Verleysen, Michel - Microelectronics Laboratory, Université Catholique de Louvain

• Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition
• IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 9, NO. 3, MAY 1998 503 Image Compression by Self-Organized Kohonen Map
• SPURIOUS ENTROPY MINIMA FOR MULTIMODAL SOURCE SEPARATION Dinh-Tuan Pham
• Neurocomputing 71 (2008) 13001310 Collaborative filtering with interlaced generalized linear models
• Using SVMs with randomised feature spaces: an extreme learning approach
• Michel Verleysen: curriculum vitae Personal details
• Neurocomputing 64 (2005) 161181 Fast bootstrap methodology for regression
• Collaborative Filtering with interlaced Generalized Linear Models
• O. Kaynak et al. (Eds.): ICANN/ICONIP 2003, LNCS 2714, pp. 573580, 2003. Springer-Verlag Berlin Heidelberg 2003
• Automatic Adjustment of Discriminant Adaptive Nearest Neighbor Nicolas Delannay, Cedric Archambeau, Michel Verleysen
• Gestion 2000, n3, May-June 2007, pp. 83-102. Gestion 2000, n3, May-June 2007, pp. 83-102.
• ESANN'1993 proceedings -European Symposium on Artificial Neural Networks Brussels (Belgium), 7-8-9 April 1993, D-Facto public., ISBN 2-9600049-0-6, pp. 209-214
• Mutual information for feature selection with missing data
• Forecasting Time-Series by Kohonen Classification
• IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 3, MAY 2007 809 A Minimum-Range Approach to Blind Extraction
• The permutation test for feature selection by mutual information.
• Non-Euclidean metrics for similarity search in noisy datasets
• Neural Networks 20 (2007) 129138 www.elsevier.com/locate/neunet
• Annual Conference of the International FES Society September 13th
• Utilisation de l'information mutuelle pour la slection de variables spectrales avec des modles non-linaires
• D.-S. Huang et al. (Eds.): ICIC 2008, LNAI 5227, pp. 693700, 2008. Springer-Verlag Berlin Heidelberg 2008
• Fast Bootstrap applied to LS-SVM for Long Term Prediction of Time Series
• ACSEG 2005, Connectionist Approaches in Economics and Management Sciences, Aix-en-Provence (France), 17-18 November 2005, pp. 78-89.
• Scale-independent quality criteria for dimensionality reduction John A. Lee a,*,1
• Simbed: Similarity-Based Embedding John A. Lee1,
• Improving the transition modelling in hidden Markov models for ECG segmentation
• Generalization of the Lp norm for time series and its application to Self-Organizing Maps
• International Journal of Computational Systems Atlantis Press
• K nearest neighbours with mutual information for simultaneous classification and missing data imputation$
• Neural Networks 19 (2006) 721722 www.elsevier.com/locate/neunet
• Variance Stabilizing Transformations in Patch-based Bilateral Filters for Poisson Noise Image Denoising
• LE TEST DES METHODES NEURONALES : COMMENT UTILISER LES TECHNIQUES DE REECHANTILLONNAGE ?
