Michel Verleysen

According to our database1, Michel Verleysen authored at least 232 papers between 1988 and 2018.

Collaborative distances :

Awards

IEEE Fellow

IEEE Fellow 2015, "For contributions to high-dimensional analysis and manifold learning".

Timeline

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Bibliography

2018
Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia.
J. Imaging, 2018

Smoothness Bias in Relevance Estimators for Feature Selection in Regression.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Clustering Smart Card Data for Urban Mobility Analysis.
IEEE Trans. Intelligent Transportation Systems, 2017

Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity.
Neurocomputing, 2017

Improving individual predictions using social networks assortativity.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Line segmentation for grayscale text images of khmer palm leaf manuscripts.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach.
Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support, 2017

A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set.
Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

2016
Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers.
IEEE Trans. Cybernetics, 2016

A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems.
Int. J. Comput. Intell. Syst., 2016

Multi-step-ahead forecasting using kernel adaptive filtering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Line Segmentation Approach for Ancient Palm Leaf Manuscripts Using Competitive Learning Algorithm.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

2015
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure.
Neurocomputing, 2015

Incremental classification of objects in scenes: Application to the delineation of images.
Neurocomputing, 2015

Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101).
Dagstuhl Reports, 2015

Feature ranking in changing environments where new features are introduced.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Single Trial Classification for Mobile BCI - A Multiway Kernel Approach.
Proceedings of the BIOSIGNALS 2015, 2015

2014
Classification in the Presence of Label Noise: A Survey.
IEEE Trans. Neural Netw. Learning Syst., 2014

Pointwise probability reinforcements for robust statistical inference.
Neural Networks, 2014

Estimating mutual information for feature selection in the presence of label noise.
Computational Statistics & Data Analysis, 2014

Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

The delta test: The 1-NN estimator as a feature selection criterion.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance.
Proceedings of the ICPRAM 2014, 2014

Automatic correction of SVM for drifted data classification.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Recent methods for dimensionality reduction: A brief comparative analysis.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Interactive dimensionality reduction for visual analytics.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Support Vector Machines for Improved IP Detection with Soft Physical Hash Functions.
Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2014

Generalized kernel framework for unsupervised spectral methods of dimensionality reduction.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Two key properties of dimensionality reduction methods.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Is mutual information adequate for feature selection in regression?
Neural Networks, 2013

Distance estimation in numerical data sets with missing values.
Inf. Sci., 2013

Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation.
Neurocomputing, 2013

Feature selection for nonlinear models with extreme learning machines.
Neurocomputing, 2013

Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification.
Neurocomputing, 2013

Mutual information-based feature selection for multilabel classification.
Neurocomputing, 2013

A graph Laplacian based approach to semi-supervised feature selection for regression problems.
Neurocomputing, 2013

Improving projection-based data analysis by feature space transformations.
Proceedings of the Visualization and Data Analysis 2013, 2013

Nonlinear Dimensionality Reduction for Visualization.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Segmentation with Incremental Classifiers.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Sensitivity to parameter and data variations in dimensionality reduction techniques.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Risk Estimation and Feature Selection.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification.
IEEE Trans. Biomed. Engineering, 2012

Feature selection with missing data using mutual information estimators.
Neurocomputing, 2012

Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081).
Dagstuhl Reports, 2012

A Comparison of Multivariate Mutual Information Estimators for Feature Selection.
Proceedings of the ICPRAM 2012, 2012

Handling Imprecise Labels in Feature Selection with Graph Laplacian.
Proceedings of the ICPRAM 2012, 2012

The stability of feature selection and class prediction from ensemble tree classifiers.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

On the Potential Inadequacy of Mutual Information for Feature Selection.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Cluster homogeneity as a semi-supervised principle for feature selection using mutual information.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Incremental feature building and classification for image segmentation.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Choosing the Metric: A Simple Model Approach.
Proceedings of the Meta-Learning in Computational Intelligence, 2011

Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants.
Proceedings of the International Conference on Computational Science, 2011

Parameter-insensitive kernel in extreme learning for non-linear support vector regression.
Neurocomputing, 2011

Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising.
Neurocomputing, 2011

Feature Selection for Interpatient Supervised Heart Beat Classification.
Comp. Int. and Neurosc., 2011

Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Dimensionality reduction for EEG classification using Mutual Information and SVM.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Graph Laplacian for Semi-supervised Feature Selection in Regression Problems.
Proceedings of the Advances in Computational Intelligence, 2011

Feature Selection for Multi-label Classification Problems.
Proceedings of the Advances in Computational Intelligence, 2011

