Michel Verleysen

Orcid: 0000-0003-4366-6155

Affiliations:
  • Université catholique de Louvain, Belgium


According to our database1, Michel Verleysen authored at least 262 papers between 1988 and 2023.

Collaborative distances:

Awards

IEEE Fellow

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

Timeline

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Bibliography

2023
Semi-supervised <i>t</i>-SNE with multi-scale neighborhood preservation.
Neurocomputing, 2023

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria.
CoRR, 2023

The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications.
IEEE Computer Graphics and Applications, 2023

2022
Fast Multiscale Neighbor Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2022

SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like <i>t</i>-SNE and UMAP.
Neurocomputing, 2022

SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP.
CoRR, 2022

2021
Reading grid for feature selection relevance criteria in regression.
Pattern Recognit. Lett., 2021

Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Stochastic quartet approach for fast multidimensional scaling.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
LASSO multi-objective learning algorithm for feature selection.
Soft Comput., 2020

Inference of node attributes from social network assortativity.
Neural Comput. Appl., 2020

Machine Learning with Limited Size Datasets.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Data Augmentation and Text Recognition on Khmer Historical Manuscripts.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Perplexity-free Parametric t-SNE.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations.
IEEE Trans. Neural Networks Learn. Syst., 2019

Semi-supervised relevance index for feature selection.
Neural Comput. Appl., 2019

About Filter Criteria for Feature Selection in Regression.
Proceedings of the Advances in Computational Intelligence, 2019

Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Comparison Between Filter Criteria for Feature Selection in Regression.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Tensor factorization to extract patterns in multimodal EEG data.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

MAP best performances prediction for endurance runners.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Class-aware t-SNE: cat-SNE.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

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

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

Linear Periodic Discriminant Analysis of Multidimensional Signals.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

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

Extensive assessment of Barnes-Hut t-SNE.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Perplexity-free t-SNE and twice Student tt-SNE.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Clustering Smart Card Data for Urban Mobility Analysis.
IEEE Trans. Intell. Transp. Syst., 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. Cybern., 2016

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

Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists.
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

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

A state-space model on interactive dimensionality reduction.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

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

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

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

Geometrical homotopy for data visualization.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

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

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

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

Estimating mutual information for feature selection in the presence of label noise.
Comput. Stat. Data Anal., 2014

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

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

User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

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. Eng., 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.
Comput. Intell. Neurosci., 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 19th European Symposium on Artificial Neural Networks, 2011

Mutual information based feature selection for mixed data.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Mutual information for feature selection with missing data.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 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 Recognit. Lett., 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 18th European Symposium on Artificial Neural Networks, 2010

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Using SVMs with randomised feature spaces: an extreme learning approach.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Self Organizing Star (SOS) for health monitoring.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding.
Proceedings of the 19th International Conference on Computational Statistics, 2010

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

Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification.
Proceedings of the Biomedical Engineering Systems and Technologies, 2010

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

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

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

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 17th European Symposium on Artificial Neural Networks, 2009

Supervised variable clustering for classification of NIR spectra.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Improving the transition modelling in hidden Markov models for ECG segmentation.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Patch-based bilateral filter and local m-smoother for image denoising.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 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 Process., 2008

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

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

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 16th European Symposium on Artificial Neural Networks, 2008

Rank-based quality assessment of nonlinear dimensionality reduction.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

K-nearest neighbours based on mutual information for incomplete data classification.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Using the Delta Test for Variable Selection.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 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. Inf. 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

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 15th European Symposium on Artificial Neural Networks, 2007

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

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

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

Advances in Self-Organizing Maps.
Neural Networks, 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 14th European Symposium on Artificial Neural Networks, 2006

Determination of the Mahalanobis matrix using nonparametric noise estimations.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Non-orthogonal Support Width ICA.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

The permutation test for feature selection by mutual information.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

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

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

Time series forecasting: Obtaining long term trends with self-organizing maps.
Pattern Recognit. Lett., 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 Gener. Comput. 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 13th European Symposium on Artificial Neural Networks, 2005

Pruned lazy learning models for time series prediction.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Non-Euclidean metrics for similarity search in noisy datasets.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

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

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

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.
Artif. Intell. 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 12th European Symposium on Artificial Neural Networks, 2004

Fast bootstrap for least-square support vector machines.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

How to project 'circular' manifolds using geodesic distances?
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Functional radial basis function networks.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Flexible and Robust Bayesian Classification by Finite Mixture Models.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
On the Kernel Widths in Radial-Basis Function Networks.
Neural Process. Lett., 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 11th European Symposium on Artificial Neural Networks, 2003

Locally Linear Embedding versus Isotop.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

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

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

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 10th Eurorean Symposium on Artificial Neural Networks, 2002

Width optimization of the Gaussian kernels in Radial Basis Function Networks.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption.
Proceedings of the American Control Conference, 2002

2001
Recursive learning rules for SOMs.
Proceedings of the Advances in Self-Organising Maps, 2001

A Statistical Tool to Assess the Reliability of Self-Organizing Maps.
Proceedings of the Advances in Self-Organising Maps, 2001

On Designing Mixed-Signal Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies.
Proceedings of the 14th Annual Symposium on Integrated Circuits and Systems Design, 2001

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

Input data reduction for the prediction of financial time series.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 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 8th European Symposium on Artificial Neural Networks, 2000

A robust non-linear projection method.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

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

Extraction of intrinsic dimension using CCA - Application to blind sources separation.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

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

Forecasting time-series by Kohonen classification.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 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 5th Eurorean Symposium on Artificial Neural Networks, 1997

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

A statistical neural network for high-dimensional vector classification.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Suboptimal Bayesian classification by vector quantization with small clusters.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994
Editorial.
Neural Process. Lett., 1994

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

An optimized RBF network for approximation of functions.
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994

Estimation of performance bounds in supervised classification.
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 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 1st European Symposium on Artificial Neural Networks, 1993

Laplacian pyramid with multilayer perceptrons interpolators.
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993

1992
A real-time VLSI-based architecture for multi-motion estimation.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

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

An Analog VLSI Architecture for Large Neural Networks.
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989

1988
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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