• Neurocomputing 67 (2005) 2953 Nonlinear dimensionality reduction of
• Mutual information based feature selection for Gauthier Doquire and Michel Verleysen
• 10mes Journes Europennes Agro-Industrie et Mthodes Statistiques 55 Estimation de redondance
• Chimiomtrie 2007 29 & 30 Novembre 2007 Lyon, France Estimation de redondance conditionnelle par plus proches voisins,
• Entropy Minima and Distribution Structural Modifications in Blind Separation of
• Input Data Reduction for the Prediction of Financial Time Series
• Effective Input Variable Selection for Function Approximation
• Neurocomputing 48 (2002) 12 www.elsevier.com/locate/neucom
• Long-Term Time Series Forecasting Using Self-Organizing Maps: the Double Vector Quantization Method
• Neurocomputing 57 (2004) 4976 www.elsevier.com/locate/neucom
• Double Quantization Forecasting Method for Filling Missing Data in the CATS Time Series
• PRDICTION DE SRIES TEMPORELLES FINANCIRES PAR DOUBLE CARTE DE KOHONEN ET MODLES RBFNS LOCAUX
• Michel Verleysen Non-linear models and model selection for spectral data -1 Non-linear models and model selection
• Workshop on Industrial Microtechnology Applications, 15-16 October 1998, Madrid (Spain), distributed communication An electronic device for nerve stimulation
• A LOW-POWER SILICON-ON-INSULATOR PWM DISCRIMINATOR FOR BIOMEDICAL APPLICATIONS
• Fast Bootstrap for Model Structure Selection A. Lendasse, V. Wertz
• Local Vector-based Models for Sense Discrimination M.-C. de Marneffe, C. Archambeau, P. Dupont, M. Verleysen
• Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs
• 70 IEEE TRANSACTIONSON CIRCUITS AND SYSTEMS-II: ANALOG AND DIGITAL SIGNAL PROCESSING.VOL.43,No. I,JANUARY 1996 Another simulation was made, with the circuit simulated in the
• Class-Specific Feature Selection for One-Against-All Multiclass SVMs
• Dimensionality reduction by rank preservation Victor Onclinx, John A. Lee, Vincent Wertz, and Michel Verleysen
• Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification
• Neurocomputing 64 (2005) 183210 Representation of functional data in neural
• CAN WE ALWAYS TRUST ENTROPY MINIMA IN THE ICA CONTEXT ? Frederic Vrins, John A. Lee and Michel Verleysen
• Supervised Variable Clustering for Classification of NIR Spectra
• 6. Methodology for entrepreneurship research Theme leaders: Bjorn Bjerke and Benoit Gailly
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• Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance
• Time series forecasting: Obtaining long term trends with self-organizing maps
• 1030 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. 3, MARCH 2007 Mixing and Non-Mixing Local Minima of the
• W. Duch et al. (Eds.): ICANN 2005, LNCS 3697, pp. 625 630, 2005. Springer-Verlag Berlin Heidelberg 2005
• SWM : A CLASS OF CONVEX CONTRASTS FOR SOURCE SEPARATION Frederic Vrins, Michel Verleysen
• Mode Estimation in High-dimensional Spaces with Flat-top Kernels: Application to Image Denoising
• ACSEG 2001 proceedings -Connectionist Approaches in Economics and Management Sciences Rennes (France), 22-23 November 2001, pp. 275-283
• European Journal of Economic and Social Systems 15 N 2 (2001) 31-48 EDP Sciences 2002
• ESANN'1993 proceedings -European Symposium on Artificial Neural Networks Brussels (Belgium), 7-8-9 April 1993, D-Facto public., ISBN 2-9600049-0-6, pp. 137-144
• Neurocomputing 48 (2002) 299311 www.elsevier.com/locate/neucom
• ESANN'1995 proceedings -European Symposium on Artificial Neural Networks Brussels (Belgium), 19-20-21 April 1995, D-Facto public., ISBN 2-9600049-3-0, pp. 153-160
• LE PLAN D'AFFAIRES : UN OUTIL POUR L'INVESTISSEUR ? D. Francois(1)
• A SUPERVISED LEARNING APPROACH BASED ON THE CONTINUOUS WAVELET TRANSFORM FOR R SPIKE
• Estimation de la dimension intrinsque d'une srie temporelle et prdiction par une mthode de projection
• A LEAST ABSOLUTE BOUND APPROACH TO ICA --APPLICATION TO THE MLSP 2006 COMPETITION
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• A Statistical Tool to Assess the Reliability of Self-Organizing Maps
• Is the General Form of Renyi's Entropy a Contrast for Source Separation?
