Michel Verleysen

289 papers A* 3A 1B 84C 13Misc 13Journal 100Unranked 70

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving on early exaggeration in t -SNE: Early hierarchization better preserves global structure. Neurocomputing John A. Lee, Edouard Couplet, Pierre Lambert, Pierre Merveille, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen
2025	J	`jnl`	FUnc-SNE: A flexible, Fast, and Unconstrained algorithm for neighbour embeddings. CoRR Pierre Lambert, Edouard Couplet, Michel Verleysen, John Aldo Lee
2024	B	`conf`	Forget early exaggeration in t-SNE: early hierarchization preserves global structure. ESANN John A. Lee, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen
2024	J	`jnl`	Investigating latent representations and generalization in deep neural networks for tabular data. Neurocomputing Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
2023	J	`jnl`	Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. CoRR Reza Sameni, Frédéric Vrins, Fabienne Parmentier, Christophe Hérail, Vincent Vigneron, Michel Verleysen, Christian Jutten, Mohammad B. Shamsollahi
2023	—	`conf`	Natively Interpretable t-SNE. PKDD/ECML Workshops (1) Edouard Couplet, Pierre Lambert, Michel Verleysen, Dounia Mulders, John A. Lee, Cyril de Bodt
2023	B	`conf`	On the number of latent representations in deep neural networks for tabular data. ESANN Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
2023	J	`jnl`	Semi-supervised Neurocomputing Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro-Ángel Orozco-Gutiérrez
2023	J	`jnl`	The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications Stef van den Elzen, Gennady L. Andrienko, Natalia V. Andrienko, Brian D. Fisher, Rafael Messias Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen
2022	J	`jnl`	Fast Multiscale Neighbor Embedding. IEEE Trans. Neural Networks Learn. Syst. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
2022	J	`jnl`	SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like Neurocomputing Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2022	J	`jnl`	SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. CoRR Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2021	B	`conf`	Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. ESANN Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt
2021	J	`jnl`	Reading grid for feature selection relevance criteria in regression. Pattern Recognit. Lett. Alexandra Degeest, Benoît Frénay, Michel Verleysen
2021	B	`conf`	Stochastic quartet approach for fast multidimensional scaling. ESANN Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2020	B	`conf`	Data Augmentation and Text Recognition on Khmer Historical Manuscripts. ICFHR Dona Valy, Michel Verleysen, Sophea Chhun
2020	J	`jnl`	Inference of node attributes from social network assortativity. Neural Comput. Appl. Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
2020	J	`jnl`	LASSO multi-objective learning algorithm for feature selection. Soft Comput. Frederico Coelho, Marcelo Costa, Michel Verleysen, Antônio P. Braga
2020	C	`conf`	Machine Learning with Limited Size Datasets. IJCCI Michel Verleysen
2020	—	`conf`	Machine Learning with Limited Size Datasets. PECCS Michel Verleysen
2020	B	`conf`	Perplexity-free Parametric t-SNE. ESANN Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2020	J	`jnl`	Perplexity-free Parametric t-SNE. CoRR Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2019	—	`conf`	About Filter Criteria for Feature Selection in Regression. IWANN (2) Alexandra Degeest, Michel Verleysen, Benoît Frénay
2019	B	`conf`	Class-aware t-SNE: cat-SNE. ESANN Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee
2019	—	`conf`	Comparison Between Filter Criteria for Feature Selection in Regression. ICANN (2) Alexandra Degeest, Michel Verleysen, Benoît Frénay
2019	B	`conf`	MAP best performances prediction for endurance runners. ESANN Ángel Campo, Marc Francaux, Laurent Baijot, Michel Verleysen
2019	J	`jnl`	Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Trans. Neural Networks Learn. Syst. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
2019	J	`jnl`	Semi-supervised relevance index for feature selection. Neural Comput. Appl. Frederico Coelho, Cristiano Leite Castro, Antônio P. Braga, Michel Verleysen
2019	B	`conf`	Tensor factorization to extract patterns in multimodal EEG data. ESANN Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen
2019	C	`conf`	Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model. ICPRAM Dona Valy, Michel Verleysen, Sophea Chhun
2018	J	`jnl`	Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia. J. Imaging Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun, Jean-Marc Ogier
2018	B	`conf`	Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts. ICFHR Dona Valy, Michel Verleysen, Sophea Chhun, Jean-Christophe Burie
2018	B	`conf`	Extensive assessment of Barnes-Hut t-SNE. ESANN Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
