| 2026 | ESANN | Interpretable Parametric Neighbour Embedding. | Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt |
| 2026 | ESANN | Multi-Scale Stochastic Neighbor Embedding with Twice Adaptive Bandwidths. | John A. Lee, Pierre Lambert, Edouard Couplet, Pierre Merveille, Dounia Mulders, Cyril de Bodt, Michel Verleysen |
| 2025 | ESANN | Can MDS rival with t-SNE by using the symmetric Kullback-Leibler divergence\\ across neighborhoods as a pseudo-distance? | John A. Lee, Pierre Lambert, Edouard Couplet, Pierre Merveille, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen |
| 2024 | ESANN | Forget early exaggeration in t-SNE: early hierarchization preserves global structure. | John A. Lee, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen |
| 2023 | ESANN | On the number of latent representations in deep neural networks for tabular data. | Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt |
| 2021 | ESANN | Stochastic quartet approach for fast multidimensional scaling. | Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee |
| 2021 | ESANN | Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. | Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt |
| 2020 | ESANN | Perplexity-free Parametric t-SNE. | Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu |
| 2020 | ICFHR | Data Augmentation and Text Recognition on Khmer Historical Manuscripts. | Dona Valy, Michel Verleysen, Sophea Chhun |
| 2020 | IJCCI | Machine Learning with Limited Size Datasets. | Michel Verleysen |
| 2019 | ESANN | Class-aware t-SNE: cat-SNE. | Cyril de Bodt, Dounia Mulders, Daniel Lpez Snchez, Michel Verleysen, John A. Lee |
| 2019 | ESANN | MAP best performances prediction for endurance runners. | ngel Campo, Marc Francaux, Laurent Baijot, Michel Verleysen |
| 2019 | ESANN | Tensor factorization to extract patterns in multimodal EEG data. | Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, Andr Mouraux, Michel Verleysen |
| 2019 | ICANN | Comparison Between Filter Criteria for Feature Selection in Regression. | Alexandra Degeest, Michel Verleysen, Benot Frnay |
| 2019 | ICPRAM | Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model. | Dona Valy, Michel Verleysen, Sophea Chhun |
| 2019 | IWANN | About Filter Criteria for Feature Selection in Regression. | Alexandra Degeest, Michel Verleysen, Benot Frnay |
| 2018 | ESANN | Perplexity-free t-SNE and twice Student tt-SNE. | Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee |
| 2018 | ESANN | Extensive assessment of Barnes-Hut t-SNE. | Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee |
| 2018 | ICFHR | 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 |
| 2018 | ICFHR | Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts. | Dona Valy, Michel Verleysen, Sophea Chhun, Jean-Christophe Burie |
| 2018 | ICONIP | Linear Periodic Discriminant Analysis of Multidimensional Signals. | Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, Andr Mouraux, Michel Verleysen |
| 2017 | ICDAR | A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set. | Dona Valy, Michel Verleysen, Sophea Chhun, Jean-Christophe Burie |
| 2016 | ESANN | A state-space model on interactive dimensionality reduction. | Ignacio Daz Blanco, Abel Alberto Cuadrado Vega, Michel Verleysen |
| 2016 | ICFHR | Line Segmentation Approach for Ancient Palm Leaf Manuscripts Using Competitive Learning Algorithm. | Dona Valy, Michel Verleysen, Kimheng Sok |
| 2016 | IJCNN | Multi-step-ahead forecasting using kernel adaptive filtering. | Sergio Garca-Vega, Germn Castellanos-Domnguez, Michel Verleysen, John Aldo Lee |
| 2015 | ESANN | Geometrical homotopy for data visualization. | Diego Hernn Peluffo-Ordez, Juan Carlos Alvarado-Prez, John Aldo Lee, Michel Verleysen |
| 2015 | IJCNN | Feature ranking in changing environments where new features are introduced. | Alexandra Degeest, Michel Verleysen, Benot Frnay |
| 2014 | CIDM | Two key properties of dimensionality reduction methods. | John Aldo Lee, Michel Verleysen |
| 2014 | CIDM | Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. | Diego Hernn Peluffo-Ordez, John Aldo Lee, Michel Verleysen |
| 2014 | ESANN | Interactive dimensionality reduction for visual analytics. | Ignacio Daz Blanco, Abel Alberto Cuadrado Vega, Daniel Prez, Francisco J. Garca-Fernndez, Michel Verleysen |
| 2014 | ESANN | Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. | John Aldo Lee, Diego Hernn Peluffo-Ordez, Michel Verleysen |
| 2014 | ESANN | Recent methods for dimensionality reduction: A brief comparative analysis. | Diego Hernn Peluffo-Ordez, John Aldo Lee, Michel Verleysen |