Feature Selection for High-dimensional Data Analysis.
Proceedings of the NCTA 2011, 2011

An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data.
Proceedings of the KDIR 2011, 2011

Class-Specific Feature Selection for One-Against-All Multiclass SVMs.
Proceedings of the ESANN 2011, 2011

Mutual information based feature selection for mixed data.
Proceedings of the ESANN 2011, 2011

Mutual information for feature selection with missing data.
Proceedings of the ESANN 2011, 2011

Feature Selection with Mutual Information for Uncertain Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 2011

Feature Selection for Inter-patient Supervised Heart Beat Classification.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Scale-independent quality criteria for dimensionality reduction.
Pattern Recognition Letters, 2010

A principled approach to image denoising with similarity kernels involving patches.
Neurocomputing, 2010

Trajectory Clustering for Vibration Detection in Aircraft Engines.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Aircraft Engine Health Monitoring Using Self-Organizing Maps.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Dimensionality reduction by rank preservation.
Proceedings of the International Joint Conference on Neural Networks, 2010

Unsupervised dimensionality reduction: Overview and recent advances.
Proceedings of the International Joint Conference on Neural Networks, 2010

Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning.
Proceedings of the ESANN 2010, 2010

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs.
Proceedings of the ESANN 2010, 2010

Using SVMs with randomised feature spaces: an extreme learning approach.
Proceedings of the ESANN 2010, 2010

Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising.
Proceedings of the ESANN 2010, 2010

Self Organizing Star (SOS) for health monitoring.
Proceedings of the ESANN 2010, 2010

Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification.
Proceedings of the BIOSIGNALS 2010, 2010

2009
Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity.
Neurocomputing, 2009

Residual variance estimation in machine learning.
Neurocomputing, 2009

Quality assessment of dimensionality reduction: Rank-based criteria.
Neurocomputing, 2009

Information-theoretic feature selection for functional data classification.
Neurocomputing, 2009

K nearest neighbours with mutual information for simultaneous classification and missing data imputation.
Neurocomputing, 2009

Advances in Feature Selection with Mutual Information
CoRR, 2009

Fault Prediction in Aircraft Engines Using Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Simbed: Similarity-Based Embedding.
Proceedings of the Artificial Neural Networks, 2009

Adaptive anisotropic denoising: a bootstrapped procedure.
Proceedings of the ESANN 2009, 2009

Supervised variable clustering for classification of NIR spectra.
Proceedings of the ESANN 2009, 2009

Improving the transition modelling in hidden Markov models for ECG segmentation.
Proceedings of the ESANN 2009, 2009

Patch-based bilateral filter and local m-smoother for image denoising.
Proceedings of the ESANN 2009, 2009

Advances in Feature Selection with Mutual Information.
Proceedings of the Similarity-Based Clustering, 2009

Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification.
Proceedings of the BIOSIGNALS 2009, 2009

2008
On the Risk of Using RÉnyi's Entropy for Blind Source Separation.
IEEE Trans. Signal Processing, 2008

Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods.
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition.
Neurocomputing, 2008

Collaborative filtering with interlaced generalized linear models.
Neurocomputing, 2008

Mixtures of robust probabilistic principal component analyzers.
Neurocomputing, 2008

A Comparative Study of Various Probability Density Estimation Methods for Data Analysis.
Int. J. Comput. Intell. Syst., 2008

A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis
CoRR, 2008

Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity.
Proceedings of the ESANN 2008, 2008

Rank-based quality assessment of nonlinear dimensionality reduction.
Proceedings of the ESANN 2008, 2008

K-nearest neighbours based on mutual information for incomplete data classification.
Proceedings of the ESANN 2008, 2008

Using the Delta Test for Variable Selection.
Proceedings of the ESANN 2008, 2008

A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs.
Proceedings of the Biomedical Engineering Systems and Technologies, 2008

A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
A Minimum-Range Approach to Blind Extraction of Bounded Sources.
IEEE Trans. Neural Networks, 2007

DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data.
IEEE Trans. Neural Networks, 2007

The Concentration of Fractional Distances.
IEEE Trans. Knowl. Data Eng., 2007

Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation.
IEEE Trans. Information Theory, 2007

Robust Bayesian clustering.
Neural Networks, 2007

High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria.
Neurocomputing, 2007

Forecasting the CATS benchmark with the Double Vector Quantization method.
Neurocomputing, 2007

Time series prediction competition: The CATS benchmark.
Neurocomputing, 2007

Resampling methods for parameter-free and robust feature selection with mutual information.
Neurocomputing, 2007

