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

D-Index & Metrics

Computer Science

D-Index
76
Citations
79522
World Ranking
1306
National Ranking
17

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
  • 2019 - BBVA Foundation Frontiers of Knowledge Award

Overview

Isabelle Guyon is affiliated with the University of Paris-Saclay in France. Their research is primarily situated in the field of Computer Science, with a specialized focus on Artificial Intelligence. Their contributions extend to several subfields including Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, and Control and Systems Engineering.

The scientist's major topics of work cover Machine Learning and Data Classification, Adversarial Robustness in Machine Learning, Time Series Analysis and Forecasting, Advanced Neural Network Applications, Machine Learning in Healthcare, Anomaly Detection Techniques and Applications, and Human Pose and Action Recognition.

Among the recent papers authored or co-authored by this scientist are the following:

  • Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020, 2021, arXiv (Cornell University)
  • Generation and evaluation of privacy preserving synthetic health data, 2020, Neurocomputing
  • Neural networks for power flow: Graph neural solver, 2020, Electric Power Systems Research
  • Modeling, Recognizing, and Explaining Apparent Personality From Videos, 2020, IEEE Transactions on Affective Computing
  • The Problem of Fairness in Synthetic Healthcare Data, 2021, Entropy

Frequent co-authors include:

  • Sérgio Escalera
  • Wei-Wei Tu
  • Romain Égelé
  • Adrien Pavão
  • Kristin P. Bennett

They have published extensively in various venues, with the highest number of publications in arXiv (Cornell University). Other notable venues include Neurocomputing, Electric Power Systems Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Pattern Recognition Letters.

  • arXiv (Cornell University)
  • Neurocomputing
  • Electric Power Systems Research
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition Letters

In recognition of their work, this researcher was awarded the BBVA Foundation Frontiers of Knowledge Award in 2019.

Best Publications

  • An introduction to variable and feature selection

    Isabelle Guyon;André Elisseeff

  • A training algorithm for optimal margin classifiers

    Bernhard E. Boser;Isabelle M. Guyon;Vladimir N. Vapnik

  • Gene Selection for Cancer Classification using Support Vector Machines

    Isabelle Guyon;Jason Weston;Stephen Barnhill;Vladimir Vapnik

  • SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK

    Jane Bromley;James W. Bentz;James W. Bentz;Léon Bottou;Léon Bottou;Isabelle Guyon

  • Signature Verification using a "Siamese" Time Delay Neural Network

    Jane Bromley;Isabelle Guyon;Yann LeCun;Eduard Säckinger

  • Feature extraction : foundations and applications

    I.M. Guyon;S.R. Gunn;M. Nikravesh;L. Zadeh

  • An Introduction to Feature Extraction

    Isabelle Guyon;André Elisseeff

  • Comparison of classifier methods: a case study in handwritten digit recognition

    L. Bottou;C. Cortes;C. Cortes;J.S. Denker;J.S. Denker;H. Drucker;H. Drucker

  • Learning algorithms for classification: A comparison on handwritten digit recognition

    Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;Corinna Cortes;Corinna Cortes

  • Comparison of learning algorithms for handwritten digit recognition

    Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;A. Brunot

  • A stability based method for discovering structure in clustered data.

    Asa Ben-Hur;Andre Elisseeff;Isabelle Guyon

  • Result Analysis of the NIPS 2003 Feature Selection Challenge

    Isabelle Guyon;Steve Gunn;Asa Ben-Hur;Gideon Dror

  • Handwritten digit recognition: applications of neural network chips and automatic learning

    Y. Le Cun;L.D. Jackel;B. Boser;J.S. Denker

  • Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

    Isabelle Guyon;Steve Gunn;Masoud Nikravesh;Lotfi A. Zadeh

  • UNIPEN project of on-line data exchange and recognizer benchmarks

    I. Guyon;L. Schomaker;R. Plamondon;M. Liberman

  • 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

  • Automatic Capacity Tuning of Very Large VC-Dimension Classifiers

    I. Guyon;B. Boser;V. Vapnik

  • Discovering informative patterns and data cleaning

    Isabelle Guyon;Nada Matic;Vladimir Vapnik

  • Detecting stable clusters using principal component analysis.

    Asa Ben-Hur;Isabelle Guyon

  • System for providing data analysis services using a support vector machine for processing data received from a remote source

    Stephen D. Barnhill;Isabelle Guyon;Jason Weston

Frequent Co-Authors

Sergio Escalera
Sergio Escalera University of Barcelona
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics
Constantin F. Aliferis
Constantin F. Aliferis University of Minnesota
Gideon Dror
Gideon Dror Academic College of Tel Aviv-Yafo
Jason Weston
Jason Weston Facebook (United States)
Vladimir Vapnik
Vladimir Vapnik Princeton University
Gérard Dreyfus
Gérard Dreyfus ESPCI Paris
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Tobias Golling
Tobias Golling University of Geneva

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