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Michel Verleysen
2010 – today
- 2013
[j53]Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse: Feature selection for nonlinear models with extreme learning machines. Neurocomputing 102: 111-124 (2013)- [j52]Benoît Frénay, Gauthier Doquire, Michel Verleysen: Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. Neurocomputing 112: 64-78 (2013)
- [j51]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: 92-108 (2013)
- [j50]Gauthier Doquire, Michel Verleysen: A graph Laplacian based approach to semi-supervised feature selection for regression problems. Neurocomputing 121: 5-13 (2013)
- [j49]Gauthier Doquire, Michel Verleysen: Mutual information-based feature selection for multilabel classification. Neurocomputing 122: 148-155 (2013)
- [j48]Emil Eirola, Gauthier Doquire, Michel Verleysen, Amaury Lendasse: Distance estimation in numerical data sets with missing values. Inf. Sci. 240: 115-128 (2013)
- [c108]Guillaume Bernard, Michel Verleysen, John Aldo Lee: Segmentation with Incremental Classifiers. ICIAP (2) 2013: 81-90
- 2012
- [j47]Gauthier Doquire, Michel Verleysen: Feature selection with missing data using mutual information estimators. Neurocomputing 90: 3-11 (2012)
- [j46]Gael de Lannoy, Damien François, Jean Delbeke, Michel Verleysen: Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification. IEEE Trans. Biomed. Engineering 59(1): 241-247 (2012)
- [c107]Gauthier Doquire, Michel Verleysen: Handling Imprecise Labels in Feature Selection with Graph Laplacian. ICPRAM (1) 2012: 162-169
- [c106]Gauthier Doquire, Michel Verleysen: A Comparison of Multivariate Mutual Information Estimators for Feature Selection. ICPRAM (1) 2012: 176-185
- [i12]Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel: Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports 2(2): 58-83 (2012)
- 2011
- [j45]Gauthier Doquire, Gael de Lannoy, Damien François, Michel Verleysen: Feature Selection for Interpatient Supervised Heart Beat Classification. Comp. Int. and Neurosc. 2011 (2011)
- [j44]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): 1402-1410 (2011)
- [j43]Benoît Frénay, Michel Verleysen: Parameter-insensitive kernel in extreme learning for non-linear support vector regression. Neurocomputing 74(16): 2526-2531 (2011)
- [c105]Gauthier Doquire, Gael de Lannoy, Damien François, Michel Verleysen: Feature Selection for Inter-patient Supervised Heart Beat Classification. BIOSIGNALS 2011: 67-73
- [c104]Gauthier Doquire, Michel Verleysen: Feature Selection with Mutual Information for Uncertain Data. DaWaK 2011: 330-341
- [c103]Gauthier Doquire, Michel Verleysen: Mutual information for feature selection with missing data. ESANN 2011
- [c102]Gauthier Doquire, Michel Verleysen: Mutual information based feature selection for mixed data. ESANN 2011
- [c101]Gael de Lannoy, Damien François, Michel Verleysen: Class-Specific Feature Selection for One-Against-All Multiclass SVMs. ESANN 2011
- [c100]Gauthier Doquire, Michel Verleysen: An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data. KDIR 2011: 394-401
- [c99]
- [c98]Gauthier Doquire, Michel Verleysen: Feature Selection for Multi-label Classification Problems. IWANN (1) 2011: 9-16
- [c97]Gauthier Doquire, Michel Verleysen: Graph Laplacian for Semi-supervised Feature Selection in Regression Problems. IWANN (1) 2011: 248-255
- [c96]Benoît Frénay, Gael de Lannoy, Michel Verleysen: Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. ECML/PKDD (1) 2011: 455-470
- [c95]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille: Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM 2011: 298-307
- [c94]John Aldo Lee, Michel Verleysen: Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. ICCS 2011: 538-547
- [p1]Damien François, Vincent Wertz, Michel Verleysen: Choosing the Metric: A Simple Model Approach. Meta-Learning in Computational Intelligence 2011: 97-115
- 2010
- [j42]Arnaud de Decker, John Aldo Lee, Michel Verleysen: A principled approach to image denoising with similarity kernels involving patches. Neurocomputing 73(7-9): 1199-1209 (2010)
- [j41]John Aldo Lee, Michel Verleysen: Scale-independent quality criteria for dimensionality reduction. Pattern Recognition Letters 31(14): 2248-2257 (2010)
- [c93]Gael de Lannoy, Damien François, Jean Delbeke, Michel Verleysen: Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification. BIOSIGNALS 2010: 13-20
- [c92]Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen: Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. CIARP 2010: 509-516
- [c91]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille: Self Organizing Star (SOS) for health monitoring. ESANN 2010
- [c90]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
- [c89]Benoît Frénay, Michel Verleysen: Using SVMs with randomised feature spaces: an extreme learning approach. ESANN 2010
- [c88]Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, Michel Verleysen: Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. ESANN 2010
- [c87]Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee: Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN 2010
- [c86]John Aldo Lee, Michel Verleysen: Unsupervised dimensionality reduction: Overview and recent advances. IJCNN 2010: 1-8