Statistical tools to assess the reliability of self-organizing maps
CoRR, 2007

On the use of self-organizing maps to accelerate vector quantization
CoRR, 2007

Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps
CoRR, 2007

Representation of Functional Data in Neural Networks
CoRR, 2007

Resampling methods for parameter-free and robust feature selection with mutual information
CoRR, 2007

Fast Selection of Spectral Variables with B-Spline Compression
CoRR, 2007

Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
CoRR, 2007

Information-Theoretic Feature Selection for the Classification of Hysteresis Curves.
Proceedings of the Computational and Ambient Intelligence, 2007

Is the General Form of Renyi's Entropy a Contrast for Source Separation?
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Feature clustering and mutual information for the selection of variables in spectral data.
Proceedings of the ESANN 2007, 2007

Collaborative Filtering with interlaced Generalized Linear Models.
Proceedings of the ESANN 2007, 2007

Mixtures of robust probabilistic principal component analyzers.
Proceedings of the ESANN 2007, 2007

07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007

07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007

2006
Unfolding preprocessing for meaningful time series clustering.
Neural Networks, 2006

Advances in Self-Organizing Maps.
Neural Networks, 2006

Mixing and non-mixing local minima of the entropy contrast for blind source separation
CoRR, 2006

Advances in Self Organising Maps
CoRR, 2006

Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Automatic Adjustment of Discriminant Adaptive Nearest Neighbor.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Robust probabilistic projections.
Proceedings of the Machine Learning, 2006

A Functional Approach to Variable Selection in Spectrometric Problems.
Proceedings of the Artificial Neural Networks, 2006

Effective Input Variable Selection for Function Approximation.
Proceedings of the Artificial Neural Networks, 2006

Minimum Support ICA Using Order Statistics. Part II: Performance Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS).
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Lag selection for regression models using high-dimensional mutual information.
Proceedings of the ESANN 2006, 2006

Determination of the Mahalanobis matrix using nonparametric noise estimations.
Proceedings of the ESANN 2006, 2006

Non-orthogonal Support Width ICA.
Proceedings of the ESANN 2006, 2006

The permutation test for feature selection by mutual information.
Proceedings of the ESANN 2006, 2006

2005
Information theoretic versus cumulant-based contrasts for multimodal source separation.
IEEE Signal Process. Lett., 2005

On the entropy minimization of a linear mixture of variables for source separation.
Signal Processing, 2005

Time series forecasting: Obtaining long term trends with self-organizing maps.
Pattern Recognition Letters, 2005

Representation of functional data in neural networks.
Neurocomputing, 2005

Fast bootstrap methodology for regression model selection.
Neurocomputing, 2005

Nonlinear dimensionality reduction of data manifolds with essential loops.
Neurocomputing, 2005

Vector quantization: a weighted version for time-series forecasting.
Future Generation Comp. Syst., 2005

Filtering-Free Blind Separation of Correlated Images.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

The Curse of Dimensionality in Data Mining and Time Series Prediction.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Manifold Constrained Finite Gaussian Mixtures.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Spurious entropy minima for multimodal source separation.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

SWM: a class of convex contrasts for source separation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Manifold Constrained Variational Mixtures.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Can we always trust entropy minima in the ICA context?
Proceedings of the 13th European Signal Processing Conference, 2005

A simple ICA algorithm for non-differentiable contrasts.
Proceedings of the 13th European Signal Processing Conference, 2005

clustering using a random walk based distance measure.
Proceedings of the ESANN 2005, 2005

Pruned lazy learning models for time series prediction.
Proceedings of the ESANN 2005, 2005

Non-Euclidean metrics for similarity search in noisy datasets.
Proceedings of the ESANN 2005, 2005

2004
Double quantization of the regressor space for long-term time series prediction: method and proof of stability.
Neural Networks, 2004

Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis.
Neurocomputing, 2004

On the use of self-organizing maps to accelerate vector quantization.
Neurocomputing, 2004

Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind.
Artificial Intelligence in Medicine, 2004

Supervised Nonparametric Information Theoretic Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Non-linear ICA by Using Isometric Dimensionality Reduction.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
Proceedings of the ESANN 2004, 2004

Fast bootstrap for least-square support vector machines.
Proceedings of the ESANN 2004, 2004

How to project 'circular' manifolds using geodesic distances?
Proceedings of the ESANN 2004, 2004

Functional radial basis function networks.
Proceedings of the ESANN 2004, 2004

Flexible and Robust Bayesian Classification by Finite Mixture Models.
Proceedings of the ESANN 2004, 2004