2018	B	`conf`	ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts. ICFHR Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun, Jean-Marc Ogier
2018	—	`conf`	Linear Periodic Discriminant Analysis of Multidimensional Signals. ICONIP (6) Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen
2018	B	`conf`	Perplexity-free t-SNE and twice Student tt-SNE. ESANN Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
2018	Misc	`conf`	Smoothness Bias in Relevance Estimators for Feature Selection in Regression. AIAI Alexandra Degeest, Michel Verleysen, Benoît Frénay
2018	—	`conf`	Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. LVA/ICA Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen
2017	—	`conf`	A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set. HIP@ICDAR Dona Valy, Michel Verleysen, Sophea Chhun, Jean-Christophe Burie
2017	J	`jnl`	Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans. Intell. Transp. Syst. Mohamed Khalil El Mahrsi, Etienne Côme, Latifa Oukhellou, Michel Verleysen
2017	—	`conf`	Improving individual predictions using social networks assortativity. WSOM Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
2017	J	`jnl`	Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. Neurocomputing Andrés Marino Álvarez-Meza, John Aldo Lee, Michel Verleysen, Germán Castellanos-Domínguez
2017	—	`conf`	Line segmentation for grayscale text images of khmer palm leaf manuscripts. IPTA Dona Valy, Michel Verleysen, Kimheng Sok
2017	—	`conf`	Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach. icSPORTS Dimitri de Smet, Michel Verleysen, Marc Francaux
2016	J	`jnl`	A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems. Int. J. Comput. Intell. Syst. Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen
2016	B	`conf`	A state-space model on interactive dimensionality reduction. ESANN Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Michel Verleysen
2016	—	`conf`	Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists. MLSA@PKDD/ECML Dimitri de Smet, Marc Francaux, Julien M. Hendrickx, Michel Verleysen
2016	B	`conf`	Line Segmentation Approach for Ancient Palm Leaf Manuscripts Using Competitive Learning Algorithm. ICFHR Dona Valy, Michel Verleysen, Kimheng Sok
2016	B	`conf`	Multi-step-ahead forecasting using kernel adaptive filtering. IJCNN Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee
2016	J	`jnl`	Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers. IEEE Trans. Cybern. Benoît Frénay, Michel Verleysen
2015	J	`jnl`	Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). Dagstuhl Reports Daniel A. Keim, Tamara Munzner, Fabrice Rossi, Michel Verleysen
2015	B	`conf`	Feature ranking in changing environments where new features are introduced. IJCNN Alexandra Degeest, Michel Verleysen, Benoît Frénay
2015	B	`conf`	Geometrical homotopy for data visualization. ESANN Diego Hernán Peluffo-Ordóñez, Juan Carlos Alvarado-Pérez, John Aldo Lee, Michel Verleysen
2015	J	`jnl`	Incremental classification of objects in scenes: Application to the delineation of images. Neurocomputing Guillaume Bernard, Michel Verleysen, John Aldo Lee
2015	J	`jnl`	Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen
2015	—	`conf`	Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. BIOSIGNALS Lieven Billiet, Borbála Hunyadi, Vladimir Matic, Sabine Van Huffel, Michel Verleysen, Maarten De Vos
2014	—	`conf`	Automatic correction of SVM for drifted data classification. EGC Alexandra Degeest, Benoît Frénay, Michel Verleysen
2014	J	`jnl`	Classification in the Presence of Label Noise: A Survey. IEEE Trans. Neural Networks Learn. Syst. Benoît Frénay, Michel Verleysen
2014	J	`jnl`	Estimating mutual information for feature selection in the presence of label noise. Comput. Stat. Data Anal. Benoît Frénay, Gauthier Doquire, Michel Verleysen
2014	C	`conf`	Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. CIDM Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
2014	B	`conf`	Interactive dimensionality reduction for visual analytics. ESANN Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel Pérez, Francisco J. García-Fernández, Michel Verleysen
2014	B	`conf`	Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. ESANN John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen
2014	J	`jnl`	Pointwise probability reinforcements for robust statistical inference. Neural Networks Benoît Frénay, Michel Verleysen
2014	B	`conf`	Recent methods for dimensionality reduction: A brief comparative analysis. ESANN Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
2014	—	`conf`	Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. WSOM Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
2014	—	`conf`	Support Vector Machines for Improved IP Detection with Soft Physical Hash Functions. COSADE Ludovic-Henri Gustin, François Durvaux, Stéphanie Kerckhof, François-Xavier Standaert, Michel Verleysen
2014	B	`conf`	The delta test: The 1-NN estimator as a feature selection criterion. IJCNN Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen
2014	C	`conf`	Two key properties of dimensionality reduction methods. CIDM John Aldo Lee, Michel Verleysen
2014	C	`conf`	Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance. ICPRAM Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen, José L. Rodríguez, Germán Castellanos-Domínguez
2013	J	`jnl`	A graph Laplacian based approach to semi-supervised feature selection for regression problems. Neurocomputing Gauthier Doquire, Michel Verleysen
2013	J	`jnl`	Distance estimation in numerical data sets with missing values. Inf. Sci. Emil Eirola, Gauthier Doquire, Michel Verleysen, Amaury Lendasse
2013	J	`jnl`	Feature selection for nonlinear models with extreme learning machines. Neurocomputing Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse
2013	Misc	`conf`	Improving projection-based data analysis by feature space transformations. Visualization and Data Analysis Matthias Schäfer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John Aldo Lee, Michel Verleysen, Daniel A. Keim
2013	J	`jnl`	Is mutual information adequate for feature selection in regression? Neural Networks Benoît Frénay, Gauthier Doquire, Michel Verleysen
2013	J	`jnl`	Mutual information-based feature selection for multilabel classification. Neurocomputing Gauthier Doquire, Michel Verleysen
2013	—	`conf`	Nonlinear Dimensionality Reduction for Visualization. ICONIP (1) Michel Verleysen, John Aldo Lee
2013	B	`conf`	Risk Estimation and Feature Selection. ESANN Gauthier Doquire, Benoît Frénay, Michel Verleysen
2013	—	`conf`	Segmentation with Incremental Classifiers. ICIAP (2) Guillaume Bernard, Michel Verleysen, John Aldo Lee
2013	B	`conf`	Sensitivity to parameter and data variations in dimensionality reduction techniques. ESANN Francisco J. García-Fernández, Michel Verleysen, John Aldo Lee, Ignacio Díaz Blanco
2013	—	`conf`	Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations. VAMP@EuroVis Francisco J. García-Fernández, Michel Verleysen, John A. Lee, Ignacio Díaz Blanco
2013	J	`jnl`	Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. Neurocomputing Benoît Frénay, Gauthier Doquire, Michel Verleysen
2013	J	`jnl`	Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. Neurocomputing John Aldo Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen
2013	—	`conf`	User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data. VAMP@EuroVis Emilie Renard, Pierre Dupont, Michel Verleysen
2012	—	`conf`	A Comparison of Multivariate Mutual Information Estimators for Feature Selection. ICPRAM (1) Gauthier Doquire, Michel Verleysen
2012	B	`conf`	Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. ESANN Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen
2012	J	`jnl`	Feature selection with missing data using mutual information estimators. Neurocomputing Gauthier Doquire, Michel Verleysen
2012	—	`conf`	Handling Imprecise Labels in Feature Selection with Graph Laplacian. ICPRAM (1) Gauthier Doquire, Michel Verleysen
2012	B	`conf`	Incremental feature building and classification for image segmentation. ESANN Guillaume Bernard, Michel Verleysen, John Aldo Lee
2012	J	`jnl`	Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel
2012	B	`conf`	On the Potential Inadequacy of Mutual Information for Feature Selection. ESANN Benoît Frénay, Gauthier Doquire, Michel Verleysen
2012	B	`conf`	The stability of feature selection and class prediction from ensemble tree classifiers. ESANN Jérôme Paul, Michel Verleysen, Pierre Dupont
2012	J	`jnl`	Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification. IEEE Trans. Biomed. Eng. Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen
2011	—	`conf`	Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2011	—	`conf`	An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data. KDIR Gauthier Doquire, Michel Verleysen
2011	—	`ch.`	Choosing the Metric: A Simple Model Approach. Meta-Learning in Computational Intelligence Damien François, Vincent Wertz, Michel Verleysen
2011	B	`conf`	Class-Specific Feature Selection for One-Against-All Multiclass SVMs. ESANN Gaël de Lannoy, Damien François, Michel Verleysen
2011	—	`conf`	Dimensionality reduction for EEG classification using Mutual Information and SVM. MLSP Carlos Guerrero-Mosquera, Michel Verleysen, Ángel Navia-Vázquez
2011	—	`conf`	Feature Selection for High-dimensional Data Analysis. IJCCI (NCTA) Michel Verleysen
2011	—	`conf`	Feature Selection for Inter-patient Supervised Heart Beat Classification. BIOSIGNALS Gauthier Doquire, Gaël de Lannoy, Damien François, Michel Verleysen
2011	J	`jnl`	Feature Selection for Interpatient Supervised Heart Beat Classification. Comput. Intell. Neurosci. Gauthier Doquire, Gaël de Lannoy, Damien François, Michel Verleysen
2011	—	`conf`	Feature Selection for Multi-label Classification Problems. IWANN (1) Gauthier Doquire, Michel Verleysen
2011	B	`conf`	Feature Selection with Mutual Information for Uncertain Data. DaWaK Gauthier Doquire, Michel Verleysen
