An algorithm for pattern recognition with VLSI neural networks. - Bruno Sirletti; Michel Verleysen; Andre M. Vandemeulebroecke; Paul G. A. Jespers (Neural Networks, 1988)

A large VLSI Hopfield network for pattern recognition problems. - Michel Verleysen; Bruno Sirletti; Paul G. A. Jespers (Neural Networks, 1988)

An Analog VLSI Architecture for Large Neural Networks. - Michel Verleysen; Paul G. A. Jespers (NATO Neurocomputing, 1989)

An analog VLSI implementation of Hopfield's neural network. - Michel Verleysen; Paul G. A. Jespers (IEEE Micro, 1989)

Neural networks for high-storage content-addressable memory: VLSI circuit and learning algorithm. - Michel Verleysen; Bruno Sirletti; Andre M. Vandemeulebroecke; Paul G. A. Jespers (IEEE J. Solid State Circuits, 1989)

Analog VLSI Synapse Matrix with Enhanced Stochastic Computations. - Michel Verleysen; Paul G. A. Jespers (IWANN, 1991)

A real-time VLSI-based architecture for multi-motion estimation. - Jean-Didier Legat; J. P. Cornil; Damien Macq; Michel Verleysen (ICPR (4), 1992)

Neural networks and content-addressable memories for vision: from theory to VLSI. - Michel Verleysen (1992)

Laplacian pyramid with multilayer perceptrons interpolators. - Benoît Simon; Benoît Macq; Michel Verleysen (ESANN, 1993)

Optimal decision surfaces in LVQ1 classiffication of patterns. - Michel Verleysen; Philippe Thissen; Jean-Didier Legat (ESANN, 1993)

Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns. - Michel Verleysen; Philippe Thissen; Jean-Didier Legat (IWANN, 1993)

Analog implementation of a Kohonen map with on-chip learning. - Damien Macq; Michel Verleysen; Paul G. A. Jespers; Jean-Didier Legat (IEEE Trans. Neural Networks, 1993)

Estimation of performance bounds in supervised classification. - Pierre Comon; Jean-Luc Voz; Michel Verleysen (ESANN, 1994)

An optimized RBF network for approximation of functions. - Michel Verleysen; Katerina Hlavácková (ESANN, 1994)

An analog processor architecture for a neural network classifier. - Michel Verleysen; Philippe Thissen; Jean-Luc Voz; Jordi Madrenas (IEEE Micro, 1994)

Suboptimal Bayesian classification by vector quantization with small clusters. - Jean-Luc Voz; Michel Verleysen; Philippe Thissen; Jean-Didier Legat (ESANN, 1995)

A statistical neural network for high-dimensional vector classification. - Michel Verleysen; Jean-Luc Voz; Philippe Thissen; Jean-Didier Legat (ICNN, 1995)

An Associative Processor Dedicated to Classification by Neural Methods. - Philippe Thissen; Michel Verleysen; Jean-Didier Legat (IWANN, 1995)

A VLSI System for Neural Bayesian and LVQ Classification. - Philippe Thissen; Michel Verleysen; Jean-Didier Legat; Jordi Madrenas; Jordi Domínguez (IWANN, 1995)

A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels. - Jean-Luc Voz; Michel Verleysen; Philippe Thissen; Jean-Didier Legat (IWANN, 1995)

Editorial. - François Blayo; Michel Verleysen (Neural Process. Lett., 1995)

Kohonen maps versus vector quantization for data analysis. - Eric de Bodt; Michel Verleysen; Marie Cottrell (ESANN, 1997)

Placing spline knots in neural networks using splines as activation functions. - Katerina Hlavácková; Michel Verleysen (Neurocomputing, 1997)

Forecasting time-series by Kohonen classification. - Amaury Lendasse; Michel Verleysen; Eric de Bodt; Marie Cottrell; Philippe Grégoire (ESANN, 1998)

Image compression by self-organized Kohonen map. - C. Amerijckx; Michel Verleysen; Philippe Thissen; Jean-Didier Legat (IEEE Trans. Neural Networks, 1998)

Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. - Eric de Bodt; Marie Cottrell; Michel Verleysen (ESANN, 1999)

Extraction of intrinsic dimension using CCA - Application to blind sources separation. - Nicolas Donckers; Amaury Lendasse; Vincent Wertz; Michel Verleysen (ESANN, 1999)

Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. - Michel Verleysen; Eric de Bodt; Amaury Lendasse (IWANN (2), 1999)

A robust non-linear projection method. - John Aldo Lee; Amaury Lendasse; Nicolas Donckers; Michel Verleysen (ESANN, 2000)

Time series forecasting using CCA and Kohonen maps - application to electricity consumption. - Amaury Lendasse; John Aldo Lee; Vincent Wertz; Michel Verleysen (ESANN, 2000)

A current-mode CMOS loser-take-all with minimum function for neural computations. - Nicolas Donckers; Carlos Dualibe; Michel Verleysen (ISCAS, 2000)

A 5.26 Mflips programmable analogue fuzzy logic controller in a standard CMOS 2.4 μ technology. - Carlos Dualibe; Paul G. A. Jespers; Michel Verleysen (ISCAS, 2000)

A low-power silicon-on-insulator PWM discriminator for biomedical applications. - Jader A. De Lima; Sidnei F. Silva; Adriano S. Cordeiro; Alexandro C. Araujo; Michel Verleysen (ISCAS, 2000)