- [c85]Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen: Dimensionality reduction by rank preservation. IJCNN 2010: 1-8
- [c84]Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille: Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM 2010: 362-375
- [c83]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille: Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM 2010: 405-417
2000 – 2009
- 2009
- [j40]John Aldo Lee, Michel Verleysen: Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing 72(7-9): 1431-1443 (2009)
- [j39]Victor Onclinx, Vincent Wertz, Michel Verleysen: Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity. Neurocomputing 72(7-9): 1444-1454 (2009)
- [j38]Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen: K nearest neighbours with mutual information for simultaneous classification and missing data imputation. Neurocomputing 72(7-9): 1483-1493 (2009)
- [j37]Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury: Information-theoretic feature selection for functional data classification. Neurocomputing 72(16-18): 3580-3589 (2009)
- [j36]Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse: Residual variance estimation in machine learning. Neurocomputing 72(16-18): 3692-3703 (2009)
- [c82]Gael de Lannoy, Michel Verleysen, Jean Delbeke: Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification. BIOSIGNALS 2009: 239-244
- [c81]Michel Verleysen, Fabrice Rossi, Damien François: Advances in Feature Selection with Mutual Information. Similarity-Based Clustering 2009: 52-69
- [c80]Arnaud de Decker, John Aldo Lee, Michel Verleysen: Patch-based bilateral filter and local m-smoother for image denoising. ESANN 2009
- [c79]Benoît Frénay, Gael de Lannoy, Michel Verleysen: Improving the transition modelling in hidden Markov models for ECG segmentation. ESANN 2009
- [c78]Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen: Supervised variable clustering for classification of NIR spectra. ESANN 2009
- [c77]John Aldo Lee, Arnaud de Decker, Michel Verleysen: Adaptive anisotropic denoising: a bootstrapped procedure. ESANN 2009
- [c76]
- [c75]Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen: Fault Prediction in Aircraft Engines Using Self-Organizing Maps. WSOM 2009: 37-44
- [e4]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann (Eds.): Similarity-Based Clustering, Recent Developments and Biomedical Applications [outcome of a Dagstuhl Seminar]. Lecture Notes in Computer Science 5400, Springer 2009, ISBN 978-3-642-01804-6
- [i11]Michel Verleysen, Fabrice Rossi, Damien François: Advances in Feature Selection with Mutual Information. CoRR abs/0909.0635 (2009)
- 2008
- [j35]Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7-9): 1274-1282 (2008)
- [j34]Nicolas Delannay, Michel Verleysen: Collaborative filtering with interlaced generalized linear models. Neurocomputing 71(7-9): 1300-1310 (2008)
- [j33]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): 47-56 (2008)
- [j32]John Aldo Lee, Michel Verleysen: Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. Journal of Machine Learning Research - Proceedings Track 4: 21-35 (2008)
- [j31]Dinh-Tuan Pham, Frédéric Vrins, Michel Verleysen: On the Risk of Using RÉnyi's Entropy for Blind Source Separation. IEEE Transactions on Signal Processing 56(10-1): 4611-4620 (2008)
- [c74]Gael de Lannoy, Arnaud de Decker, Michel Verleysen: A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG. BIOSIGNALS (1) 2008: 140-145
- [c73]Gael de Lannoy, Arnaud de Decker, Michel Verleysen: A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs. BIOSTEC (Selected Papers) 2008: 256-264
- [c72]Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen: Using the Delta Test for Variable Selection. ESANN 2008: 25-30
- [c71]Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen: K-nearest neighbours based on mutual information for incomplete data classification. ESANN 2008: 37-42
- [c70]Victor Onclinx, Vincent Wertz, Michel Verleysen: Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity. ESANN 2008: 43-48
- [c69]John Aldo Lee, Michel Verleysen: Rank-based quality assessment of nonlinear dimensionality reduction. ESANN 2008: 49-54
- [c68]Rui Nian, Guangrong Ji, Michel Verleysen: An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis. FSKD (2) 2008: 14-18
- [c67]Rui Nian, Guangrong Ji, Michel Verleysen: An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis. ICIC (2) 2008: 693-700
- [c66]Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. PAKDD 2008: 527-535
- [i10]Catherine Krier, Fabrice Rossi, Damien François, Michel Verleysen: A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis. CoRR abs/0802.0287 (2008)
- 2007
- [j30]Geoffroy Simon, Michel Verleysen: High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. Neurocomputing 70(7-9): 1265-1275 (2007)
- [j29]Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen: Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing 70(7-9): 1276-1288 (2007)
- [j28]Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen: Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007)
- [j27]Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen: Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing 70(13-15): 2400-2409 (2007)
- [j26]Cédric Archambeau, Michel Verleysen: Robust Bayesian clustering. Neural Networks 20(1): 129-138 (2007)