2011	—	`conf`	Graph Laplacian for Semi-supervised Feature Selection in Regression Problems. IWANN (1) Gauthier Doquire, Michel Verleysen
2011	—	`conf`	Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. ECML/PKDD (1) Benoît Frénay, Gaël de Lannoy, Michel Verleysen
2011	J	`jnl`	Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising. Neurocomputing Arnaud de Decker, Damien François, Michel Verleysen, John Aldo Lee
2011	B	`conf`	Mutual information based feature selection for mixed data. ESANN Gauthier Doquire, Michel Verleysen
2011	B	`conf`	Mutual information for feature selection with missing data. ESANN Gauthier Doquire, Michel Verleysen
2011	J	`jnl`	Parameter-insensitive kernel in extreme learning for non-linear support vector regression. Neurocomputing Benoît Frénay, Michel Verleysen
2011	Misc	`conf`	Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. ICCS John Aldo Lee, Michel Verleysen
2010	J	`jnl`	A principled approach to image denoising with similarity kernels involving patches. Neurocomputing Arnaud de Decker, John Aldo Lee, Michel Verleysen
2010	A*	`conf`	Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	B	`conf`	Dimensionality reduction by rank preservation. IJCNN Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen
2010	B	`conf`	Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. ESANN Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, Michel Verleysen
2010	—	`conf`	Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification. BIOSIGNALS Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen
2010	B	`conf`	Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising. ESANN Arnaud de Decker, John Aldo Lee, Damien François, Michel Verleysen
2010	C	`conf`	Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. CIARP Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen
2010	—	`conf`	On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding. COMPSTAT John A. Lee, Michel Verleysen
2010	B	`conf`	Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee
2010	J	`jnl`	Scale-independent quality criteria for dimensionality reduction. Pattern Recognit. Lett. John Aldo Lee, Michel Verleysen
2010	B	`conf`	Self Organizing Star (SOS) for health monitoring. ESANN Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	A*	`conf`	Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille
2010	B	`conf`	Unsupervised dimensionality reduction: Overview and recent advances. IJCNN John Aldo Lee, Michel Verleysen
2010	B	`conf`	Using SVMs with randomised feature spaces: an extreme learning approach. ESANN Benoît Frénay, Michel Verleysen
2010	—	`conf`	Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification. BIOSTEC (Selected Papers) Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen
2009	B	`conf`	Adaptive anisotropic denoising: a bootstrapped procedure. ESANN John Aldo Lee, Arnaud de Decker, Michel Verleysen
2009	J	`jnl`	Advances in Feature Selection with Mutual Information CoRR Michel Verleysen, Fabrice Rossi, Damien François
2009	—	`conf`	Advances in Feature Selection with Mutual Information. Similarity-Based Clustering Michel Verleysen, Fabrice Rossi, Damien François
2009	—	`conf`	Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification. BIOSIGNALS Gaël de Lannoy, Michel Verleysen, Jean Delbeke
2009	—	`conf`	Fault Prediction in Aircraft Engines Using Self-Organizing Maps. WSOM Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen
2009	B	`conf`	Improving the transition modelling in hidden Markov models for ECG segmentation. ESANN Benoît Frénay, Gaël de Lannoy, Michel Verleysen
2009	J	`jnl`	Information-theoretic feature selection for functional data classification. Neurocomputing Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury
2009	J	`jnl`	K nearest neighbours with mutual information for simultaneous classification and missing data imputation. Neurocomputing Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen
2009	J	`jnl`	Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity. Neurocomputing Victor Onclinx, Vincent Wertz, Michel Verleysen
2009	B	`conf`	Patch-based bilateral filter and local m-smoother for image denoising. ESANN Arnaud de Decker, John Aldo Lee, Michel Verleysen
2009	J	`jnl`	Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing John Aldo Lee, Michel Verleysen
2009	J	`jnl`	Residual variance estimation in machine learning. Neurocomputing Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse
2009	—	`conf`	Simbed: Similarity-Based Embedding. ICANN (2) John Aldo Lee, Michel Verleysen
2009	—	`ed.`	Similarity-Based Clustering, Recent Developments and Biomedical Applications [outcome of a Dagstuhl Seminar] Similarity-Based Clustering Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2009	B	`conf`	Supervised variable clustering for classification of NIR spectra. ESANN Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen
2008	J	`jnl`	A Comparative Study of Various Probability Density Estimation Methods for Data Analysis. Int. J. Comput. Intell. Syst. Alex Assenza, Maurizio Valle, Michel Verleysen