Are they really neighbors? A statistical analysis of the SOM algorithm output. - Eric de Bodt; Marie Cottrell; Michel Verleysen (AISTATS, 2001)

Input data reduction for the prediction of financial time series. - Amaury Lendasse; John Aldo Lee; Eric de Bodt; Vincent Wertz; Michel Verleysen (ESANN, 2001)

Embedded fuzzy control for automatic channel equalization after digital transmissions. - Carlos Dualibe; Paul G. A. Jespers; Michel Verleysen (ISCAS (3), 2001)

On Designing Mixed-Signal Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies. - Carlos Dualibe; Paul G. A. Jespers; Michel Verleysen (SBCCI, 2001)

A Statistical Tool to Assess the Reliability of Self-Organizing Maps. - Marie Cottrell; Eric de Bodt; Michel Verleysen (WSOM, 2001)

Recursive learning rules for SOMs. - John A. Lee 001; Nicolas Donckers; Michel Verleysen (WSOM, 2001)

Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. - Amaury Lendasse; Marie Cottrell; Vincent Wertz; Michel Verleysen (ACC, 2002)

Width optimization of the Gaussian kernels in Radial Basis Function Networks. - Nabil Benoudjit; Cédric Archambeau; Amaury Lendasse; John Aldo Lee; Michel Verleysen (ESANN, 2002)

Curvilinear Distance Analysis versus Isomap. - John Aldo Lee; Amaury Lendasse; Michel Verleysen (ESANN, 2002)

Nonlinear Projection with the Isotop Method. - John Aldo Lee; Michel Verleysen (ICANN, 2002)

Forecasting electricity consumption using nonlinear projection and self-organizing maps. - Amaury Lendasse; John Aldo Lee; Vincent Wertz; Michel Verleysen (Neurocomputing, 2002)

Special issue on fundamental and information processing aspects of neurocomputing. - Michel Verleysen; Joos Vandewalle (Neurocomputing, 2002)

Statistical tools to assess the reliability of self-organizing maps. - Eric de Bodt; Marie Cottrell; Michel Verleysen (Neural Networks, 2002)

Self-organizing maps with recursive neighborhood adaptation. - John Aldo Lee; Michel Verleysen (Neural Networks, 2002)

A CMOS/SOI Single-input PWM Discriminator for Low-voltage Body-implanted Applications. - Jader A. De Lima; Sidnei F. Silva; Adriano S. Cordeiro; Michel Verleysen (VLSI Design, 2002)

Design of analog fuzzy logic controllers in CMOS technologies - implementation, test and application. - Carlos Dualibe; Michel Verleysen; Paul G. A. Jespers (Kluwer, 2003)

On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. - Cédric Archambeau; John Aldo Lee; Michel Verleysen (ESANN, 2003)

Locally Linear Embedding versus Isotop. - John Aldo Lee; Cédric Archambeau; Michel Verleysen (ESANN, 2003)

Fast approximation of the bootstrap for model selection. - Geoffroy Simon; Amaury Lendasse; Vincent Wertz; Michel Verleysen (ESANN, 2003)

Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. - Amaury Lendasse; Vincent Wertz; Michel Verleysen (ICANN, 2003)

Nonlinear Time Series Prediction by Weighted Vector Quantization. - Amaury Lendasse; Damien François; Vincent Wertz; Michel Verleysen (International Conference on Computational Science, 2003)

Bootstrap for Model Selection: Linear Approximation of the Optimism. - Geoffroy Simon; Amaury Lendasse; Michel Verleysen (IWANN (1), 2003)

On the Effects of Dimensionality on Data Analysis with Neural Networks. - Michel Verleysen; Damien François; Geoffroy Simon; Vincent Wertz (IWANN (2), 2003)

Improving independent component analysis performances by variable selection. - Frédéric Vrins; John Aldo Lee; Michel Verleysen; Vincent Vigneron; Christian Jutten (NNSP, 2003)

On the Kernel Widths in Radial-Basis Function Networks. - Nabil Benoudjit; Michel Verleysen (Neural Process. Lett., 2003)

Flexible and Robust Bayesian Classification by Finite Mixture Models. - Cédric Archambeau; Frédéric Vrins; Michel Verleysen (ESANN, 2004)

Functional radial basis function networks. - Nicolas Delannay; Fabrice Rossi; Brieuc Conan-Guez; Michel Verleysen (ESANN, 2004)

How to project 'circular' manifolds using geodesic distances? - John Aldo Lee; Michel Verleysen (ESANN, 2004)

Fast bootstrap for least-square support vector machines. - Amaury Lendasse; Geoffroy Simon; Vincent Wertz; Michel Verleysen (ESANN, 2004)

Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? - Frédéric Vrins; Cédric Archambeau; Michel Verleysen (ESANN, 2004)

Non-linear ICA by Using Isometric Dimensionality Reduction. - John Aldo Lee; Christian Jutten; Michel Verleysen (ICA, 2004)

Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis. - Frédéric Vrins; Christian Jutten; Michel Verleysen (ICA, 2004)

Supervised Nonparametric Information Theoretic Classification. - Cédric Archambeau; Torsten Butz; Vlad Popovici; Michel Verleysen; Jean-Philippe Thiran (ICPR (3), 2004)

