John Aldo Lee

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 11

Top Topics

Adaptive Filtering

Interactive Visualization

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
Fast Multiscale Neighbor Embedding. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Stéphanie Guérit, Siddharth Sivankutty, John Aldo Lee, Hervé Rigneault, Laurent Jacques
Compressive lensless endoscopy with partial speckle scanning. CoRR (2021)
Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Stéphanie Guérit, Siddharth Sivankutty, Camille Scotté, John Aldo Lee, Hervé Rigneault, Laurent Jacques
Compressive Sampling Approach for Image Acquisition with Lensless Endoscope. CoRR (2018)
Andrés Marino Álvarez-Meza, John Aldo Lee, Michel Verleysen, Germán Castellanos-Domínguez
Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. Neurocomputing 222 (2017)
Romain Hérault, Dominic Orth, Ludovic Seifert, Jérémie Boulanger, John Aldo Lee
Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering. Data Min. Knowl. Discov. 31 (6) (2017)
Yasir Hamid, Ludovic Journaux, John Aldo Lee, Lucile Sautot, Nabi Bushra, M. Sugumaran
Large-scale nonlinear dimensionality reduction for network intrusion detection. ESANN (2017)
Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing 268 (2017)
Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee
Multi-step-ahead forecasting using kernel adaptive filtering. IJCNN (2016)
Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
Human-centered machine learning through interactive visualization: review and open challenges. ESANN (2016)
Diego Hernán Peluffo-Ordóñez, Juan Carlos Alvarado-Pérez, John Aldo Lee, Michel Verleysen
Geometrical homotopy for data visualization. ESANN (2015)
Kerstin Bunte, John Aldo Lee
Unsupervised dimensionality reduction: the challenge of big data visualization. ESANN (2015)
Romain Hérault, Jérémie Boulanger, Ludovic Seifert, John Aldo Lee
Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding. MLSA@PKDD/ECML (2015)
John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing 169 (2015)
Guillaume Bernard, Michel Verleysen, John Aldo Lee
Incremental classification of objects in scenes: Application to the delineation of images. Neurocomputing 152 (2015)
Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
Recent methods for dimensionality reduction: A brief comparative analysis. ESANN (2014)
John Aldo Lee, Michel Verleysen
Two key properties of dimensionality reduction methods. CIDM (2014)
Mark J. Embrechts, Fabrice Rossi, Frank-Michael Schleif, John Aldo Lee
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013). Neurocomputing 141 (2014)
Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. WSOM (2014)
Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen, José L. Rodríguez, Germán Castellanos-Domínguez
Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance. ICPRAM (2014)
John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen
Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. ESANN (2014)
Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. CIDM (2014)
Guillaume Bernard, Michel Verleysen, John Aldo Lee
Segmentation with Incremental Classifiers. ICIAP (2) (2013)
Matthias Schäfer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John Aldo Lee, Michel Verleysen, Daniel A. Keim
Improving projection-based data analysis by feature space transformations. Visualization and Data Analysis (2013)
John Aldo Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen
Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. Neurocomputing 112 (2013)
Francisco J. García-Fernández, Michel Verleysen, John Aldo Lee, Ignacio Díaz Blanco
Sensitivity to parameter and data variations in dimensionality reduction techniques. ESANN (2013)
Michel Verleysen, John Aldo Lee
Nonlinear Dimensionality Reduction for Visualization. ICONIP (1) (2013)
John Aldo Lee
Type 1 and 2 symmetric divergences for stochastic neighbor embedding. ESANN (2012)
Tony Shepherd, Mika Teräs, Reinhard Beichel, Ronald Boellaard, Michel Bruynooghe, Volker Dicken, Mark J. Gooding, Peter J. Julyan, John Aldo Lee, Sébastien Lefèvre, Michael Mix, Valery Naranjo, Xiaodong Wu, Habib Zaidi, Ziming Zeng, Heikki Minn
Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. IEEE Trans. Medical Imaging 31 (11) (2012)
John Aldo Lee, Petra Schneider, John A. Quinn
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing 90 (2012)
Guillaume Bernard, Michel Verleysen, John Aldo Lee
Incremental feature building and classification for image segmentation. ESANN (2012)
Arnaud de Decker, Damien François, Michel Verleysen, John Aldo Lee
Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising. Neurocomputing 74 (9) (2011)