| 2014 | IJCNN | The delta test: The 1-NN estimator as a feature selection criterion. | Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen |
| 2014 | ICPRAM | Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance. | Diego Hernn Peluffo-Ordez, John Aldo Lee, Michel Verleysen, Jos L. Rodrguez, Germn Castellanos-Domnguez |
| 2013 | ESANN | Risk Estimation and Feature Selection. | Gauthier Doquire, Benot Frnay, Michel Verleysen |
| 2013 | ESANN | Sensitivity to parameter and data variations in dimensionality reduction techniques. | Francisco J. Garca-Fernndez, Michel Verleysen, John Aldo Lee, Ignacio Daz Blanco |
| 2013 | ICIAP | Segmentation with Incremental Classifiers. | Guillaume Bernard, Michel Verleysen, John Aldo Lee |
| 2013 | ICONIP | Nonlinear Dimensionality Reduction for Visualization. | Michel Verleysen, John Aldo Lee |
| 2013 | VDA | Improving projection-based data analysis by feature space transformations. | Matthias Schfer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John Aldo Lee, Michel Verleysen, Daniel A. Keim |
| 2012 | ESANN | Incremental feature building and classification for image segmentation. | Guillaume Bernard, Michel Verleysen, John Aldo Lee |
| 2012 | ESANN | Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. | Frederico Coelho, Antnio de Pdua Braga, Michel Verleysen |
| 2012 | ESANN | On the Potential Inadequacy of Mutual Information for Feature Selection. | Benot Frnay, Gauthier Doquire, Michel Verleysen |
| 2012 | ESANN | The stability of feature selection and class prediction from ensemble tree classifiers. | Jrme Paul, Michel Verleysen, Pierre Dupont |
| 2012 | ICPRAM | Handling Imprecise Labels in Feature Selection with Graph Laplacian. | Gauthier Doquire, Michel Verleysen |
| 2012 | ICPRAM | A Comparison of Multivariate Mutual Information Estimators for Feature Selection. | Gauthier Doquire, Michel Verleysen |
| 2011 | DaWaK | Feature Selection with Mutual Information for Uncertain Data. | Gauthier Doquire, Michel Verleysen |
| 2011 | ESANN | Mutual information for feature selection with missing data. | Gauthier Doquire, Michel Verleysen |
| 2011 | ESANN | Mutual information based feature selection for mixed data. | Gauthier Doquire, Michel Verleysen |
| 2011 | ESANN | Class-Specific Feature Selection for One-Against-All Multiclass SVMs. | Gal de Lannoy, Damien Franois, Michel Verleysen |
| 2011 | IC3K | An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data. | Gauthier Doquire, Michel Verleysen |
| 2011 | IJCCI | Feature Selection for High-dimensional Data Analysis. | Michel Verleysen |
| 2011 | IWANN | Feature Selection for Multi-label Classification Problems. | Gauthier Doquire, Michel Verleysen |
| 2011 | IWANN | Graph Laplacian for Semi-supervised Feature Selection in Regression Problems. | Gauthier Doquire, Michel Verleysen |
| 2010 | CIARP | Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. | Frederico Coelho, Antnio de Pdua Braga, Michel Verleysen |
| 2010 | ESANN | Self Organizing Star (SOS) for health monitoring. | Etienne Cme, Marie Cottrell, Michel Verleysen, Jrme Lacaille |
| 2010 | ESANN | Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising. | Arnaud de Decker, John Aldo Lee, Damien Franois, Michel Verleysen |
| 2010 | ESANN | Using SVMs with randomised feature spaces: an extreme learning approach. | Benot Frnay, Michel Verleysen |
| 2010 | ESANN | 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 |
| 2010 | ESANN | Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. | Axel Wismller, Michel Verleysen, Michal Aupetit, John Aldo Lee |
| 2010 | IJCNN | Unsupervised dimensionality reduction: Overview and recent advances. | John Aldo Lee, Michel Verleysen |
| 2010 | IJCNN | Dimensionality reduction by rank preservation. | Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen |
| 2009 | ESANN | Patch-based bilateral filter and local m-smoother for image denoising. | Arnaud de Decker, John Aldo Lee, Michel Verleysen |
| 2009 | ESANN | Improving the transition modelling in hidden Markov models for ECG segmentation. | Benot Frnay, Gal de Lannoy, Michel Verleysen |
| 2009 | ESANN | Supervised variable clustering for classification of NIR spectra. | Catherine Krier, Damien Franois, Fabrice Rossi, Michel Verleysen |
| 2009 | ESANN | Adaptive anisotropic denoising: a bootstrapped procedure. | John Aldo Lee, Arnaud de Decker, Michel Verleysen |
| 2009 | ICANN | Simbed: Similarity-Based Embedding. | John Aldo Lee, Michel Verleysen |
| 2008 | ESANN | Using the Delta Test for Variable Selection. | Emil Eirola, Elia Liitiinen, Amaury Lendasse, Francesco Corona, Michel Verleysen |
