World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
14509
World Ranking
2776
National Ranking
40

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Jean-Yves Tourneret is affiliated with the National Polytechnic Institute of Toulouse in France. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in several subfields such as Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Biomedical Engineering.

Their scientific work centers on key topics including:

  • Target Tracking and Data Fusion in Sensor Networks
  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Bayesian Methods and Mixture Models
  • Complex Systems and Time Series Analysis
  • Advanced Statistical Methods and Models
  • Spectroscopy and Chemometric Analyses

Tourneret has published extensively in renowned venues. Frequent publication outlets include:

  • Signal Processing
  • arXiv (Cornell University)
  • 2021 29th European Signal Processing Conference (EUSIPCO)
  • 2022 30th European Signal Processing Conference (EUSIPCO)
  • IEEE Transactions on Signal Processing

Among recent papers, notable works are:

  • "Generalized isolation forest for anomaly detection," 2021, Pattern Recognition Letters
  • "Anomaly Detection and Classification in Multispectral Time Series Based on Hidden Markov Models," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "How to introduce expert feedback in one-class support vector machines for anomaly detection?", 2021, Signal Processing
  • "Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development," 2022, Computers and Electronics in Agriculture
  • "Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning," 2021, 2021 29th European Signal Processing Conference (EUSIPCO)

Collaborations have frequently involved several co-authors, with multiple joint publications with:

  • Herwig Wendt
  • Julien Lesouple
  • Florian Mouret
  • Denis Kouamé
  • Barbara Pilastre

The scientist's body of work emphasizes analytical and methodological advancements in anomaly detection, data fusion in sensor networks, and robust statistical modeling. Their contributions have appeared prominently across both theoretical and applied domains within signal and image processing and machine learning contexts.

Best Publications

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation

    Qi Wei;Jose Bioucas-Dias;Nicolas Dobigeon;Jean-Yves Tourneret

  • Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation

    Qi Wei;Nicolas Dobigeon;Jean-Yves Tourneret

  • Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms

    Nicolas Dobigeon;Jean-Yves Tourneret;Cedric Richard;Jose Carlos M. Bermudez

  • Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model

    A. Halimi;Y. Altmann;N. Dobigeon;J. Tourneret

  • Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery

    N. Dobigeon;S. Moussaoui;M. Coulon;J.-Y. Tourneret

  • Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery

    Y. Altmann;A. Halimi;N. Dobigeon;J. Tourneret

  • Bayesian Fusion of Multi-Band Images

    Qi Wei;Nicolas Dobigeon;Jean-Yves Tourneret

  • Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery

    N. Dobigeon;J.-Y. Tourneret;Chein-I Chang

  • Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model

    Pierre-Antoine Thouvenin;Nicolas Dobigeon;Jean-Yves Tourneret

  • Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers.

    Julián Tachella;Yoann Altmann;Nicolas Mellado;Aongus McCarthy

  • Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

    Ricardo Augusto Borsoi;Tales Imbiriba;José Carlos Moreira Bermudez;Cédric Richard

  • Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model. Application to Hyperspectral Imagery

    Olivier Eches;Nicolas Dobigeon;Corinne Mailhes;Jean-Yves Tourneret

  • An Affine Combination of Two LMS Adaptive Filters—Transient Mean-Square Analysis

    N.J. Bershad;J.C.M. Bermudez;J.-Y. Tourneret

  • Enhancing Hyperspectral Image Unmixing With Spatial Correlations

    O. Eches;N. Dobigeon;J-Y Tourneret

  • A Survey of Stochastic Simulation and Optimization Methods in Signal Processing

    Marcelo Pereyra;Philip Schniter;Emilie Chouzenoux;Jean-Christophe Pesquet

  • Parameter Estimation For Multivariate Generalized Gaussian Distributions

    Frederic Pascal;Lionel Bombrun;Jean-Yves Tourneret;Yannick Berthoumieu

  • Generalized isolation forest for anomaly detection

    Julien Lesouple;Cédric Baudoin;Marc Spigai;Jean-Yves Tourneret

  • P- and T-Wave Delineation in ECG Signals Using a Bayesian Approach and a Partially Collapsed Gibbs Sampler

    Chao Lin;Corinne Mailhes;Jean-Yves Tourneret

  • A Particle Filtering Approach for Joint Detection/Estimation of Multipath Effects on GPS Measurements

    A. Giremus;J.-Y. Tourneret;V. Calmettes

  • An affine combination of two NLMS adaptive filters - Transient mean-square analysis

    J. Bermudez;N.J. Bershad;J.-Y. Tourneret

Frequent Co-Authors

Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Stephen McLaughlin
Stephen McLaughlin Heriot-Watt University
Olivier Besson
Olivier Besson National Higher French Institute of Aeronautics and Space
Cedric Richard
Cedric Richard Université Côte d'Azur
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Simon J. Godsill
Simon J. Godsill University of Cambridge
Jean-Christophe Pesquet
Jean-Christophe Pesquet CentraleSupélec
Jordi Inglada
Jordi Inglada Centre d'Etudes Spatiales de la BIOsphère

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