Fast bootstrap applied to LS-SVM for long term prediction of time series. - Amaury Lendasse; Vincent Wertz; Geoffroy Simon; Michel Verleysen (IJCNN, 2004)

Double quantization forecasting method for filling missing data in the CATS time series. - Geoffroy Simon; John Aldo Lee; Michel Verleysen; Marie Cottrell (IJCNN, 2004)

Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. - Cédric Archambeau; Jean Delbeke; Claude Veraart; Michel Verleysen (Artif. Intell. Medicine, 2004)

On the use of self-organizing maps to accelerate vector quantization. - Eric de Bodt; Marie Cottrell; Patrick Letrémy; Michel Verleysen (Neurocomputing, 2004)

Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. - John Aldo Lee; Amaury Lendasse; Michel Verleysen (Neurocomputing, 2004)

Double quantization of the regressor space for long-term time series prediction: method and proof of stability. - Geoffroy Simon; Amaury Lendasse; Marie Cottrell; Jean-Claude Fort; Michel Verleysen (Neural Networks, 2004)

Non-Euclidean metrics for similarity search in noisy datasets. - Damien François; Vincent Wertz; Michel Verleysen (ESANN, 2005)

Pruned lazy learning models for time series prediction. - Antti Sorjamaa; Amaury Lendasse; Michel Verleysen (ESANN, 2005)

clustering using a random walk based distance measure. - Luh Yen; Denis Vanvyve; Fabien Wouters; François Fouss; Michel Verleysen; Marco Saerens (ESANN, 2005)

A simple ICA algorithm for non-differentiable contrasts. - John Aldo Lee; Frédéric Vrins; Michel Verleysen (EUSIPCO, 2005)

Can we always trust entropy minima in the ICA context? - Frédéric Vrins; John Aldo Lee; Michel Verleysen (EUSIPCO, 2005)

Manifold Constrained Variational Mixtures. - Cédric Archambeau; Michel Verleysen (ICANN (2), 2005)

LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. - Amaury Lendasse; Yongnan Ji; Nima Reyhani; Michel Verleysen (ICANN (2), 2005)

SWM: a class of convex contrasts for source separation. - Frédéric Vrins; Michel Verleysen; Christian Jutten (ICASSP (5), 2005)

Spurious entropy minima for multimodal source separation. - Dinh-Tuan Pham; Frédéric Vrins; Michel Verleysen (ISSPA, 2005)

Manifold Constrained Finite Gaussian Mixtures. - Cédric Archambeau; Michel Verleysen (IWANN, 2005)

The Curse of Dimensionality in Data Mining and Time Series Prediction. - Michel Verleysen; Damien François (IWANN, 2005)

Filtering-Free Blind Separation of Correlated Images. - Frédéric Vrins; John Aldo Lee; Michel Verleysen (IWANN, 2005)

Vector quantization: a weighted version for time-series forecasting. - Amaury Lendasse; Damien François; Vincent Wertz; Michel Verleysen (Future Gener. Comput. Syst., 2005)

Nonlinear dimensionality reduction of data manifolds with essential loops. - John Aldo Lee; Michel Verleysen (Neurocomputing, 2005)

Fast bootstrap methodology for regression model selection. - Amaury Lendasse; Geoffroy Simon; Vincent Wertz; Michel Verleysen (Neurocomputing, 2005)

Representation of functional data in neural networks. - Fabrice Rossi; Nicolas Delannay; Brieuc Conan-Guez; Michel Verleysen (Neurocomputing, 2005)

Time series forecasting: Obtaining long term trends with self-organizing maps. - Geoffroy Simon; Amaury Lendasse; Marie Cottrell; Jean-Claude Fort; Michel Verleysen (Pattern Recognit. Lett., 2005)

On the entropy minimization of a linear mixture of variables for source separation. - Frédéric Vrins; Michel Verleysen (Signal Process., 2005)

Information theoretic versus cumulant-based contrasts for multimodal source separation. - Frédéric Vrins; Michel Verleysen (IEEE Signal Process. Lett., 2005)

The permutation test for feature selection by mutual information. - Damien François; Vincent Wertz; Michel Verleysen (ESANN, 2006)

Non-orthogonal Support Width ICA. - John Aldo Lee; Frédéric Vrins; Michel Verleysen (ESANN, 2006)

Determination of the Mahalanobis matrix using nonparametric noise estimations. - Amaury Lendasse; Francesco Corona; Jin Hao; Nima Reyhani; Michel Verleysen (ESANN, 2006)

Lag selection for regression models using high-dimensional mutual information. - Geoffroy Simon; Michel Verleysen (ESANN, 2006)

Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). - Frédéric Vrins; Deniz Erdogmus; Christian Jutten; Michel Verleysen (ICA, 2006)

Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation. - Frédéric Vrins; Michel Verleysen (ICA, 2006)

Minimum Support ICA Using Order Statistics. Part II: Performance Analysis. - Frédéric Vrins; Michel Verleysen (ICA, 2006)

Effective Input Variable Selection for Function Approximation. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Michel Verleysen; Alberto Guillén (ICANN (1), 2006)

A Functional Approach to Variable Selection in Spectrometric Problems. - Fabrice Rossi; Damien François; Vincent Wertz; Michel Verleysen (ICANN (1), 2006)