2008	—	`conf`	A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG. BIOSIGNALS (1) Gaël de Lannoy, Arnaud de Decker, Michel Verleysen
2008	—	`conf`	A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs. BIOSTEC (Selected Papers) Gaël de Lannoy, Arnaud de Decker, Michel Verleysen
2008	J	`jnl`	A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis CoRR Catherine Krier, Fabrice Rossi, Damien François, Michel Verleysen
2008	—	`conf`	An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis. ICIC (2) Rui Nian, Guangrong Ji, Michel Verleysen
2008	—	`conf`	An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis. FSKD (2) Rui Nian, Guangrong Ji, Michel Verleysen
2008	J	`jnl`	Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. Neurocomputing John Aldo Lee, Frédéric Vrins, Michel Verleysen
2008	J	`jnl`	Collaborative filtering with interlaced generalized linear models. Neurocomputing Nicolas Delannay, Michel Verleysen
2008	B	`conf`	Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. PAKDD Nicolas Delannay, Cédric Archambeau, Michel Verleysen
2008	B	`conf`	K-nearest neighbours based on mutual information for incomplete data classification. ESANN Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen
2008	J	`jnl`	Mixtures of robust probabilistic principal component analyzers. Neurocomputing Cédric Archambeau, Nicolas Delannay, Michel Verleysen
2008	B	`conf`	Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity. ESANN Victor Onclinx, Vincent Wertz, Michel Verleysen
2008	J	`jnl`	On the Risk of Using RÉnyi's Entropy for Blind Source Separation. IEEE Trans. Signal Process. Dinh-Tuan Pham, Frédéric Vrins, Michel Verleysen
2008	—	`conf`	Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. FSDM John Aldo Lee, Michel Verleysen
2008	B	`conf`	Rank-based quality assessment of nonlinear dimensionality reduction. ESANN John Aldo Lee, Michel Verleysen
2008	B	`conf`	Using the Delta Test for Variable Selection. ESANN Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen
2007	—	`conf`	07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2007	—	`conf`	07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2007	J	`jnl`	A Minimum-Range Approach to Blind Extraction of Bounded Sources. IEEE Trans. Neural Networks Frédéric Vrins, John Aldo Lee, Michel Verleysen
2007	B	`conf`	Collaborative Filtering with interlaced Generalized Linear Models. ESANN Nicolas Delannay, Michel Verleysen
2007	J	`jnl`	DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. IEEE Trans. Neural Networks Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil
2007	J	`jnl`	Fast Selection of Spectral Variables with B-Spline Compression CoRR Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen
2007	B	`conf`	Feature clustering and mutual information for the selection of variables in spectral data. ESANN Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen
2007	J	`jnl`	Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen
2007	J	`jnl`	High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. Neurocomputing Geoffroy Simon, Michel Verleysen
2007	Misc	`conf`	Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. IWANN Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury
2007	—	`conf`	Is the General Form of Renyi's Entropy a Contrast for Source Separation? ICA Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen
2007	J	`jnl`	Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation. IEEE Trans. Inf. Theory Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen
2007	B	`conf`	Mixtures of robust probabilistic principal component analyzers. ESANN Cédric Archambeau, Nicolas Delannay, Michel Verleysen
2007	J	`jnl`	Mutual information for the selection of relevant variables in spectrometric nonlinear modelling CoRR Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2007	J	`jnl`	On the use of self-organizing maps to accelerate vector quantization CoRR Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
2007	J	`jnl`	Representation of Functional Data in Neural Networks CoRR Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen
2007	J	`jnl`	Resampling methods for parameter-free and robust feature selection with mutual information CoRR Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen
2007	J	`jnl`	Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen
2007	J	`jnl`	Robust Bayesian clustering. Neural Networks Cédric Archambeau, Michel Verleysen
2007	—	`ed.`	Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007 Similarity-based Clustering and its Application to Medicine and Biology Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2007	J	`jnl`	Statistical tools to assess the reliability of self-organizing maps CoRR Eric de Bodt, Marie Cottrell, Michel Verleysen
2007	J	`jnl`	The Concentration of Fractional Distances. IEEE Trans. Knowl. Data Eng. Damien François, Vincent Wertz, Michel Verleysen