John Aldo Lee, Michel Verleysen
Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. ICCS (2011)
John Aldo Lee, Frank-Michael Schleif, Thomas Martinetz
Advances in artificial neural networks, machine learning, and computational intelligence. Neurocomputing 74 (9) (2011)
Cecilio Angulo, John Aldo Lee, Frank-Michael Schleif
Advances in computational intelligence and learning (ESANN 2009). Neurocomputing 73 (7-9) (2010)
Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen
Dimensionality reduction by rank preservation. IJCNN (2010)
Arnaud de Decker, John Aldo Lee, Michel Verleysen
A principled approach to image denoising with similarity kernels involving patches. Neurocomputing 73 (7-9) (2010)
Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee
Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN (2010)
John Aldo Lee, Michel Verleysen
Unsupervised dimensionality reduction: Overview and recent advances. IJCNN (2010)
Arnaud de Decker, John Aldo Lee, Damien François, Michel Verleysen
Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising. ESANN (2010)
John Aldo Lee, Michel Verleysen
Scale-independent quality criteria for dimensionality reduction. Pattern Recognit. Lett. 31 (14) (2010)
Arnaud de Decker, John Aldo Lee, Michel Verleysen
Patch-based bilateral filter and local m-smoother for image denoising. ESANN (2009)
John Aldo Lee, Michel Verleysen
Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing 72 (7-9) (2009)
John Aldo Lee, Arnaud de Decker, Michel Verleysen
Adaptive anisotropic denoising: a bootstrapped procedure. ESANN (2009)
John Aldo Lee, Michel Verleysen
Simbed: Similarity-Based Embedding. ICANN (2) (2009)
John Aldo Lee, Frédéric Vrins, Michel Verleysen
Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. Neurocomputing 72 (1-3) (2008)
John Aldo Lee, Michel Verleysen
Rank-based quality assessment of nonlinear dimensionality reduction. ESANN (2008)
John Aldo Lee, Xavier Geets, Vincent Grégoire, Anne Bol
Edge-Preserving Filtering of Images with Low Photon Counts. IEEE Trans. Pattern Anal. Mach. Intell. 30 (6) (2008)
John Aldo Lee, Michel Verleysen
Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. FSDM (2008)
Frédéric Vrins, John Aldo Lee, Michel Verleysen
A Minimum-Range Approach to Blind Extraction of Bounded Sources. IEEE Trans. Neural Networks 18 (3) (2007)
Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen
Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing 70 (13-15) (2007)
Geoffroy Simon, John Aldo Lee, Michel Verleysen
Unfolding preprocessing for meaningful time series clustering. Neural Networks 19 (6-7) (2006)
John Aldo Lee, Frédéric Vrins, Michel Verleysen
Non-orthogonal Support Width ICA. ESANN (2006)
John Aldo Lee, Frédéric Vrins, Michel Verleysen
A simple ICA algorithm for non-differentiable contrasts. EUSIPCO (2005)
Frédéric Vrins, John Aldo Lee, Michel Verleysen
Filtering-Free Blind Separation of Correlated Images. IWANN (2005)
John Aldo Lee, Michel Verleysen
Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing 67 (2005)
Frédéric Vrins, John Aldo Lee, Michel Verleysen
Can we always trust entropy minima in the ICA context? EUSIPCO (2005)
John Aldo Lee, Amaury Lendasse, Michel Verleysen
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57 (2004)
John Aldo Lee, Michel Verleysen
How to project 'circular' manifolds using geodesic distances? ESANN (2004)
John Aldo Lee, Christian Jutten, Michel Verleysen
Non-linear ICA by Using Isometric Dimensionality Reduction. ICA (2004)
Frédéric Vrins, John Aldo Lee, Michel Verleysen, Vincent Vigneron, Christian Jutten
Improving independent component analysis performances by variable selection. NNSP (2003)
John Aldo Lee, Cédric Archambeau, Michel Verleysen
Locally Linear Embedding versus Isotop. ESANN (2003)
Cédric Archambeau, John Aldo Lee, Michel Verleysen
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN (2003)
John Aldo Lee, Amaury Lendasse, Michel Verleysen
Curvilinear Distance Analysis versus Isomap. ESANN (2002)
Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing 48 (1-4) (2002)
Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen
Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN (2002)
John Aldo Lee, Michel Verleysen
Self-organizing maps with recursive neighborhood adaptation. Neural Networks 15 (8-9) (2002)
John Aldo Lee, Michel Verleysen
Nonlinear Projection with the Isotop Method. ICANN (2002)
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen
Input data reduction for the prediction of financial time series. ESANN (2001)
John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen
A robust non-linear projection method. ESANN (2000)
Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN (2000)