Robust probabilistic projections. - Cédric Archambeau; Nicolas Delannay; Michel Verleysen (ICML, 2006)

Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. - Nicolas Delannay; Cédric Archambeau; Michel Verleysen (ICPR (2), 2006)

Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. - Cédric Archambeau; Maurizio Valle; Alex Assenza; Michel Verleysen (ISCAS, 2006)

Advances in Self Organising Maps - Marie Cottrell; Michel Verleysen (CoRR, 2006)

Advances in Self-Organizing Maps. - Marie Cottrell; Michel Verleysen (Neural Networks, 2006)

Unfolding preprocessing for meaningful time series clustering. - Geoffroy Simon; John Aldo Lee; Michel Verleysen (Neural Networks, 2006)

07131 Summary – Similarity-based Clustering and its Application to Medicine and Biology. - Michael Biehl; Barbara Hammer; Michel Verleysen; Thomas Villmann (Similarity-based Clustering and its Application to Medicine and Biology, 2007)

07131 Abstracts Collection – Similarity-based Clustering and its Application to Medicine and Biology. - Michael Biehl; Barbara Hammer; Michel Verleysen; Thomas Villmann (Similarity-based Clustering and its Application to Medicine and Biology, 2007)

Feature clustering and mutual information for the selection of variables in spectral data. - Catherine Krier; Damien François; Fabrice Rossi; Michel Verleysen (ESANN, 2007)

Is the General Form of Renyi's Entropy a Contrast for Source Separation? - Frédéric Vrins; Dinh-Tuan Pham; Michel Verleysen (ICA, 2007)

Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. - Vanessa Gómez-Verdejo; Michel Verleysen; Jérôme Fleury (IWANN, 2007)

Mutual information for the selection of relevant variables in spectrometric nonlinear modelling - Fabrice Rossi; Amaury Lendasse; Damien François; Vincent Wertz; Michel Verleysen (CoRR, 2007)

Fast Selection of Spectral Variables with B-Spline Compression - Fabrice Rossi; Damien François; Vincent Wertz; Marc Meurens; Michel Verleysen (CoRR, 2007)

Resampling methods for parameter-free and robust feature selection with mutual information. - Damien François; Fabrice Rossi; Vincent Wertz; Michel Verleysen (Neurocomputing, 2007)

Time series prediction competition: The CATS benchmark. - Amaury Lendasse; Erkki Oja; Olli Simula; Michel Verleysen (Neurocomputing, 2007)

Forecasting the CATS benchmark with the Double Vector Quantization method. - Geoffroy Simon; John Aldo Lee; Marie Cottrell; Michel Verleysen (Neurocomputing, 2007)

High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. - Geoffroy Simon; Michel Verleysen (Neurocomputing, 2007)

Robust Bayesian clustering. - Cédric Archambeau; Michel Verleysen (Neural Networks, 2007)

Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation. - Frédéric Vrins; Dinh-Tuan Pham; Michel Verleysen (IEEE Trans. Inf. Theory, 2007)

The Concentration of Fractional Distances. - Damien François; Vincent Wertz; Michel Verleysen (IEEE Trans. Knowl. Data Eng., 2007)

DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. - Sylvain Lespinats; Michel Verleysen; Alain Giron; Bernard Fertil (IEEE Trans. Neural Networks, 2007)

A Minimum-Range Approach to Blind Extraction of Bounded Sources. - Frédéric Vrins; John Aldo Lee; Michel Verleysen (IEEE Trans. Neural Networks, 2007)

A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG. - Gaël de Lannoy; Arnaud de Decker; Michel Verleysen (BIOSIGNALS (1), 2008)

A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs. - Gaël de Lannoy; Arnaud de Decker; Michel Verleysen (BIOSTEC (Selected Papers), 2008)

Using the Delta Test for Variable Selection. - Emil Eirola; Elia Liitiäinen; Amaury Lendasse; Francesco Corona; Michel Verleysen (ESANN, 2008)

K-nearest neighbours based on mutual information for incomplete data classification. - Pedro J. García-Laencina; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal; Michel Verleysen (ESANN, 2008)

Rank-based quality assessment of nonlinear dimensionality reduction. - John Aldo Lee; Michel Verleysen (ESANN, 2008)

Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity. - Victor Onclinx; Vincent Wertz; Michel Verleysen (ESANN, 2008)

An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis. - Rui Nian; Guangrong Ji; Michel Verleysen (FSKD (2), 2008)

An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis. - Rui Nian; Guangrong Ji; Michel Verleysen (ICIC (2), 2008)

Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. - Nicolas Delannay; Cédric Archambeau; Michel Verleysen (PAKDD, 2008)

A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis - Catherine Krier; Fabrice Rossi; Damien François; Michel Verleysen (CoRR, 2008)

A Comparative Study of Various Probability Density Estimation Methods for Data Analysis. - Alex Assenza; Maurizio Valle; Michel Verleysen (Int. J. Comput. Intell. Syst., 2008)

Mixtures of robust probabilistic principal component analyzers. - Cédric Archambeau; Nicolas Delannay; Michel Verleysen (Neurocomputing, 2008)

Collaborative filtering with interlaced generalized linear models. - Nicolas Delannay; Michel Verleysen (Neurocomputing, 2008)

Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. - John Aldo Lee; Frédéric Vrins; Michel Verleysen (Neurocomputing, 2008)

Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. - John Aldo Lee; Michel Verleysen (FSDM, 2008)

On the Risk of Using RÉnyi's Entropy for Blind Source Separation. - Dinh-Tuan Pham; Frédéric Vrins; Michel Verleysen (IEEE Trans. Signal Process., 2008)

Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification. - Gaël de Lannoy; Michel Verleysen; Jean Delbeke (BIOSIGNALS, 2009)

Advances in Feature Selection with Mutual Information. - Michel Verleysen; Fabrice Rossi; Damien François (Similarity-Based Clustering, 2009)

Patch-based bilateral filter and local m-smoother for image denoising. - Arnaud de Decker; John Aldo Lee; Michel Verleysen (ESANN, 2009)

Improving the transition modelling in hidden Markov models for ECG segmentation. - Benoît Frénay; Gaël de Lannoy; Michel Verleysen (ESANN, 2009)

Supervised variable clustering for classification of NIR spectra. - Catherine Krier; Damien François; Fabrice Rossi; Michel Verleysen (ESANN, 2009)

Adaptive anisotropic denoising: a bootstrapped procedure. - John Aldo Lee; Arnaud de Decker; Michel Verleysen (ESANN, 2009)

Simbed: Similarity-Based Embedding. - John Aldo Lee; Michel Verleysen (ICANN (2), 2009)

Fault Prediction in Aircraft Engines Using Self-Organizing Maps. - Marie Cottrell; Patrice Gaubert; Cédric Eloy; Damien François; Geoffroy Hallaux; Jérôme Lacaille; Michel Verleysen (WSOM, 2009)

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 (Neurocomputing, 2009)

Information-theoretic feature selection for functional data classification. - Vanessa Gómez-Verdejo; Michel Verleysen; Jérôme Fleury (Neurocomputing, 2009)

Quality assessment of dimensionality reduction: Rank-based criteria. - John Aldo Lee; Michel Verleysen (Neurocomputing, 2009)

Residual variance estimation in machine learning. - Elia Liitiäinen; Michel Verleysen; Francesco Corona; Amaury Lendasse (Neurocomputing, 2009)

Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity. - Victor Onclinx; Vincent Wertz; Michel Verleysen (Neurocomputing, 2009)

Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification. - Gaël de Lannoy; Damien François; Jean Delbeke; Michel Verleysen (BIOSIGNALS, 2010)

Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification. - Gaël de Lannoy; Damien François; Jean Delbeke; Michel Verleysen (BIOSTEC (Selected Papers), 2010)

Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. - Frederico Coelho; Antônio de Pádua Braga; Michel Verleysen (CIARP, 2010)

On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding. - John A. Lee 001; Michel Verleysen (COMPSTAT, 2010)

Self Organizing Star (SOS) for health monitoring. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (ESANN, 2010)

Using SVMs with randomised feature spaces: an extreme learning approach. - Benoît Frénay; Michel Verleysen (ESANN, 2010)

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. - Yoan Miche; Emil Eirola; Patrick Bas; Olli Simula; Christian Jutten; Amaury Lendasse; Michel Verleysen (ESANN, 2010)

Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. - Axel Wismüller; Michel Verleysen; Michaël Aupetit 001; John Aldo Lee (ESANN, 2010)

Unsupervised dimensionality reduction: Overview and recent advances. - John Aldo Lee; Michel Verleysen (IJCNN, 2010)

Dimensionality reduction by rank preservation. - Victor Onclinx; John Aldo Lee; Vincent Wertz; Michel Verleysen (IJCNN, 2010)

Aircraft Engine Health Monitoring Using Self-Organizing Maps. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (ICDM, 2010)

Trajectory Clustering for Vibration Detection in Aircraft Engines. - Aurélien Hazan; Michel Verleysen; Marie Cottrell; Jérôme Lacaille (ICDM, 2010)

A principled approach to image denoising with similarity kernels involving patches. - Arnaud de Decker; John Aldo Lee; Michel Verleysen (Neurocomputing, 2010)

Scale-independent quality criteria for dimensionality reduction. - John Aldo Lee; Michel Verleysen (Pattern Recognit. Lett., 2010)

Feature Selection for Inter-patient Supervised Heart Beat Classification. - Gauthier Doquire; Gaël de Lannoy; Damien François; Michel Verleysen (BIOSIGNALS, 2011)

Feature Selection with Mutual Information for Uncertain Data. - Gauthier Doquire; Michel Verleysen (DaWaK, 2011)

Mutual information for feature selection with missing data. - Gauthier Doquire; Michel Verleysen (ESANN, 2011)

Mutual information based feature selection for mixed data. - Gauthier Doquire; Michel Verleysen (ESANN, 2011)

Class-Specific Feature Selection for One-Against-All Multiclass SVMs. - Gaël de Lannoy; Damien François; Michel Verleysen (ESANN, 2011)

An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data. - Gauthier Doquire; Michel Verleysen (KDIR, 2011)

Feature Selection for High-dimensional Data Analysis. - Michel Verleysen (IJCCI (NCTA), 2011)

Feature Selection for Multi-label Classification Problems. - Gauthier Doquire; Michel Verleysen (IWANN (1), 2011)

Graph Laplacian for Semi-supervised Feature Selection in Regression Problems. - Gauthier Doquire; Michel Verleysen (IWANN (1), 2011)