2007	J	`jnl`	Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps CoRR Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2007	J	`jnl`	Time series prediction competition: The CATS benchmark. Neurocomputing Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen
2006	—	`conf`	A Functional Approach to Variable Selection in Spectrometric Problems. ICANN (1) Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen
2006	J	`jnl`	Advances in Self Organising Maps CoRR Marie Cottrell, Michel Verleysen
2006	J	`jnl`	Advances in Self-Organizing Maps. Neural Networks Marie Cottrell, Michel Verleysen
2006	C	`conf`	Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. ISCAS Cédric Archambeau, Maurizio Valle, Alex Assenza, Michel Verleysen
2006	—	`conf`	Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. ICPR (2) Nicolas Delannay, Cédric Archambeau, Michel Verleysen
2006	B	`conf`	Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
2006	—	`conf`	Effective Input Variable Selection for Function Approximation. ICANN (1) Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén
2006	B	`conf`	Lag selection for regression models using high-dimensional mutual information. ESANN Geoffroy Simon, Michel Verleysen
2006	—	`conf`	Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation. ICA Frédéric Vrins, Michel Verleysen
2006	—	`conf`	Minimum Support ICA Using Order Statistics. Part II: Performance Analysis. ICA Frédéric Vrins, Michel Verleysen
2006	J	`jnl`	Mixing and non-mixing local minima of the entropy contrast for blind source separation CoRR Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen
2006	B	`conf`	Non-orthogonal Support Width ICA. ESANN John Aldo Lee, Frédéric Vrins, Michel Verleysen
2006	A*	`conf`	Robust probabilistic projections. ICML Cédric Archambeau, Nicolas Delannay, Michel Verleysen
2006	B	`conf`	The permutation test for feature selection by mutual information. ESANN Damien François, Vincent Wertz, Michel Verleysen
2006	J	`jnl`	Unfolding preprocessing for meaningful time series clustering. Neural Networks Geoffroy Simon, John Aldo Lee, Michel Verleysen
2006	—	`conf`	Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). ICA Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen
2005	—	`conf`	A simple ICA algorithm for non-differentiable contrasts. EUSIPCO John Aldo Lee, Frédéric Vrins, Michel Verleysen
2005	—	`conf`	Can we always trust entropy minima in the ICA context? EUSIPCO Frédéric Vrins, John Aldo Lee, Michel Verleysen
2005	J	`jnl`	Fast bootstrap methodology for regression model selection. Neurocomputing Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
2005	Misc	`conf`	Filtering-Free Blind Separation of Correlated Images. IWANN Frédéric Vrins, John Aldo Lee, Michel Verleysen
2005	J	`jnl`	Information theoretic versus cumulant-based contrasts for multimodal source separation. IEEE Signal Process. Lett. Frédéric Vrins, Michel Verleysen
2005	—	`conf`	LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen
2005	Misc	`conf`	Manifold Constrained Finite Gaussian Mixtures. IWANN Cédric Archambeau, Michel Verleysen
2005	—	`conf`	Manifold Constrained Variational Mixtures. ICANN (2) Cédric Archambeau, Michel Verleysen
2005	B	`conf`	Non-Euclidean metrics for similarity search in noisy datasets. ESANN Damien François, Vincent Wertz, Michel Verleysen
2005	J	`jnl`	Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing John Aldo Lee, Michel Verleysen
2005	J	`jnl`	On the entropy minimization of a linear mixture of variables for source separation. Signal Process. Frédéric Vrins, Michel Verleysen
2005	B	`conf`	Pruned lazy learning models for time series prediction. ESANN Antti Sorjamaa, Amaury Lendasse, Michel Verleysen
2005	J	`jnl`	Representation of functional data in neural networks. Neurocomputing Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen
2005	—	`conf`	SWM: a class of convex contrasts for source separation. ICASSP (5) Frédéric Vrins, Michel Verleysen, Christian Jutten
2005	—	`conf`	Spurious entropy minima for multimodal source separation. ISSPA Dinh-Tuan Pham, Frédéric Vrins, Michel Verleysen
2005	Misc	`conf`	The Curse of Dimensionality in Data Mining and Time Series Prediction. IWANN Michel Verleysen, Damien François
2005	J	`jnl`	Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognit. Lett. Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2005	J	`jnl`	Vector quantization: a weighted version for time-series forecasting. Future Gener. Comput. Syst. Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2005	B	`conf`	clustering using a random walk based distance measure. ESANN Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens
2004	B	`conf`	Double quantization forecasting method for filling missing data in the CATS time series. IJCNN Geoffroy Simon, John Aldo Lee, Michel Verleysen, Marie Cottrell
2004	J	`jnl`	Double quantization of the regressor space for long-term time series prediction: method and proof of stability. Neural Networks Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2004	B	`conf`	Fast bootstrap applied to LS-SVM for long term prediction of time series. IJCNN Amaury Lendasse, Vincent Wertz, Geoffroy Simon, Michel Verleysen
