John Aldo Lee - RankMe

75 papers B 27C 4Misc 3Journal 30Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FUnc-SNE: A flexible, Fast, and Unconstrained algorithm for neighbour embeddings. CoRR Pierre Lambert, Edouard Couplet, Michel Verleysen, John Aldo Lee
2022	J	`jnl`	Fast Multiscale Neighbor Embedding. IEEE Trans. Neural Networks Learn. Syst. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
2021	J	`jnl`	Compressive lensless endoscopy with partial speckle scanning. CoRR Stéphanie Guérit, Siddharth Sivankutty, John Aldo Lee, Hervé Rigneault, Laurent Jacques
2019	J	`jnl`	Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Trans. Neural Networks Learn. Syst. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
2018	J	`jnl`	Compressive Sampling Approach for Image Acquisition with Lensless Endoscope. CoRR Stéphanie Guérit, Siddharth Sivankutty, Camille Scotté, John Aldo Lee, Hervé Rigneault, Laurent Jacques
2017	J	`jnl`	Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering. Data Min. Knowl. Discov. Romain Hérault, Dominic Orth, Ludovic Seifert, Jérémie Boulanger, John Aldo Lee
2017	J	`jnl`	Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. Neurocomputing Andrés Marino Álvarez-Meza, John Aldo Lee, Michel Verleysen, Germán Castellanos-Domínguez
2017	B	`conf`	Large-scale nonlinear dimensionality reduction for network intrusion detection. ESANN Yasir Hamid, Ludovic Journaux, John Aldo Lee, Lucile Sautot, Nabi Bushra, M. Sugumaran
2017	J	`jnl`	Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2017	J	`jnl`	What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2016	B	`conf`	Human-centered machine learning through interactive visualization: review and open challenges. ESANN Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2016	B	`conf`	Multi-step-ahead forecasting using kernel adaptive filtering. IJCNN Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee
2015	B	`conf`	Geometrical homotopy for data visualization. ESANN Diego Hernán Peluffo-Ordóñez, Juan Carlos Alvarado-Pérez, John Aldo Lee, Michel Verleysen
2015	J	`jnl`	Incremental classification of objects in scenes: Application to the delineation of images. Neurocomputing Guillaume Bernard, Michel Verleysen, John Aldo Lee
2015	J	`jnl`	Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen
2015	B	`conf`	Unsupervised dimensionality reduction: the challenge of big data visualization. ESANN Kerstin Bunte, John Aldo Lee
2015	—	`conf`	Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding. MLSA@PKDD/ECML Romain Hérault, Jérémie Boulanger, Ludovic Seifert, John Aldo Lee
2014	J	`jnl`	Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013). Neurocomputing Mark J. Embrechts, Fabrice Rossi, Frank-Michael Schleif, John Aldo Lee
2014	C	`conf`	Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. CIDM Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
2014	B	`conf`	Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. ESANN John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen
2014	B	`conf`	Recent methods for dimensionality reduction: A brief comparative analysis. ESANN Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
2014	—	`conf`	Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. WSOM Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen
2014	C	`conf`	Two key properties of dimensionality reduction methods. CIDM John Aldo Lee, Michel Verleysen
2014	C	`conf`	Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance. ICPRAM Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen, José L. Rodríguez, Germán Castellanos-Domínguez
2013	Misc	`conf`	Improving projection-based data analysis by feature space transformations. Visualization and Data Analysis Matthias Schäfer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John Aldo Lee, Michel Verleysen, Daniel A. Keim
2013	—	`conf`	Nonlinear Dimensionality Reduction for Visualization. ICONIP (1) Michel Verleysen, John Aldo Lee
2013	—	`conf`	Segmentation with Incremental Classifiers. ICIAP (2) Guillaume Bernard, Michel Verleysen, John Aldo Lee
2013	B	`conf`	Sensitivity to parameter and data variations in dimensionality reduction techniques. ESANN Francisco J. García-Fernández, Michel Verleysen, John Aldo Lee, Ignacio Díaz Blanco
2013	J	`jnl`	Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. Neurocomputing John Aldo Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen
2012	J	`jnl`	Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing John Aldo Lee, Petra Schneider, John A. Quinn
2012	J	`jnl`	Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. IEEE Trans. Medical Imaging 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
2012	B	`conf`	Incremental feature building and classification for image segmentation. ESANN Guillaume Bernard, Michel Verleysen, John Aldo Lee
2012	B	`conf`	Type 1 and 2 symmetric divergences for stochastic neighbor embedding. ESANN John Aldo Lee
2011	J	`jnl`	Advances in artificial neural networks, machine learning, and computational intelligence. Neurocomputing John Aldo Lee, Frank-Michael Schleif, Thomas Martinetz
