Michel Verleysen
Orcid: 0000-0003-4366-6155Affiliations:
- Université catholique de Louvain, Belgium
According to our database1,
Michel Verleysen
authored at least 265 papers
between 1988 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2015, "For contributions to high-dimensional analysis and manifold learning".
Timeline
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Bibliography
2024
Investigating latent representations and generalization in deep neural networks for tabular data.
Neurocomputing, 2024
2023
Neurocomputing, 2023
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria.
CoRR, 2023
The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications.
IEEE Computer Graphics and Applications, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like <i>t</i>-SNE and UMAP.
Neurocomputing, 2022
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP.
CoRR, 2022
2021
Pattern Recognit. Lett., 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Neural Comput. Appl., 2020
Machine Learning with Limited Size Datasets.
Proceedings of the 10th International Conference on Pervasive and Parallel Computing, 2020
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations.
IEEE Trans. Neural Networks Learn. Syst., 2019
Proceedings of the Advances in Computational Intelligence, 2019
Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia.
J. Imaging, 2018
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018
ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
IEEE Trans. Intell. Transp. Syst., 2017
Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity.
Neurocomputing, 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach.
Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support, 2017
A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set.
Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017
2016
Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers.
IEEE Trans. Cybern., 2016
A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems.
Int. J. Comput. Intell. Syst., 2016
Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists.
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Line Segmentation Approach for Ancient Palm Leaf Manuscripts Using Competitive Learning Algorithm.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure.
Neurocomputing, 2015
Incremental classification of objects in scenes: Application to the delineation of images.
Neurocomputing, 2015
Dagstuhl Reports, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Single Trial Classification for Mobile BCI - A Multiway Kernel Approach.
Proceedings of the BIOSIGNALS 2015, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Neural Networks, 2014
Comput. Stat. Data Anal., 2014
Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance.
Proceedings of the ICPRAM 2014, 2014
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2014
Generalized kernel framework for unsupervised spectral methods of dimensionality reduction.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
2013
Neural Networks, 2013
Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation.
Neurocomputing, 2013
Neurocomputing, 2013
Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification.
Neurocomputing, 2013
Neurocomputing, 2013
A graph Laplacian based approach to semi-supervised feature selection for regression problems.
Neurocomputing, 2013
User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013
Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013
Proceedings of the Visualization and Data Analysis 2013, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification.
IEEE Trans. Biomed. Eng., 2012
Neurocomputing, 2012
Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081).
Dagstuhl Reports, 2012
A Comparison of Multivariate Mutual Information Estimators for Feature Selection.
Proceedings of the ICPRAM 2012, 2012
Handling Imprecise Labels in Feature Selection with Graph Laplacian.
Proceedings of the ICPRAM 2012, 2012
The stability of feature selection and class prediction from ensemble tree classifiers.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Cluster homogeneity as a semi-supervised principle for feature selection using mutual information.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Proceedings of the Meta-Learning in Computational Intelligence, 2011
Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants.
Proceedings of the International Conference on Computational Science, 2011
Parameter-insensitive kernel in extreme learning for non-linear support vector regression.
Neurocomputing, 2011
Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising.
Neurocomputing, 2011
Comput. Intell. Neurosci., 2011
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the Advances in Computational Intelligence, 2011
Feature Selection for High-dimensional Data Analysis.
Proceedings of the NCTA 2011, 2011
An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data.
Proceedings of the KDIR 2011, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the Data Warehousing and Knowledge Discovery, 2011
Feature Selection for Inter-patient Supervised Heart Beat Classification.
Proceedings of the BIOSIGNALS 2011, 2011
2010
Pattern Recognit. Lett., 2010
Neurocomputing, 2010
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding.
Proceedings of the 19th International Conference on Computational Statistics, 2010
Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010
Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification.
Proceedings of the Biomedical Engineering Systems and Technologies, 2010
Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification.
Proceedings of the BIOSIGNALS 2010, 2010
2009
Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity.
Neurocomputing, 2009
Neurocomputing, 2009
Neurocomputing, 2009
K nearest neighbours with mutual information for simultaneous classification and missing data imputation.
Neurocomputing, 2009
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the Similarity-Based Clustering, 2009
Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification.
Proceedings of the BIOSIGNALS 2009, 2009
2008
IEEE Trans. Signal Process., 2008
Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods.
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008
Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition.
Neurocomputing, 2008
Neurocomputing, 2008
A Comparative Study of Various Probability Density Estimation Methods for Data Analysis.
Int. J. Comput. Intell. Syst., 2008
A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis
CoRR, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the Biomedical Engineering Systems and Technologies, 2008
A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008
2007
IEEE Trans. Neural Networks, 2007
IEEE Trans. Neural Networks, 2007
Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation.
IEEE Trans. Inf. Theory, 2007
High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria.
Neurocomputing, 2007
Neurocomputing, 2007
Resampling methods for parameter-free and robust feature selection with mutual information.
Neurocomputing, 2007
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
CoRR, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Feature clustering and mutual information for the selection of variables in spectral data.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007
07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007
2006
Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2005
Information theoretic versus cumulant-based contrasts for multimodal source separation.
IEEE Signal Process. Lett., 2005
Signal Process., 2005
Pattern Recognit. Lett., 2005
Neurocomputing, 2005
Future Gener. Comput. Syst., 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
2004
Double quantization of the regressor space for long-term time series prediction: method and proof of stability.
Neural Networks, 2004
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis.
Neurocomputing, 2004
Neurocomputing, 2004
Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind.
Artif. Intell. Medicine, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
Proceedings of the NNSP 2003, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Design of analog fuzzy logic controllers in CMOS technologies - implementation, test and application.
Kluwer, 2003
2002
A CMOS/SOI Single-input PWM Discriminator for Low-voltage Body-implanted Applications.
VLSI Design, 2002
Neural Networks, 2002
Neurocomputing, 2002
Forecasting electricity consumption using nonlinear projection and self-organizing maps.
Neurocomputing, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption.
Proceedings of the American Control Conference, 2002
2001
Proceedings of the Advances in Self-Organising Maps, 2001
Proceedings of the Advances in Self-Organising Maps, 2001
On Designing Mixed-Signal Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies.
Proceedings of the 14th Annual Symposium on Integrated Circuits and Systems Design, 2001
Embedded fuzzy control for automatic channel equalization after digital transmissions.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
2000
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
A 5.26 Mflips programmable analogue fuzzy logic controller in a standard CMOS 2.4 μ technology.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
Time series forecasting using CCA and Kohonen maps - application to electricity consumption.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000
1999
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Extraction of intrinsic dimension using CCA - Application to blind sources separation.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
1998
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998
1997
Neurocomputing, 1997
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997
1995
Proceedings of the From Natural to Artificial Neural Computation, 1995
Proceedings of the From Natural to Artificial Neural Computation, 1995
Proceedings of the From Natural to Artificial Neural Computation, 1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995
1994
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994
1993
IEEE Trans. Neural Networks, 1993
Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns.
Proceedings of the New Trends in Neural Computation, 1993
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993
1992
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992
1991
Proceedings of the Artificial Neural Networks, 1991
1989
Neural networks for high-storage content-addressable memory: VLSI circuit and learning algorithm.
IEEE J. Solid State Circuits, June, 1989
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989
1988
Neural Networks, 1988
Neural Networks, 1988