• 1 Introduction The analysis of urban built-up areas is a fascinating and complex topic (Batty, 2005;
• On the Kernel Widths in Radial-Basis Function NABIL BENOUDJIT and MICHEL VERLEYSEN
• This survey of the pros and
• Advances in Feature Selection with Mutual Information
• Time series forecasting with SOM and local non-linear models -Application to the DAX30 index prediction
• Manifold Constrained Finite Gaussian Mixtures Cedric Archambeau and Michel Verleysen
• IMPROVING INDEPENDENT COMPONENT ANALYSIS PERFORMANCES BY VARIABLE
• Linear smoothing of FRF for aicraft engine vibration mon-A. Hazan 1, M. Verleysen 1,2, M. Cottrell 1, J. Lacaille 3
• Filtering-Free Blind Separation of Correlated Images
• Forecasting "High" and "Low" of financial time series by Particle systems and Kalman filters
• Systems Analysis Modelling Simulation Vol. 43, No. 11, November 2003, pp. 15291543
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• A SIMPLE ICA ALGORITHM FOR NON-DIFFERENTIABLE CONTRASTS John A. Lee, Frederic Vrins and Michel Verleysen
• Double SOM for long-term time series prediction Geoffroy Simon1
• Visualizing Start-up Firm Trajectories on Kohonen Maps D. Franois1
• Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising
• ESANN'1994 proceedings -European Symposium on Artificial Neural Networks Brussels (Belgium), 20-21-22 April 1994, D-Facto public., ISBN 2-9600049-1-4, pp. 175-180
• Methodos: The explanatory power of models in the social sciences, Louvain-la-Neuve, November 14-16, 1998
• Choosing the Metric: A Simple Model Approach
• Chimiomtrie 2006 30 Novembre 1er Dcembre 2006 Paris, France
• Chimiomtrie 2006 30 Novembre 1er Dcembre 2006 Paris, France
• Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs
• A Functional Approach to Variable Selection in Spectrometric Problems
• Curvilinear Distance Analysis versus Isomap John Aldo Lee
• Proceedings of IWANN'99 International Work-conference on Artificial and Natural Neural Networks, Alicante (Spain), June 2-4, 1999, Springer, Lecture Notes in
• Business Plans Classification with Locally Pruned Lazy Learning Models
• Multiplieur analogique en technologie SOI pour le dcodage de turbo-codes Thibault KERVYN, Nicolas DONCKERS, Michel VERLEYSEN1
• 562 IEEEJOURNALOF SOLID-STATECIRCUITS, VOL. 24, NO. 3, JUNE 1989 Neural Networks for High-Storage
• M. Verleysen Independent Component Analysis (ICA)Independent Component Analysis (ICA)
• Feature Selection for Multi-label Classification Gauthier Doquire and Michel Verleysen
• Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation
• Available online at www.sciencedirect.com 18770509 2011 Published by Elsevier Ltd.
• Unsupervised Models C2.1 Feedforward models
• Time Series Prediction Competition: The CATS Benchmark
• Lag Selection for Regression Models Using High-Dimensional Mutual Information
• Neurocomputing 71 (2008) 12741282 Mixtures of robust probabilistic principal component analyzers
• LABORATOIRE DE MICROLECTRONIQUE /RXYDLQOD1HXYH
• Self Organizing Star (SOS) for health monitoring , M. Cottrell 1
• Functional Radial Basis Function Networks N. Delannay1
• 190 IEEE SIGNAL PROCESSING LETTERS, VOL. 12, NO. 3, MARCH 2005 Information Theoretic versus Cumulant-Based
• R. Franck (ed.), The Explanatory Power of Models, 127-139. 2002 Kluwer Academic Publishers. Printed in the Netherlands.