Dimensionality reduction for EEG classification using Mutual Information and SVM. - Carlos Guerrero-Mosquera; Michel Verleysen; Ángel Navia-Vázquez (MLSP, 2011)

Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. - Benoît Frénay; Gaël de Lannoy; Michel Verleysen (ECML/PKDD (1), 2011)

Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (WSOM, 2011)

Feature Selection for Interpatient Supervised Heart Beat Classification. - Gauthier Doquire; Gaël de Lannoy; Damien François; Michel Verleysen (Comput. Intell. Neurosci., 2011)

Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising. - Arnaud de Decker; Damien François; Michel Verleysen; John Aldo Lee (Neurocomputing, 2011)

Parameter-insensitive kernel in extreme learning for non-linear support vector regression. - Benoît Frénay; Michel Verleysen (Neurocomputing, 2011)

Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. - John Aldo Lee; Michel Verleysen (ICCS, 2011)

Choosing the Metric: A Simple Model Approach. - Damien François; Vincent Wertz; Michel Verleysen (Meta-Learning in Computational Intelligence, 2011)

Incremental feature building and classification for image segmentation. - Guillaume Bernard 001; Michel Verleysen; John Aldo Lee (ESANN, 2012)

Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. - Frederico Coelho; Antônio de Pádua Braga; Michel Verleysen (ESANN, 2012)

On the Potential Inadequacy of Mutual Information for Feature Selection. - Benoît Frénay; Gauthier Doquire; Michel Verleysen (ESANN, 2012)

The stability of feature selection and class prediction from ensemble tree classifiers. - Jérôme Paul; Michel Verleysen; Pierre Dupont (ESANN, 2012)

Handling Imprecise Labels in Feature Selection with Graph Laplacian. - Gauthier Doquire; Michel Verleysen (ICPRAM (1), 2012)

A Comparison of Multivariate Mutual Information Estimators for Feature Selection. - Gauthier Doquire; Michel Verleysen (ICPRAM (1), 2012)

Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). - Daniel A. Keim; Fabrice Rossi; Thomas Seidl 001; Michel Verleysen; Stefan Wrobel (Dagstuhl Reports, 2012)

Feature selection with missing data using mutual information estimators. - Gauthier Doquire; Michel Verleysen (Neurocomputing, 2012)

Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification. - Gaël de Lannoy; Damien François; Jean Delbeke; Michel Verleysen (IEEE Trans. Biomed. Eng., 2012)

Risk Estimation and Feature Selection. - Gauthier Doquire; Benoît Frénay; Michel Verleysen (ESANN, 2013)

Sensitivity to parameter and data variations in dimensionality reduction techniques. - Francisco J. García-Fernández; Michel Verleysen; John Aldo Lee; Ignacio Díaz Blanco (ESANN, 2013)

Segmentation with Incremental Classifiers. - Guillaume Bernard 001; Michel Verleysen; John Aldo Lee (ICIAP (2), 2013)

Nonlinear Dimensionality Reduction for Visualization. - Michel Verleysen; John Aldo Lee (ICONIP (1), 2013)

Improving projection-based data analysis by feature space transformations. - Matthias Schäfer 001; Leishi Zhang; Tobias Schreck; Andrada Tatu; John Aldo Lee; Michel Verleysen; Daniel A. Keim (Visualization and Data Analysis, 2013)

Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations. - Francisco J. García-Fernández; Michel Verleysen; John A. Lee 001; Ignacio Díaz Blanco (VAMP@EuroVis, 2013)

User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data. - Emilie Renard; Pierre Dupont; Michel Verleysen (VAMP@EuroVis, 2013)

A graph Laplacian based approach to semi-supervised feature selection for regression problems. - Gauthier Doquire; Michel Verleysen (Neurocomputing, 2013)

Mutual information-based feature selection for multilabel classification. - Gauthier Doquire; Michel Verleysen (Neurocomputing, 2013)

Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. - Benoît Frénay; Gauthier Doquire; Michel Verleysen (Neurocomputing, 2013)

Feature selection for nonlinear models with extreme learning machines. - Benoît Frénay; Mark van Heeswijk; Yoan Miche; Michel Verleysen; Amaury Lendasse (Neurocomputing, 2013)

Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. - John Aldo Lee; Emilie Renard; Guillaume Bernard 001; Pierre Dupont; Michel Verleysen (Neurocomputing, 2013)

Distance estimation in numerical data sets with missing values. - Emil Eirola; Gauthier Doquire; Michel Verleysen; Amaury Lendasse (Inf. Sci., 2013)

Is mutual information adequate for feature selection in regression? - Benoît Frénay; Gauthier Doquire; Michel Verleysen (Neural Networks, 2013)

Two key properties of dimensionality reduction methods. - John Aldo Lee; Michel Verleysen (CIDM, 2014)

Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen (CIDM, 2014)

Support Vector Machines for Improved IP Detection with Soft Physical Hash Functions. - Ludovic-Henri Gustin; François Durvaux; Stéphanie Kerckhof; François-Xavier Standaert; Michel Verleysen (COSADE, 2014)

Interactive dimensionality reduction for visual analytics. - Ignacio Díaz Blanco; Abel Alberto Cuadrado Vega; Daniel Pérez 001; Francisco J. García-Fernández; Michel Verleysen (ESANN, 2014)

Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. - John Aldo Lee; Diego Hernán Peluffo-Ordóñez; Michel Verleysen (ESANN, 2014)

Recent methods for dimensionality reduction: A brief comparative analysis. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen (ESANN, 2014)

Automatic correction of SVM for drifted data classification. - Alexandra Degeest; Benoît Frénay; Michel Verleysen (EGC, 2014)

Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen; José L. Rodríguez; Germán Castellanos-Domínguez (ICPRAM, 2014)

The delta test: The 1-NN estimator as a feature selection criterion. - Emil Eirola; Amaury Lendasse; Francesco Corona; Michel Verleysen (IJCNN, 2014)

Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen (WSOM, 2014)

Estimating mutual information for feature selection in the presence of label noise. - Benoît Frénay; Gauthier Doquire; Michel Verleysen (Comput. Stat. Data Anal., 2014)

Pointwise probability reinforcements for robust statistical inference. - Benoît Frénay; Michel Verleysen (Neural Networks, 2014)

Classification in the Presence of Label Noise: A Survey. - Benoît Frénay; Michel Verleysen (IEEE Trans. Neural Networks Learn. Syst., 2014)

Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. - Lieven Billiet; Borbála Hunyadi; Vladimir Matic; Sabine Van Huffel; Michel Verleysen; Maarten De Vos (BIOSIGNALS, 2015)

Geometrical homotopy for data visualization. - Diego Hernán Peluffo-Ordóñez; Juan Carlos Alvarado-Pérez; John Aldo Lee; Michel Verleysen (ESANN, 2015)

Feature ranking in changing environments where new features are introduced. - Alexandra Degeest; Michel Verleysen; Benoît Frénay (IJCNN, 2015)

Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). - Daniel A. Keim; Tamara Munzner; Fabrice Rossi; Michel Verleysen (Dagstuhl Reports, 2015)

Incremental classification of objects in scenes: Application to the delineation of images. - Guillaume Bernard 001; Michel Verleysen; John Aldo Lee (Neurocomputing, 2015)

Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. - John Aldo Lee; Diego Hernán Peluffo-Ordóñez; Michel Verleysen (Neurocomputing, 2015)

A state-space model on interactive dimensionality reduction. - Ignacio Díaz Blanco; Abel Alberto Cuadrado Vega; Michel Verleysen (ESANN, 2016)

Line Segmentation Approach for Ancient Palm Leaf Manuscripts Using Competitive Learning Algorithm. - Dona Valy; Michel Verleysen; Kimheng Sok (ICFHR, 2016)

Multi-step-ahead forecasting using kernel adaptive filtering. - Sergio García-Vega; Germán Castellanos-Domínguez; Michel Verleysen; John Aldo Lee (IJCNN, 2016)

Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists. - Dimitri de Smet; Marc Francaux; Julien M. Hendrickx; Michel Verleysen (MLSA@PKDD/ECML, 2016)

A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems. - Frederico Coelho; Antônio de Pádua Braga; Michel Verleysen (Int. J. Comput. Intell. Syst., 2016)

Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers. - Benoît Frénay; Michel Verleysen (IEEE Trans. Cybern., 2016)

A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set. - Dona Valy; Michel Verleysen; Sophea Chhun; Jean-Christophe Burie (HIP@ICDAR, 2017)

Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach. - Dimitri de Smet; Michel Verleysen; Marc Francaux (icSPORTS, 2017)

Line segmentation for grayscale text images of khmer palm leaf manuscripts. - Dona Valy; Michel Verleysen; Kimheng Sok (IPTA, 2017)

Improving individual predictions using social networks assortativity. - Dounia Mulders; Cyril de Bodt; Johannes Bjelland; Alex 'Sandy' Pentland; Michel Verleysen; Yves-Alexandre de Montjoye (WSOM, 2017)

Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. - Andrés Marino Álvarez-Meza; John Aldo Lee; Michel Verleysen; Germán Castellanos-Domínguez (Neurocomputing, 2017)

Clustering Smart Card Data for Urban Mobility Analysis. - Mohamed Khalil El Mahrsi; Etienne Côme; Latifa Oukhellou; Michel Verleysen (IEEE Trans. Intell. Transp. Syst., 2017)

Perplexity-free t-SNE and twice Student tt-SNE. - Cyril de Bodt; Dounia Mulders; Michel Verleysen; John A. Lee 001 (ESANN, 2018)

Extensive assessment of Barnes-Hut t-SNE. - Cyril de Bodt; Dounia Mulders; Michel Verleysen; John A. Lee 001 (ESANN, 2018)

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. - Dounia Mulders; Cyril de Bodt; Nicolas Lejeune; André Mouraux; Michel Verleysen (LVA/ICA, 2018)

ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts. - Made Windu Antara Kesiman; Dona Valy; Jean-Christophe Burie; Erick Paulus; Mira Suryani; Setiawan Hadi; Michel Verleysen; Sophea Chhun; Jean-Marc Ogier (ICFHR, 2018)

Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts. - Dona Valy; Michel Verleysen; Sophea Chhun; Jean-Christophe Burie (ICFHR, 2018)

Linear Periodic Discriminant Analysis of Multidimensional Signals. - Dounia Mulders; Cyril de Bodt; Nicolas Lejeune; André Mouraux; Michel Verleysen (ICONIP (6), 2018)

