| 2017 | ESANN | Large-scale nonlinear dimensionality reduction for network intrusion detection. | Yasir Hamid, Ludovic Journaux, John Aldo Lee, Lucile Sautot, Nabi Bushra, M. Sugumaran |
| 2016 | ESANN | Human-centered machine learning through interactive visualization: review and open challenges. | Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim |
| 2016 | IJCNN | Multi-step-ahead forecasting using kernel adaptive filtering. | Sergio Garca-Vega, Germn Castellanos-Domnguez, Michel Verleysen, John Aldo Lee |
| 2015 | ESANN | Unsupervised dimensionality reduction: the challenge of big data visualization. | Kerstin Bunte, John Aldo Lee |
| 2015 | ESANN | Geometrical homotopy for data visualization. | Diego Hernn Peluffo-Ordez, Juan Carlos Alvarado-Prez, John Aldo Lee, Michel Verleysen |
| 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 | 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 | 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 | 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 | Type 1 and 2 symmetric divergences for stochastic neighbor embedding. | John Aldo Lee |
| 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 | 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 | 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 | Rank-based quality assessment of nonlinear dimensionality reduction. | John Aldo Lee, Michel Verleysen |
| 2006 | ESANN | Non-orthogonal Support Width ICA. | John Aldo Lee, Frdric Vrins, Michel Verleysen |
| 2005 | IWANN | Filtering-Free Blind Separation of Correlated Images. | Frdric Vrins, John Aldo Lee, Michel Verleysen |
| 2004 | ESANN | How to project 'circular' manifolds using geodesic distances? | John Aldo Lee, 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 |
| 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 | ESANN | Input data reduction for the prediction of financial time series. | Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, 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 |