• J. Vander Sloten, P. Verdonck, M. Nyssen, J. Haueisen (Eds.): ECIFMBE 2008, IFMBE Proceedings 22, pp. 12121216, 2008 www.springerlink.com Springer-Verlag Berlin Heidelberg 2009
• Assessment of probability density estimation methods: Parzen window and Finite Gaussian Mixtures
• Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind
• How to project `circular' manifolds using geodesic distances?
• CLASSIFICATION OF VISUAL SENSATIONS GENERATED ELECTRICALLY IN THE VISUAL FIELD OF THE BLIND
• Graph Laplacian for Semi-supervised Feature Selection in Regression Problems
• Fast Bootstrap for Least-square Support Vector Machines
• Future Generation Computer Systems 21 (2005) 10561067 Vector quantization: a weighted version for time-series forecasting
• M. Verleysen Principal Component Analysis (PCA)Principal Component Analysis (PCA)
• Adaptive anisotropic denoising: a bootstrapped procedure
• FEATURE SCORING BY MUTUAL INFORMATION FOR CLASSIFICATION OF MASS SPECTRA
• MicroNeuro'99 proceedings 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
• An Analog Processor Architecture for a Neural Network Classifier
• K-Nearest Neighbours based on Mutual Information for Incomplete Data Classification
• Bootstrap for model selection: linear approximation of the optimism
• Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning
• Determination of the Mahalanobis Matrix using Nonparametric Noise Estimations
• Random model of vibrations for Foreign Object Damage detection in a civil aircraft engine
• Modelling and Forecasting nancial time series of tick data by functional analysis and neural
• Towards a Local Separation Performances Estimator Using Common ICA Contrast
• Classification of investment funds by self-organizing maps , A. Lendasse1
• A principled approach to image denoising with similarity kernels involving patches
• Abdominal Electrodes Analysis by Statistical Processing for Fetal Electrocardiogram Extraction
• Width optimization of the Gaussian kernels in Radial Basis Function Networks
• Mechanical Systems Signal Processing
• Neurocomputing 70 (2007) 12651275 High-dimensional delay selection for regression models with mutual
• Estimation non paramtrique de bruit pour la construction de modles non linaires en spectromtrie
• IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 5, SEPTEMBER 2007 1265 DD-HDS: A Method for Visualization and
• On the Role and Impact of the Metaparameters in t-distributed Stochastic
• Hindawi Publishing Corporation Computational Intelligence and Neuroscience
• Supervised Nonparametric Information Theoretic Classification Cedric Archambeau
• M. Verleysen NonNon--linear analysis of highlinear analysis of high--
• EMBEDDED FUZZY CONTROL FOR AUTOMATIC CHANNEL EQUALIZATION AFTER DIGITAL TRANSMISSIONS
• Filtering Heart Related Activity from Vagus Nerve Recordings in G. de Lannoy1
• Michel Verleysen Altran 18/11/2002 -1 Artificial Neural Networks
• APPROXIMATION BY RADIAL BASIS FUNCTION NETWORKS
• Using the Delta Test for Variable Selection Emil Eirola1
• Prediction of Electric Load using Kohonen Maps -Application to the Polish Electricity Consumption
• Locally Linear Embedding versus Isotop John Aldo Lee, Cedric Archambeau, Michel Verleysen
• Patch-Based Bilateral Filter and Local M-Smoother for Image Denoising
• Aircraft Engine Health Monitoring Using Self-Organizing Maps
• Spectrophotometric variable selection by mutual information N. Benoudjita,1
• Fast selection of spectral variables with B-spline compression Fabrice Rossi a,, Damien Francois b
• Projection of time series with periodicity on a Victor Onclinx1,2
• Manifold Constrained Variational Mixtures Cedric Archambeau and Michel Verleysen
• M. Verleysen Learning HighLearning High--Dimensional DataDimensional Data