| 2008 | ESANN | K-nearest neighbours based on mutual information for incomplete data classification. | Pedro J. Garca-Laencina, Jos-Luis Sancho-Gmez, Anbal R. Figueiras-Vidal, Michel Verleysen |
| 2008 | ESANN | Rank-based quality assessment of nonlinear dimensionality reduction. | John Aldo Lee, Michel Verleysen |
| 2008 | ESANN | Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity. | Victor Onclinx, Vincent Wertz, Michel Verleysen |
| 2008 | PAKDD | Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. | Nicolas Delannay, Cdric Archambeau, Michel Verleysen |
| 2007 | ESANN | Mixtures of robust probabilistic principal component analyzers. | Cdric Archambeau, Nicolas Delannay, Michel Verleysen |
| 2007 | ESANN | Collaborative Filtering with interlaced Generalized Linear Models. | Nicolas Delannay, Michel Verleysen |
| 2007 | ESANN | Feature clustering and mutual information for the selection of variables in spectral data. | Catherine Krier, Damien Franois, Fabrice Rossi, Michel Verleysen |
| 2007 | IWANN | Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. | Vanessa Gmez-Verdejo, Michel Verleysen, Jrme Fleury |
| 2006 | ESANN | The permutation test for feature selection by mutual information. | Damien Franois, Vincent Wertz, Michel Verleysen |
| 2006 | ESANN | Non-orthogonal Support Width ICA. | John Aldo Lee, Frdric Vrins, Michel Verleysen |
| 2006 | ESANN | Determination of the Mahalanobis matrix using nonparametric noise estimations. | Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen |
| 2006 | ESANN | Lag selection for regression models using high-dimensional mutual information. | Geoffroy Simon, Michel Verleysen |
| 2006 | ICANN | Effective Input Variable Selection for Function Approximation. | Luis Javier Herrera, Hctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guilln |
| 2006 | ICANN | A Functional Approach to Variable Selection in Spectrometric Problems. | Fabrice Rossi, Damien Franois, Vincent Wertz, Michel Verleysen |
| 2006 | ICML | Robust probabilistic projections. | Cdric Archambeau, Nicolas Delannay, Michel Verleysen |
| 2006 | ICPR | Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. | Nicolas Delannay, Cdric Archambeau, Michel Verleysen |
| 2006 | ISCAS | Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. | Cdric Archambeau, Maurizio Valle, Alex Assenza, Michel Verleysen |
| 2005 | ESANN | Non-Euclidean metrics for similarity search in noisy datasets. | Damien Franois, Vincent Wertz, Michel Verleysen |
| 2005 | ESANN | Pruned lazy learning models for time series prediction. | Antti Sorjamaa, Amaury Lendasse, Michel Verleysen |
| 2005 | ESANN | clustering using a random walk based distance measure. | Luh Yen, Denis Vanvyve, Fabien Wouters, Franois Fouss, Michel Verleysen, Marco Saerens |
| 2005 | ICANN | Manifold Constrained Variational Mixtures. | Cdric Archambeau, Michel Verleysen |
| 2005 | ICANN | LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. | Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen |
| 2005 | ICASSP | SWM: a class of convex contrasts for source separation. | Frdric Vrins, Michel Verleysen, Christian Jutten |
| 2005 | IWANN | Manifold Constrained Finite Gaussian Mixtures. | Cdric Archambeau, Michel Verleysen |
| 2005 | IWANN | The Curse of Dimensionality in Data Mining and Time Series Prediction. | Michel Verleysen, Damien Franois |
| 2005 | IWANN | Filtering-Free Blind Separation of Correlated Images. | Frdric Vrins, John Aldo Lee, Michel Verleysen |
| 2004 | ESANN | Flexible and Robust Bayesian Classification by Finite Mixture Models. | Cdric Archambeau, Frdric Vrins, Michel Verleysen |
| 2004 | ESANN | Functional radial basis function networks. | Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen |
| 2004 | ESANN | How to project 'circular' manifolds using geodesic distances? | John Aldo Lee, Michel Verleysen |
| 2004 | ESANN | Fast bootstrap for least-square support vector machines. | Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen |
| 2004 | ESANN | Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? | Frdric Vrins, Cdric Archambeau, Michel Verleysen |
| 2004 | ICPR | Supervised Nonparametric Information Theoretic Classification. | Cdric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran |
| 2004 | IJCNN | Fast bootstrap applied to LS-SVM for long term prediction of time series. | Amaury Lendasse, Vincent Wertz, Geoffroy Simon, Michel Verleysen |
| 2004 | IJCNN | Double quantization forecasting method for filling missing data in the CATS time series. | Geoffroy Simon, John Aldo Lee, Michel Verleysen, Marie Cottrell |