2004	B	`conf`	Fast bootstrap for least-square support vector machines. ESANN Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
2004	B	`conf`	Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN Cédric Archambeau, Frédéric Vrins, Michel Verleysen
2004	B	`conf`	Functional radial basis function networks. ESANN Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen
2004	B	`conf`	How to project 'circular' manifolds using geodesic distances? ESANN John Aldo Lee, Michel Verleysen
2004	—	`conf`	Non-linear ICA by Using Isometric Dimensionality Reduction. ICA John Aldo Lee, Christian Jutten, Michel Verleysen
2004	J	`jnl`	Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing John Aldo Lee, Amaury Lendasse, Michel Verleysen
2004	J	`jnl`	On the use of self-organizing maps to accelerate vector quantization. Neurocomputing Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
2004	J	`jnl`	Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. Artif. Intell. Medicine Cédric Archambeau, Jean Delbeke, Claude Veraart, Michel Verleysen
2004	—	`conf`	Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis. ICA Frédéric Vrins, Christian Jutten, Michel Verleysen
2004	—	`conf`	Supervised Nonparametric Information Theoretic Classification. ICPR (3) Cédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran
2004	B	`conf`	Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? ESANN Frédéric Vrins, Cédric Archambeau, Michel Verleysen
2003	—	`conf`	Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) Geoffroy Simon, Amaury Lendasse, Michel Verleysen
2003	—	`book`	Design of analog fuzzy logic controllers in CMOS technologies - implementation, test and application. Carlos Dualibe, Michel Verleysen, Paul G. A. Jespers
2003	B	`conf`	Fast approximation of the bootstrap for model selection. ESANN Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen
2003	—	`conf`	Improving independent component analysis performances by variable selection. NNSP Frédéric Vrins, John Aldo Lee, Michel Verleysen, Vincent Vigneron, Christian Jutten
2003	B	`conf`	Locally Linear Embedding versus Isotop. ESANN John Aldo Lee, Cédric Archambeau, Michel Verleysen
2003	C	`conf`	Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. ICANN Amaury Lendasse, Vincent Wertz, Michel Verleysen
2003	Misc	`conf`	Nonlinear Time Series Prediction by Weighted Vector Quantization. International Conference on Computational Science Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2003	B	`conf`	On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN Cédric Archambeau, John Aldo Lee, Michel Verleysen
2003	—	`conf`	On the Effects of Dimensionality on Data Analysis with Neural Networks. IWANN (2) Michel Verleysen, Damien François, Geoffroy Simon, Vincent Wertz
2003	J	`jnl`	On the Kernel Widths in Radial-Basis Function Networks. Neural Process. Lett. Nabil Benoudjit, Michel Verleysen
2002	B	`ed.`	10th Eurorean Symposium on Artificial Neural Networks, ESANN 2002, Bruges, Belgium, April 24-26, 2002, Proceedings ESANN Michel Verleysen
2002	J	`jnl`	A CMOS/SOI Single-input PWM Discriminator for Low-voltage Body-implanted Applications. VLSI Design Jader A. De Lima, Sidnei F. Silva, Adriano S. Cordeiro, Michel Verleysen
2002	B	`conf`	Curvilinear Distance Analysis versus Isomap. ESANN John Aldo Lee, Amaury Lendasse, Michel Verleysen
2002	J	`jnl`	Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
2002	C	`conf`	Nonlinear Projection with the Isotop Method. ICANN John Aldo Lee, Michel Verleysen
2002	C	`conf`	Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. ACC Amaury Lendasse, Marie Cottrell, Vincent Wertz, Michel Verleysen
2002	J	`jnl`	Self-organizing maps with recursive neighborhood adaptation. Neural Networks John Aldo Lee, Michel Verleysen
2002	J	`jnl`	Special issue on fundamental and information processing aspects of neurocomputing. Neurocomputing Michel Verleysen, Joos Vandewalle
2002	J	`jnl`	Statistical tools to assess the reliability of self-organizing maps. Neural Networks Eric de Bodt, Marie Cottrell, Michel Verleysen
2002	B	`conf`	Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen
2001	—	`conf`	A Statistical Tool to Assess the Reliability of Self-Organizing Maps. WSOM Marie Cottrell, Eric de Bodt, Michel Verleysen
2001	A	`conf`	Are they really neighbors? A statistical analysis of the SOM algorithm output. AISTATS Eric de Bodt, Marie Cottrell, Michel Verleysen
2001	—	`conf`	Embedded fuzzy control for automatic channel equalization after digital transmissions. ISCAS (3) Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen
2001	B	`conf`	Input data reduction for the prediction of financial time series. ESANN Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen
2001	—	`conf`	On Designing Mixed-Signal Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies. SBCCI Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen
2001	—	`conf`	Recursive learning rules for SOMs. WSOM John A. Lee, Nicolas Donckers, Michel Verleysen
2000	C	`conf`	A 5.26 Mflips programmable analogue fuzzy logic controller in a standard CMOS 2.4 μ technology. ISCAS Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen
2000	C	`conf`	A current-mode CMOS loser-take-all with minimum function for neural computations. ISCAS Nicolas Donckers, Carlos Dualibe, Michel Verleysen
2000	C	`conf`	A low-power silicon-on-insulator PWM discriminator for biomedical applications. ISCAS Jader A. De Lima, Sidnei F. Silva, Adriano S. Cordeiro, Alexandro C. Araujo, Michel Verleysen
2000	B	`conf`	A robust non-linear projection method. ESANN John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen
2000	B	`conf`	Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
1999	B	`conf`	Extraction of intrinsic dimension using CCA - Application to blind sources separation. ESANN Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen
1999	—	`conf`	Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. IWANN (2) Michel Verleysen, Eric de Bodt, Amaury Lendasse
1999	B	`conf`	Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. ESANN Eric de Bodt, Marie Cottrell, Michel Verleysen
1998	B	`conf`	Forecasting time-series by Kohonen classification. ESANN Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire
1998	J	`jnl`	Image compression by self-organized Kohonen map. IEEE Trans. Neural Networks C. Amerijckx, Michel Verleysen, Philippe Thissen, Jean-Didier Legat
1997	B	`ed.`	5th Eurorean Symposium on Artificial Neural Networks, ESANN 1997, Bruges, Belgium, April 16-18, 1997, Proceedings ESANN Michel Verleysen
1997	B	`conf`	Kohonen maps versus vector quantization for data analysis. ESANN Eric de Bodt, Michel Verleysen, Marie Cottrell
1997	J	`jnl`	Placing spline knots in neural networks using splines as activation functions. Neurocomputing Katerina Hlavácková, Michel Verleysen
1995	Misc	`conf`	A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels. IWANN Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat
1995	Misc	`conf`	A VLSI System for Neural Bayesian and LVQ Classification. IWANN Philippe Thissen, Michel Verleysen, Jean-Didier Legat, Jordi Madrenas, Jordi Domínguez
1995	—	`conf`	A statistical neural network for high-dimensional vector classification. ICNN Michel Verleysen, Jean-Luc Voz, Philippe Thissen, Jean-Didier Legat
1995	Misc	`conf`	An Associative Processor Dedicated to Classification by Neural Methods. IWANN Philippe Thissen, Michel Verleysen, Jean-Didier Legat
1995	J	`jnl`	Editorial. Neural Process. Lett. François Blayo, Michel Verleysen
1995	B	`conf`	Suboptimal Bayesian classification by vector quantization with small clusters. ESANN Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat
1994	J	`jnl`	An analog processor architecture for a neural network classifier. IEEE Micro Michel Verleysen, Philippe Thissen, Jean-Luc Voz, Jordi Madrenas
1994	B	`conf`	An optimized RBF network for approximation of functions. ESANN Michel Verleysen, Katerina Hlavácková
1994	J	`jnl`	Editorial. Neural Process. Lett. François Blayo, Michel Verleysen
1994	B	`conf`	Estimation of performance bounds in supervised classification. ESANN Pierre Comon, Jean-Luc Voz, Michel Verleysen
1993	J	`jnl`	Analog implementation of a Kohonen map with on-chip learning. IEEE Trans. Neural Networks Damien Macq, Michel Verleysen, Paul G. A. Jespers, Jean-Didier Legat
1993	B	`conf`	Laplacian pyramid with multilayer perceptrons interpolators. ESANN Benoît Simon, Benoît Macq, Michel Verleysen
1993	Misc	`conf`	Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns. IWANN Michel Verleysen, Philippe Thissen, Jean-Didier Legat
1993	B	`conf`	Optimal decision surfaces in LVQ1 classiffication of patterns. ESANN Michel Verleysen, Philippe Thissen, Jean-Didier Legat
1992	—	`conf`	A real-time VLSI-based architecture for multi-motion estimation. ICPR (4) Jean-Didier Legat, J. P. Cornil, Damien Macq, Michel Verleysen
1992	—	`—`	Neural networks and content-addressable memories for vision: from theory to VLSI. Michel Verleysen
1991	Misc	`conf`	Analog VLSI Synapse Matrix with Enhanced Stochastic Computations. IWANN Michel Verleysen, Paul G. A. Jespers
1989	—	`conf`	An Analog VLSI Architecture for Large Neural Networks. NATO Neurocomputing Michel Verleysen, Paul G. A. Jespers
1989	J	`jnl`	An analog VLSI implementation of Hopfield's neural network. IEEE Micro Michel Verleysen, Paul G. A. Jespers
1989	J	`jnl`	Neural networks for high-storage content-addressable memory: VLSI circuit and learning algorithm. IEEE J. Solid State Circuits Michel Verleysen, Bruno Sirletti, Andre M. Vandemeulebroecke, Paul G. A. Jespers
1988	J	`jnl`	A large VLSI Hopfield network for pattern recognition problems. Neural Networks Michel Verleysen, Bruno Sirletti, Paul G. A. Jespers
1988	J	`jnl`	An algorithm for pattern recognition with VLSI neural networks. Neural Networks Bruno Sirletti, Michel Verleysen, Andre M. Vandemeulebroecke, Paul G. A. Jespers