• Information-theoretic feature selection for functional data classification$ Vanessa G omez-Verdejo a,, Michel Verleysen b
• Flexible and Robust Bayesian Classification by Finite Mixture Models
• Minimum Support ICA Using Order Statistics. Part II: Performance Analysis
• On Designing Mixed-Signal Programmable Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies
• Phosphene evaluation in a visual prosthesis with artificial neural networks Cdric Archambeau1
• Signal Processing 85 (2005) 10291044 On the entropy minimization of a linear mixture of
• Comparison of some chemometric tools for metabonomics biomarker identification
• Fully Nonparametric Probability Density Function Estimation with Finite Gaussian Mixture Models
• FEATURE SELECTION FOR INTER-PATIENT SUPERVISED HEART BEAT CLASSIFICATION
• 2002 Special Issue Self-organizing maps with recursive neighborhood adaptation
• Fast approximation of the bootstrap for model selection
• Modelling and Forecasting financial time series of tick data by functional analysis and neural
• A VLSI SYSTEM FOR NEURAL BAYESIAN AND LVQ CLASSIFICATION
• A statistical neural network for high-dimensional vector classi cation
• P.M.A. Sloot et al. (Eds.): ICCS 2003, LNCS 2657, pp. 417426, 2003. Springer-Verlag Berlin Heidelberg 2003
• Trajectory Clustering for Vibration Detection in Aircraft Engines
• IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 56, NO. 10, OCTOBER 2008 4611 On the Risk of Using Rnyi's Entropy for
• Rank-based quality assessment of nonlinear dimensionality reduction
• Functional SOM for variable-length signal windows A. De Decker, G. de Lannoy, M. Verleysen
• JMLR: Workshop and Conference Proceedings 4: 21-35 New challenges for feature selection Quality assessment of nonlinear dimensionality reduction
• A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis
• Information-Theoretic Feature Selection for the Classification of Hysteresis Curves
• Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and
• Pruned Lazy Learning Models for Time Series Prediction
• A 5.26 Mflips Programmable Analogue Fuzzy Logic Controller in a Standard CMOS 2.4 Technology
• Neurocomputing 56 (2004) 187203 www.elsevier.com/locate/neucom
• Chemometric calibration of infrared spectrometers: selection and validation of variables by non-linear models
• LABORATOIRE DE MICROLECTRONIQUE /RXYDLQOD1HXYH
• Non-linear ICA by Using Isometric Dimensionality Reduction
• Clusteringpatternsofurbanbuiltupareaswith curvesoffractalscalingbehavior
• About the locality of kernels in high-dimensional spaces
• Slection de groupes de variables spectrales par information mutuelle grce une reprsentation spline
• FEATURE RELEVANCE ASSESSMENT IN AUTOMATIC INTER-PATIENT HEART BEAT CLASSIFICATION
• CLASSIFICATION ET PREDICTION FONCTIONNELLES D'ACTIFS BOURSIERS EN
• Mixtures of Robust Probabilistic Principal Component Analyzers
• Non-orthogonal Support-Width ICA John A. Lee1
• Neural Networks 19 (2006) 877888 www.elsevier.com/locate/neunet
• Should seed investors read business plans ? D. Francois(1,3)
• Quality assessment of dimensionality reduction: Rank-based criteria John A. Lee ,1,2
• An Unsupervised Gaussian Mixture Classification Mechanism based on Statistical Learning Analysis
• THE GROWTH TRAJECTORIES OF START-UP FIRMS: AN EXPLORATORY STUDY
• Recursive learning rules for SOMs John A. Lee, Nicolas Donckers, and Michel Verleysen
• Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram
• Neurocomputing 70 (2007) 24002409 Forecasting the CATS benchmark with the Double
• J.C. Prncipe and R. Miikkulainen (Eds.): WSOM 2009, LNCS 5629, pp. 3744, 2009. Springer-Verlag Berlin Heidelberg 2009
• A CMOS/SOI Single-input PWM Discriminator for Low-voltage Body-implanted Applications*
• On the effects of dimensionality on data analysis with neural networks