2011	J	`jnl`	Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising. Neurocomputing Arnaud de Decker, Damien François, Michel Verleysen, John Aldo Lee
2011	Misc	`conf`	Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. ICCS John Aldo Lee, Michel Verleysen
2010	J	`jnl`	A principled approach to image denoising with similarity kernels involving patches. Neurocomputing Arnaud de Decker, John Aldo Lee, Michel Verleysen
2010	J	`jnl`	Advances in computational intelligence and learning (ESANN 2009). Neurocomputing Cecilio Angulo, John Aldo Lee, Frank-Michael Schleif
2010	B	`conf`	Dimensionality reduction by rank preservation. IJCNN Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen
2010	B	`conf`	Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising. ESANN Arnaud de Decker, John Aldo Lee, Damien François, Michel Verleysen
2010	B	`conf`	Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee
2010	J	`jnl`	Scale-independent quality criteria for dimensionality reduction. Pattern Recognit. Lett. John Aldo Lee, Michel Verleysen
2010	B	`conf`	Unsupervised dimensionality reduction: Overview and recent advances. IJCNN John Aldo Lee, Michel Verleysen
2009	B	`conf`	Adaptive anisotropic denoising: a bootstrapped procedure. ESANN John Aldo Lee, Arnaud de Decker, Michel Verleysen
2009	B	`conf`	Patch-based bilateral filter and local m-smoother for image denoising. ESANN Arnaud de Decker, John Aldo Lee, Michel Verleysen
2009	J	`jnl`	Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing John Aldo Lee, Michel Verleysen
2009	—	`conf`	Simbed: Similarity-Based Embedding. ICANN (2) John Aldo Lee, Michel Verleysen
2008	J	`jnl`	Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. Neurocomputing John Aldo Lee, Frédéric Vrins, Michel Verleysen
2008	J	`jnl`	Edge-Preserving Filtering of Images with Low Photon Counts. IEEE Trans. Pattern Anal. Mach. Intell. John Aldo Lee, Xavier Geets, Vincent Grégoire, Anne Bol
2008	—	`conf`	Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. FSDM John Aldo Lee, Michel Verleysen
2008	B	`conf`	Rank-based quality assessment of nonlinear dimensionality reduction. ESANN John Aldo Lee, Michel Verleysen
2007	J	`jnl`	A Minimum-Range Approach to Blind Extraction of Bounded Sources. IEEE Trans. Neural Networks Frédéric Vrins, John Aldo Lee, Michel Verleysen
2007	J	`jnl`	Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen
2006	B	`conf`	Non-orthogonal Support Width ICA. ESANN John Aldo Lee, Frédéric Vrins, Michel Verleysen
2006	J	`jnl`	Unfolding preprocessing for meaningful time series clustering. Neural Networks Geoffroy Simon, John Aldo Lee, Michel Verleysen
2005	—	`conf`	A simple ICA algorithm for non-differentiable contrasts. EUSIPCO John Aldo Lee, Frédéric Vrins, Michel Verleysen
2005	—	`conf`	Can we always trust entropy minima in the ICA context? EUSIPCO Frédéric Vrins, John Aldo Lee, Michel Verleysen
2005	Misc	`conf`	Filtering-Free Blind Separation of Correlated Images. IWANN Frédéric Vrins, John Aldo Lee, Michel Verleysen
2005	J	`jnl`	Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing John Aldo Lee, Michel Verleysen
2004	B	`conf`	Double quantization forecasting method for filling missing data in the CATS time series. IJCNN Geoffroy Simon, John Aldo Lee, Michel Verleysen, Marie Cottrell
2004	B	`conf`	How to project 'circular' manifolds using geodesic distances? ESANN John Aldo Lee, Michel Verleysen
2004	—	`conf`	Non-linear ICA by Using Isometric Dimensionality Reduction. ICA John Aldo Lee, Christian Jutten, Michel Verleysen
2004	J	`jnl`	Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing John Aldo Lee, Amaury Lendasse, Michel Verleysen
2003	—	`—`	Analysis of high-dimensional numerical data: from principal component analysis to non-linear dimensionality reduction and blind source separation. John Aldo Lee
2003	—	`conf`	Improving independent component analysis performances by variable selection. NNSP Frédéric Vrins, John Aldo Lee, Michel Verleysen, Vincent Vigneron, Christian Jutten
2003	B	`conf`	Locally Linear Embedding versus Isotop. ESANN John Aldo Lee, Cédric Archambeau, Michel Verleysen
2003	B	`conf`	On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN Cédric Archambeau, John Aldo Lee, Michel Verleysen
2002	B	`conf`	Curvilinear Distance Analysis versus Isomap. ESANN John Aldo Lee, Amaury Lendasse, Michel Verleysen
2002	J	`jnl`	Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
2002	C	`conf`	Nonlinear Projection with the Isotop Method. ICANN John Aldo Lee, Michel Verleysen
2002	J	`jnl`	Self-organizing maps with recursive neighborhood adaptation. Neural Networks John Aldo Lee, Michel Verleysen
2002	B	`conf`	Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen
2001	B	`conf`	Input data reduction for the prediction of financial time series. ESANN Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen
2000	B	`conf`	A robust non-linear projection method. ESANN John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen
2000	B	`conf`	Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen