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D-Index & Metrics

Computer Science

D-Index
63
Citations
18650
World Ranking
2728
National Ranking
25

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to high-dimensional analysis and manifold learning

Overview

Michel Verleysen is affiliated with Université Catholique de Louvain in Belgium. Their research primarily falls within the field of Computer Science, with significant contributions to several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, and Media Technology.

The main research topics covered by Michel Verleysen's work include:

  • Face and Expression Recognition
  • Neural Networks and Applications
  • Video Surveillance and Tracking Methods
  • Advanced Clustering Algorithms Research
  • Blind Source Separation Techniques
  • EEG and Brain-Computer Interfaces
  • Data Visualization and Analytics

Michel Verleysen has been published frequently in venues such as:

  • arXiv (Cornell University)
  • Neurocomputing
  • ESANN 2021 proceedings
  • SSRN Electronic Journal
  • PLoS ONE

Notable recent papers include:

  • "Dynamics of the perception and EEG signals triggered by tonic warm and cool stimulation" (2020) published in PLoS ONE
  • "LASSO multi-objective learning algorithm for feature selection" (2020) published in Soft Computing
  • "Semi-supervised t-SNE with multi-scale neighborhood preservation" (2023) published in Neurocomputing
  • "Fast Multiscale Neighbor Embedding" (2020) published in IEEE Transactions on Neural Networks and Learning Systems
  • "The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications" (2023) published in IEEE Computer Graphics and Applications

Frequent collaborators in their research include:

  • Cyril de Bodt
  • John A. Lee
  • Pierre Lambert
  • Edouard Couplet
  • Dounia Mulders

Michel Verleysen was recognized as an IEEE Fellow in 2015 for contributions to high-dimensional analysis and manifold learning.

Best Publications

  • Unique in the Crowd: The privacy bounds of human mobility

    Yves Alexandre De Montjoye;Yves Alexandre De Montjoye;César A. Hidalgo;César A. Hidalgo;César A. Hidalgo;Michel Verleysen;Vincent D. Blondel;Vincent D. Blondel

  • Nonlinear Dimensionality Reduction

    John A. Lee;Michel Verleysen

  • Classification in the Presence of Label Noise: A Survey

    Benoit Frenay;Michel Verleysen

  • The curse of dimensionality in data mining and time series prediction

    Michel Verleysen;Damien François

  • Nonlinear dimensionality reduction

    Michel Verleysen;John Aldo Lee

  • The Concentration of Fractional Distances

    Damien Francois;Vincent Wertz;Michel Verleysen

  • Quality assessment of dimensionality reduction: Rank-based criteria

    John A. Lee;Michel Verleysen

  • K nearest neighbours with mutual information for simultaneous classification and missing data imputation

    Pedro J. García-Laencina;José-Luis Sancho-Gómez;Aníbal R. Figueiras-Vidal;Michel Verleysen

  • Mutual information for the selection of relevant variables in spectrometric nonlinear modelling

    Fabrice Rossi;Amaury Lendasse;Damien François;Vincent Wertz

  • Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification

    G. de Lannoy;D. Francois;J. Delbeke;M. Verleysen

  • Clustering Smart Card Data for Urban Mobility Analysis

    Mohamed K. El Mahrsi;Etienne Come;Latifa Oukhellou;Michel Verleysen

  • Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis

    John Aldo Lee;Amaury Lendasse;Michel Verleysen

  • Image compression by self-organized Kohonen map

    C. Amerijckx;M. Verleysen;P. Thissen;J.-D. Legat

  • Non-linear financial time series forecasting application to the Bel 20 stock market index

    Amaury Lendasse;Eric de Bodt;Vincent Wertz;Michel Verleysen

  • Feature selection for interpatient supervised heart beat classification

    G. Doquire;G. De Lannoy;D. François;M. Verleysen

  • Resampling methods for parameter-free and robust feature selection with mutual information

    D. François;F. Rossi;V. Wertz;M. Verleysen

  • A robust nonlinear projection method

    John Aldo Lee;Amaury Lendasse;Nicolas Donckers;Michel Verleysen

  • On the Kernel Widths in Radial-Basis Function Networks

    Nabil Benoudjit;Michel Verleysen

  • Letters: Mutual information-based feature selection for multilabel classification

    Gauthier Doquire;Michel Verleysen

  • Representation of functional data in neural networks

    Fabrice Rossi;Nicolas Delannay;Brieuc Conan-Guez;Michel Verleysen

  • A robust non-linear projection method.

    John Aldo Lee;Amaury Lendasse;Nicolas Donckers;Michel Verleysen

  • Multivariate statistics process control for dimensionality reduction in structural assessment

    L. E. Mujica;J. Vehi;M. Ruiz;Michel Verleysen

Frequent Co-Authors

John Aldo Lee
John Aldo Lee Université Catholique de Louvain
Amaury Lendasse
Amaury Lendasse University of Houston
Christian Jutten
Christian Jutten Grenoble Alpes University
Thomas Villmann
Thomas Villmann Hochschule Mittweida
Barbara Hammer
Barbara Hammer Bielefeld University
André Mouraux
André Mouraux Université Catholique de Louvain
Daniel A. Keim
Daniel A. Keim University of Konstanz
Erkki Oja
Erkki Oja Aalto University
César A. Hidalgo
César A. Hidalgo Harvard University
Luc Vandendorpe
Luc Vandendorpe Université Catholique de Louvain

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