• D-Facto public., ISBN 2-930307-00-5, pp. 13-20B D-Facto public., ISBN 2-930307-00-5, pp. 13-20B
• Une Taxonomie des Trajectoires de Croissance Initiale des Jeunes Entreprises Mahamadou Biga Diambeidou (1,2)
• Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on
• Point mmoire analogique basse tension bas sur l'effet GIDL Nicolas Donckers, Olivier Butaye, Denis Flandre et Michel Verleysen
• 2002 Special Issue Statistical tools to assess the reliability of self-organizing maps
• Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity
• 2 3 4 5 6 7 8 9 10 11 12 Perlarom Abbott
• LABORATOIRE DE MICROLECTRONIQUE /RXYDLQOD1HXYH
• EEG feature selection using mutual information and support vector machine: A comparative analysis
• A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs
• A PRACTICAL VIEW OF SUBOPTIMAL BAYESIAN CLASSIFICATION WITH RADIAL GAUSSIAN KERNELS
• Open questions about similarity search in high-dimensional spaces Damien Francois(1)
• An Empirical Taxonomy of Start-Up Firms Growth Trajectories Mahamadou Biga Diambeidou (1, 3)
• Thursday 19.06.2008 14:00-16:00 CFE08 and ERCIM08 Parallel Session C applied in financial modelling. In particular, attention is paid to value-at-risk estimation by using probabilistic fuzzy systems. A
• Clustering using a random walk based distance , Denis Vanvyve, Fabien Wouters, Francois Fouss1
• Learning high-dimensional data Michel VERLEYSEN
• Nonlinear Projection with the Isotop Method John A. Lee and Michel Verleysen
• The Concentration of Fractional Distances Damien Francois, Vincent Wertz, Member, IEEE, and Michel Verleysen, Senior Member, IEEE
• Independent Component Analysis for face authentication
• 2004 Special Issue Double quantization of the regressor space for long-term time series
• RENPAR'14 / ASF / SYMPA Hamamet, Tunisie, 10 -13 avril 2002
• On the Extraction of the Snore Acoustic Signal by Independent Component Analysis
• LABORATOIRE DE MICROLECTRONIQUE Louvain-la-Neuve
• 162 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, VOL. 36,NO. 5, MAY 1989 A High-Storage Capacity Content-Addressable
• Confrence ACSEG 2000, Paris 155 RDUCTION OF THE DIMENSION FOR FINANCIAL TIME SERIES
• On the need of unfolding preprocessing for time series Geoffroy Simon, John A. Lee, Michel Verleysen
• Calibrage chimiomtrique des spectrophotomtres : slection et validation des variables par modles non-linaires
• Mutual Information for the selection of variables to model enantioselectivity
• J. Cabestany, A. Prieto, and D.F. Sandoval (Eds.): IWANN 2005, LNCS 3512, pp. 758 770, 2005. Springer-Verlag Berlin Heidelberg 2005
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• Michel Verleysen Radial-Basis Function Networks -1 Radial-Basis Function Networks
• European Journal of Economic and Social Systems 14 N 1 (2000) 81-91 EDP Sciences 2000
• Mutual information for the selection of relevant variables in spectrometric nonlinear modelling B
• Feature clustering and mutual information for the selection of variables in spectral data
• Unsupervised Dimensionality Reduction: Overview and Recent Advances
• A CMOS/SOI Continuous-Time Low-Pass gm-C Filter C. Cavalcanti1,2
• Robust Probabilistic Projections Cedric Archambeau cedric.archambeau@uclouvain.be
• Neurocomputing 70 (2007) 12761288 Resampling methods for parameter-free and robust feature selection
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• Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual
• On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
• Learning high-dimensional data Michel VERLEYSEN
• Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS)
• Residual variance estimation in machine learning Elia Liitiainen a,, Michel Verleysen b
• Phosphene Evaluation in a Visual Prosthesis with Artificial Neural Cdric Archambeau1