2003
On the Kernel Widths in Radial-Basis Function Networks.
Neural Processing Letters, 2003

Improving independent component analysis performances by variable selection.
Proceedings of the NNSP 2003, 2003

On the Effects of Dimensionality on Data Analysis with Neural Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Bootstrap for Model Selection: Linear Approximation of the Optimism.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Nonlinear Time Series Prediction by Weighted Vector Quantization.
Proceedings of the Computational Science - ICCS 2003, 2003

Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Fast approximation of the bootstrap for model selection.
Proceedings of the ESANN 2003, 2003

Locally Linear Embedding versus Isotop.
Proceedings of the ESANN 2003, 2003

On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures.
Proceedings of the ESANN 2003, 2003

Design of analog fuzzy logic controllers in CMOS technologies - implementation, test and application.
Kluwer, 2003

2002
A CMOS/SOI Single-input PWM Discriminator for Low-voltage Body-implanted Applications.
VLSI Design, 2002

Self-organizing maps with recursive neighborhood adaptation.
Neural Networks, 2002

Statistical tools to assess the reliability of self-organizing maps.
Neural Networks, 2002

Special issue on fundamental and information processing aspects of neurocomputing.
Neurocomputing, 2002

Forecasting electricity consumption using nonlinear projection and self-organizing maps.
Neurocomputing, 2002

Nonlinear Projection with the Isotop Method.
Proceedings of the Artificial Neural Networks, 2002

Curvilinear Distance Analysis versus Isomap.
Proceedings of the ESANN 2002, 2002

Width optimization of the Gaussian kernels in Radial Basis Function Networks.
Proceedings of the ESANN 2002, 2002

2001
Embedded fuzzy control for automatic channel equalization after digital transmissions.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

Input data reduction for the prediction of financial time series.
Proceedings of the ESANN 2001, 2001

Are they really neighbors? A statistical analysis of the SOM algorithm output.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
A low-power silicon-on-insulator PWM discriminator for biomedical applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

A 5.26 Mflips programmable analogue fuzzy logic controller in a standard CMOS 2.4 μ technology.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

A current-mode CMOS loser-take-all with minimum function for neural computations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Time series forecasting using CCA and Kohonen maps - application to electricity consumption.
Proceedings of the ESANN 2000, 2000

A robust non-linear projection method.
Proceedings of the ESANN 2000, 2000

1999
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Extraction of intrinsic dimension using CCA - Application to blind sources separation.
Proceedings of the ESANN 1999, 1999

Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm.
Proceedings of the ESANN 1999, 1999

1998
Image compression by self-organized Kohonen map.
IEEE Trans. Neural Networks, 1998

Forecasting time-series by Kohonen classification.
Proceedings of the ESANN 1998, 1998

1997
Placing spline knots in neural networks using splines as activation functions.
Neurocomputing, 1997

Kohonen maps versus vector quantization for data analysis.
Proceedings of the ESANN 1997, 1997

1995
Editorial.
Neural Processing Letters, 1995

A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels.
Proceedings of the From Natural to Artificial Neural Computation, 1995

A VLSI System for Neural Bayesian and LVQ Classification.
Proceedings of the From Natural to Artificial Neural Computation, 1995

An Associative Processor Dedicated to Classification by Neural Methods.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Suboptimal Bayesian classification by vector quantization with small clusters.
Proceedings of the ESANN 1995, 1995

1994
Editorial.
Neural Processing Letters, 1994

An analog processor architecture for a neural network classifier.
IEEE Micro, 1994

An optimized RBF network for approximation of functions.
Proceedings of the ESANN 1994, 1994

Estimation of performance bounds in supervised classification.
Proceedings of the ESANN 1994, 1994

1993
Analog implementation of a Kohonen map with on-chip learning.
IEEE Trans. Neural Networks, 1993

Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns.
Proceedings of the New Trends in Neural Computation, 1993

Optimal decision surfaces in LVQ1 classiffication of patterns.
Proceedings of the ESANN 1993, 1993

Laplacian pyramid with multilayer perceptrons interpolators.
Proceedings of the ESANN 1993, 1993

1991
Analog VLSI Synapse Matrix with Enhanced Stochastic Computations.
Proceedings of the Artificial Neural Networks, 1991

1989
An analog VLSI implementation of Hopfield's neural network.
IEEE Micro, 1989

1988
A large VLSI Hopfield network for pattern recognition problems.
Neural Networks, 1988

An algorithm for pattern recognition with VLSI neural networks.
Neural Networks, 1988


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