposed by F. Sellan and Y. Meyer: Remarks and Fast Implementation

    Patrice Abry;Fabrice Sellan

  • MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking

    Romain Fontugne;Pierre Borgnat;Patrice Abry;Kensuke Fukuda

  • SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE

    Pierre Borgnat;Céline Robardet;Jean-Baptiste Rouquier;Patrice Abry

  • Bootstrap for Empirical Multifractal Analysis

    H. Wendt;P. Abry;S. Jaffard

  • Seven Years and One Day: Sketching the Evolution of Internet Traffic

    P. Borgnat;G. Dewaele;K. Fukuda;P. Abry

  • Wavelets, spectrum analysis and 1/f processes

    Patrice Abry;Paulo Gonçalvès;Patrick Flandrin

  • Wavelet Leaders in Multifractal Analysis

    Stéphane Jaffard;Stéphane Jaffard;Bruno Lashermes;Patrice Abry

  • Wavelet leaders and bootstrap for multifractal analysis of images

    Herwig Wendt;Stéphane G. Roux;Stéphane Jaffard;Patrice Abry

  • Long-range Dependence: Revisiting Aggregation with Wavelets

    Patrice Abry;Darryl Veitch;Patrick Flandrin

  • Scale-Free and Multifractal Time Dynamics of fMRI Signals during Rest and Task.

    Philippe Ciuciu;Gaël Varoquaux;Gaël Varoquaux;Gaël Varoquaux;Patrice Abry;Sepideh Sadaghiani

  • Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies

    A. Scherrer;N. Larrieu;P. Owezarski;P. Borgnat

  • Extracting hidden anomalies using sketch and non Gaussian multiresolution statistical detection procedures

    Guillaume Dewaele;Kensuke Fukuda;Pierre Borgnat;Patrice Abry

  • Cluster processes: a natural language for network traffic

    N. Hohn;D. Veitch;P. Abry

  • NEW INSIGHTS INTO THE ESTIMATION OF SCALING EXPONENTS

    Bruno Lashermes;Patrice Abry;Pierre Chainais

  • Multifractality Tests Using Bootstrapped Wavelet Leaders

    H. Wendt;P. Abry

  • On non-scale-invariant infinitely divisible cascades

    P. Chainais;R. Riedi;P. Abry

  • Real-time estimation of the parameters of long-range dependence

    Matthew Roughan;Darryl Veitch;Patrice Abry

Frequent Co-Authors

Pierre Borgnat
Pierre Borgnat École Normale Supérieure de Lyon
Darryl Veitch
Darryl Veitch University of Technology Sydney
Patrick Flandrin
Patrick Flandrin École Normale Supérieure de Lyon
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Rudolf H. Riedi
Rudolf H. Riedi Rice University
Stephen McLaughlin
Stephen McLaughlin Heriot-Watt University
Gaetano Valenza
Gaetano Valenza University of Pisa
Philippe Ciuciu
Philippe Ciuciu French Institute for Research in Computer Science and Automation - INRIA
Virginie van Wassenhove
Virginie van Wassenhove University of Paris-Saclay

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