Smoothness Bias in Relevance Estimators for Feature Selection in Regression. - Alexandra Degeest; Michel Verleysen; Benoît Frénay (AIAI, 2018)

Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia. - Made Windu Antara Kesiman; Dona Valy; Jean-Christophe Burie; Erick Paulus; Mira Suryani; Setiawan Hadi; Michel Verleysen; Sophea Chhun; Jean-Marc Ogier (J. Imaging, 2018)

Class-aware t-SNE: cat-SNE. - Cyril de Bodt; Dounia Mulders; Daniel López Sánchez; Michel Verleysen; John A. Lee 001 (ESANN, 2019)

MAP best performances prediction for endurance runners. - Ángel Campo; Marc Francaux; Laurent Baijot; Michel Verleysen (ESANN, 2019)

Tensor factorization to extract patterns in multimodal EEG data. - Dounia Mulders; Cyril de Bodt; Nicolas Lejeune; John A. Lee 001; André Mouraux; Michel Verleysen (ESANN, 2019)

Comparison Between Filter Criteria for Feature Selection in Regression. - Alexandra Degeest; Michel Verleysen; Benoît Frénay (ICANN (2), 2019)

Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model. - Dona Valy; Michel Verleysen; Sophea Chhun (ICPRAM, 2019)

About Filter Criteria for Feature Selection in Regression. - Alexandra Degeest; Michel Verleysen; Benoît Frénay (IWANN (2), 2019)

Semi-supervised relevance index for feature selection. - Frederico Coelho; Cristiano Leite Castro; Antônio P. Braga; Michel Verleysen (Neural Comput. Appl., 2019)

Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. - Cyril de Bodt; Dounia Mulders; Michel Verleysen; John Aldo Lee (IEEE Trans. Neural Networks Learn. Syst., 2019)

Perplexity-free Parametric t-SNE. - Francesco Crecchi; Cyril de Bodt; Michel Verleysen; John A. Lee 001; Davide Bacciu (ESANN, 2020)

Data Augmentation and Text Recognition on Khmer Historical Manuscripts. - Dona Valy; Michel Verleysen; Sophea Chhun (ICFHR, 2020)

Machine Learning with Limited Size Datasets. - Michel Verleysen (PECCS, 2020)

Inference of node attributes from social network assortativity. - Dounia Mulders; Cyril de Bodt; Johannes Bjelland; Alex Pentland; Michel Verleysen; Yves-Alexandre de Montjoye (Neural Comput. Appl., 2020)

LASSO multi-objective learning algorithm for feature selection. - Frederico Coelho; Marcelo Costa; Michel Verleysen; Antônio P. Braga (Soft Comput., 2020)

Stochastic quartet approach for fast multidimensional scaling. - Pierre Lambert; Cyril de Bodt; Michel Verleysen; John A. Lee 001 (ESANN, 2021)

Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. - Pierre Lambert; John A. Lee 001; Michel Verleysen; Cyril de Bodt (ESANN, 2021)

Reading grid for feature selection relevance criteria in regression. - Alexandra Degeest; Benoît Frénay; Michel Verleysen (Pattern Recognit. Lett., 2021)

SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. - Pierre Lambert; Cyril de Bodt; Michel Verleysen; John A. Lee 001 (CoRR, 2022)

SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. - Pierre Lambert; Cyril de Bodt; Michel Verleysen; John A. Lee 001 (Neurocomputing, 2022)

Fast Multiscale Neighbor Embedding. - Cyril de Bodt; Dounia Mulders; Michel Verleysen; John Aldo Lee (IEEE Trans. Neural Networks Learn. Syst., 2022)

On the number of latent representations in deep neural networks for tabular data. - Edouard Couplet; Pierre Lambert; Michel Verleysen; John A. Lee 001; Cyril de Bodt (ESANN, 2023)

Natively Interpretable t-SNE. - Edouard Couplet; Pierre Lambert; Michel Verleysen; Dounia Mulders; John A. Lee 001; Cyril de Bodt (PKDD/ECML Workshops (1), 2023)

The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. - Stef van den Elzen; Gennady L. Andrienko; Natalia V. Andrienko; Brian D. Fisher; Rafael Messias Martins; Jaakko Peltonen; Alexandru C. Telea; Michel Verleysen (IEEE Computer Graphics and Applications, 2023)

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. - Reza Sameni; Frédéric Vrins; Fabienne Parmentier; Christophe Hérail; Vincent Vigneron; Michel Verleysen; Christian Jutten; Mohammad B. Shamsollahi (CoRR, 2023)

Semi-supervised t-SNE with multi-scale neighborhood preservation. - Walter Serna-Serna; Cyril de Bodt; Andrés Marino Álvarez-Meza; John A. Lee 001; Michel Verleysen; Álvaro-Ángel Orozco-Gutiérrez (Neurocomputing, 2023)

Forget early exaggeration in t-SNE: early hierarchization preserves global structure. - John A. Lee 001; Edouard Couplet; Pierre Lambert; Ludovic Journaux; Dounia Mulders; Cyril de Bodt; Michel Verleysen (ESANN, 2024)

Investigating latent representations and generalization in deep neural networks for tabular data. - Edouard Couplet; Pierre Lambert; Michel Verleysen; John A. Lee 001; Cyril de Bodt (Neurocomputing, 2024)