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Gérard Dreyfus

Gérard Dreyfus

D-Index & Metrics

Computer Science

D-Index
38
Citations
8710
World Ranking
10033
National Ranking
238

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to machine learning and its applications

Overview

Gérard Dreyfus is affiliated with ESPCI Paris in France and has contributed extensively to the field of neuroscience, with a particular focus on cognitive neuroscience. Their research spans multiple subfields, including psychiatry and mental health, spectroscopy, computational theory and mathematics, and molecular biology.

Dreyfus's work encompasses a range of topics related to brain function and behavior. Notable areas include neural and behavioral psychology studies, EEG and brain-computer interfaces, dementia and cognitive impairment research, spatial neglect and hemispheric dysfunction, computational drug discovery methods, functional brain connectivity studies, and neural dynamics and brain function.

Frequent co-authors collaborating with Dreyfus include:

  • Takfarinas Medani
  • Katia Andrade
  • Thomas Guieysse
  • Solofo Razafimahatratra
  • André Klarsfeld

Several scholarly venues have hosted Dreyfus's publications. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Chemical Information and Modeling
  • Critical Care
  • Journal of Integrative Neuroscience
  • Cognitive Neurodynamics

Among recent publications by Gérard Dreyfus are:

  • "A New Machine-Learning Tool for Fast Estimation of Liquid Viscosity. Application to Cosmetic Oils," 2020, Journal of Chemical Information and Modeling
  • "A brain-computer interface for the continuous, real-time monitoring of working memory load in real-world environments," 2020, Cognitive Neurodynamics
  • "How machine learning could be used in clinical practice during an epidemic," 2020, Critical Care
  • "Self-Modulation of Gamma-Band Synchronization through EEG-Neurofeedback Training in the Elderly," 2024, Journal of Integrative Neuroscience
  • "Can a failure in the error-monitoring system explain unawareness of memory deficits in Alzheimer's disease?," 2023, Cortex

In recognition of their work, Dreyfus was named an IEEE Fellow in 2012 for contributions to machine learning and its applications.

Best Publications

  • Single-layer learning revisited: a stepwise procedure for building and training a neural network

    Stefan Knerr;Léon Personnaz;Gérard Dreyfus

  • Neural Networks: Methodology and Applications

    Gérard Dreyfus

  • Collective computational properties of neural networks: New learning mechanisms.

    L. Personnaz;I. Guyon;G. Dreyfus

  • Information storage and retrieval in spin-glass like neural networks

    L. Personnaz;I. Guyon;G. Dreyfus

  • Ranking a random feature for variable and feature selection

    Hervé Stoppiglia;Gérard Dreyfus;Rémi Dubois;Yacine Oussar

  • Réseaux de neurones - Méthodologie et applications

    G Dreyfus;Martinez J.-M.;M Samuelides;M B Gordon

  • Handwritten digit recognition by neural networks with single-layer training

    S. Knerr;L. Personnaz;G. Dreyfus

  • Neural networks and nonlinear adaptive filtering: unifying concepts and new algorithms

    O. Nerrand;P. Roussel-Ragot;L. Personnaz;G. Dreyfus

  • Training wavelet networks for nonlinear dynamic input–output modeling

    Yacine Oussar;Isabelle Rivals;Léon Personnaz;Gérard Dreyfus

  • Initialization by Selection for Wavelet Network Training

    Yacine Oussar;Gérard Dreyfus

  • Development of a silent speech interface driven by ultrasound and optical images of the tongue and lips

    Thomas Hueber;Elie-Laurent Benaroya;Gérard Chollet;Bruce Denby

  • Pairwise Neural Network Classifiers with Probabilistic Outputs

    David Price;Stefan Knerr;Léon Personnaz;Gérard Dreyfus

  • Training recurrent neural networks: why and how? An illustration in dynamical process modeling

    O. Nerrand;P. Roussel-Ragot;D. Urbani;L. Personnaz

  • Diagnosis of Alzheimer's disease with Electroencephalography in a differential framework.

    Nesma Houmani;François Vialatte;François Vialatte;Esteve Gallego-Jutglà;Gérard Dreyfus

  • Eigentongue Feature Extraction for an Ultrasound-Based Silent Speech Interface

    T. Hueber;G. Aversano;G. Chollet;B. Denby

  • Bimodal BCI Using Simultaneously NIRS and EEG

    Yohei Tomita;Francois-Benoit Vialatte;Gerard Dreyfus;Yasue Mitsukura

  • How to be a gray box: dynamic semi-physical modeling

    Yacine Oussar;Gérard Dreyfus

  • Assessment Methods

    Unknown

  • Storage and retrieval of complex sequences in neural networks.

    I. Guyon;L. Personnaz;J. P. Nadal;G. Dreyfus

  • Local overfitting control via leverages

    Gaétan Monari;Gérard Dreyfus

  • Performance analysis of a pipelined backpropagation parallel algorithm

    A. Petrowski;G. Dreyfus;C. Girault

  • Toward a Principled Methodology for Neural Network Design and Performance Evaluation in QSAR. Application to the Prediction of LogP

    Arthur F. Duprat;T. Huynh;Gérard Dreyfus

Frequent Co-Authors

Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Maureen Stone
Maureen Stone Tableau Software (United States)
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Tulay Adali
Tulay Adali University of Maryland, Baltimore County
Jean Mariani
Jean Mariani Sorbonne University
Christiane Linster
Christiane Linster Cornell University
David H. Price
David H. Price University of Iowa
Sethuraman Panchanathan
Sethuraman Panchanathan Arizona State University

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