| 2003 | ESANN | On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. | Cdric Archambeau, John Aldo Lee, Michel Verleysen |
| 2003 | ESANN | Locally Linear Embedding versus Isotop. | John Aldo Lee, Cdric Archambeau, Michel Verleysen |
| 2003 | ESANN | Fast approximation of the bootstrap for model selection. | Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen |
| 2003 | ICANN | Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. | Amaury Lendasse, Vincent Wertz, Michel Verleysen |
| 2003 | ICCS | Nonlinear Time Series Prediction by Weighted Vector Quantization. | Amaury Lendasse, Damien Franois, Vincent Wertz, Michel Verleysen |
| 2003 | IWANN | Bootstrap for Model Selection: Linear Approximation of the Optimism. | Geoffroy Simon, Amaury Lendasse, Michel Verleysen |
| 2003 | IWANN | On the Effects of Dimensionality on Data Analysis with Neural Networks. | Michel Verleysen, Damien Franois, Geoffroy Simon, Vincent Wertz |
| 2002 | ESANN | Width optimization of the Gaussian kernels in Radial Basis Function Networks. | Nabil Benoudjit, Cdric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen |
| 2002 | ESANN | Curvilinear Distance Analysis versus Isomap. | John Aldo Lee, Amaury Lendasse, Michel Verleysen |
| 2002 | ICANN | Nonlinear Projection with the Isotop Method. | John Aldo Lee, Michel Verleysen |
| 2001 | AISTATS | Are they really neighbors? A statistical analysis of the SOM algorithm output. | Eric de Bodt, Marie Cottrell, Michel Verleysen |
| 2001 | ESANN | Input data reduction for the prediction of financial time series. | Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen |
| 2001 | ISCAS | Embedded fuzzy control for automatic channel equalization after digital transmissions. | Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen |
| 2000 | ESANN | A robust non-linear projection method. | John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen |
| 2000 | ESANN | Time series forecasting using CCA and Kohonen maps - application to electricity consumption. | Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen |
| 2000 | ISCAS | A current-mode CMOS loser-take-all with minimum function for neural computations. | Nicolas Donckers, Carlos Dualibe, Michel Verleysen |
| 2000 | ISCAS | 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 |
| 2000 | ISCAS | 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 |
| 1999 | ESANN | Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. | Eric de Bodt, Marie Cottrell, Michel Verleysen |
| 1999 | ESANN | Extraction of intrinsic dimension using CCA - Application to blind sources separation. | Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen |
| 1999 | IWANN | Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. | Michel Verleysen, Eric de Bodt, Amaury Lendasse |
| 1998 | ESANN | Forecasting time-series by Kohonen classification. | Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grgoire |
| 1997 | ESANN | Kohonen maps versus vector quantization for data analysis. | Eric de Bodt, Michel Verleysen, Marie Cottrell |
| 1995 | ESANN | Suboptimal Bayesian classification by vector quantization with small clusters. | Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat |
| 1995 | IWANN | An Associative Processor Dedicated to Classification by Neural Methods. | Philippe Thissen, Michel Verleysen, Jean-Didier Legat |
| 1995 | IWANN | A VLSI System for Neural Bayesian and LVQ Classification. | Philippe Thissen, Michel Verleysen, Jean-Didier Legat, Jordi Madrenas, Jordi Domnguez |
| 1995 | IWANN | A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels. | Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat |
| 1994 | ESANN | Estimation of performance bounds in supervised classification. | Pierre Comon, Jean-Luc Voz, Michel Verleysen |
| 1994 | ESANN | An optimized RBF network for approximation of functions. | Michel Verleysen, Katerina Hlavckov |
| 1993 | ESANN | Laplacian pyramid with multilayer perceptrons interpolators. | Benot Simon, Benot Macq, Michel Verleysen |
| 1993 | ESANN | Optimal decision surfaces in LVQ1 classiffication of patterns. | Michel Verleysen, Philippe Thissen, Jean-Didier Legat |
| 1993 | IWANN | Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns. | Michel Verleysen, Philippe Thissen, Jean-Didier Legat |
| 1992 | ICPR | A real-time VLSI-based architecture for multi-motion estimation. | Jean-Didier Legat, J. P. Cornil, Damien Macq, Michel Verleysen |
| 1991 | IWANN | Analog VLSI Synapse Matrix with Enhanced Stochastic Computations. | Michel Verleysen, Paul G. A. Jespers |