- [j25]Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen: Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation. IEEE Transactions on Information Theory 53(3): 1030-1042 (2007)
- [j24]Damien François, Vincent Wertz, Michel Verleysen: The Concentration of Fractional Distances. IEEE Trans. Knowl. Data Eng. 19(7): 873-886 (2007)
- [j23]Frédéric Vrins, John Aldo Lee, Michel Verleysen: A Minimum-Range Approach to Blind Extraction of Bounded Sources. IEEE Transactions on Neural Networks 18(3): 809-822 (2007)
- [j22]Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil: DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. IEEE Transactions on Neural Networks 18(5): 1265-1279 (2007)
- [c65]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: 07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007
- [c64]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: 07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007
- [c63]Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen: Feature clustering and mutual information for the selection of variables in spectral data. ESANN 2007: 157-162
- [c62]Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. ESANN 2007: 229-234
- [c61]Nicolas Delannay, Michel Verleysen: Collaborative Filtering with interlaced Generalized Linear Models. ESANN 2007: 247-252
- [c60]Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen: Is the General Form of Renyi's Entropy a Contrast for Source Separation? ICA 2007: 129-136
- [c59]Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury: Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. IWANN 2007: 522-529
- [e3]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann (Eds.): Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007. Dagstuhl Seminar Proceedings 07131, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007
- [i9]Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen: Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. CoRR abs/0709.3427 (2007)
- [i8]Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen: Fast Selection of Spectral Variables with B-Spline Compression. CoRR abs/0709.3639 (2007)
- [i7]Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen: Resampling methods for parameter-free and robust feature selection with mutual information. CoRR abs/0709.3640 (2007)
- [i6]Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen: Representation of Functional Data in Neural Networks. CoRR abs/0709.3641 (2007)
- [i5]Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen: Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps. CoRR abs/cs/0701052 (2007)
- [i4]Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen: On the use of self-organizing maps to accelerate vector quantization. CoRR abs/math/0701142 (2007)
- [i3]Eric de Bodt, Marie Cottrell, Michel Verleysen: Statistical tools to assess the reliability of self-organizing maps. CoRR abs/math/0701144 (2007)
- 2006
- [j21]Marie Cottrell, Michel Verleysen: Advances in Self-Organizing Maps. Neural Networks 19(6-7): 721-722 (2006)
- [j20]Geoffroy Simon, John Aldo Lee, Michel Verleysen: Unfolding preprocessing for meaningful time series clustering. Neural Networks 19(6-7): 877-888 (2006)
- [c58]Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen: Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232
- [c57]Damien François, Vincent Wertz, Michel Verleysen: The permutation test for feature selection by mutual information. ESANN 2006: 239-244
- [c56]John Aldo Lee, Frédéric Vrins, Michel Verleysen: Non-orthogonal Support Width ICA. ESANN 2006: 351-358
- [c55]Geoffroy Simon, Michel Verleysen: Lag selection for regression models using high-dimensional mutual information. ESANN 2006: 395-400
- [c54]Frédéric Vrins, Michel Verleysen: Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation. ICA 2006: 262-269
- [c53]Frédéric Vrins, Michel Verleysen: Minimum Support ICA Using Order Statistics. Part II: Performance Analysis. ICA 2006: 270-277
- [c52]Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen: Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). ICA 2006: 747-754
- [c51]Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen: A Functional Approach to Variable Selection in Spectrometric Problems. ICANN (1) 2006: 11-20
- [c50]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50
- [c49]Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Robust probabilistic projections. ICML 2006: 33-40
- [c48]Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. ICPR (2) 2006: 552-535
- [c47]Cédric Archambeau, M. Valle, A. Assenza, Michel Verleysen: Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. ISCAS 2006
- [i2]
- [i1]Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen: Mixing and non-mixing local minima of the entropy contrast for blind source separation. CoRR abs/cs/0611106 (2006)
- 2005
- [j19]Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen: Vector quantization: a weighted version for time-series forecasting. Future Generation Comp. Syst. 21(7): 1056-1067 (2005)
- [j18]Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap methodology for regression model selection. Neurocomputing 64: 161-181 (2005)
- [j17]Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen: Representation of functional data in neural networks. Neurocomputing 64: 183-210 (2005)
- [j16]John Aldo Lee, Michel Verleysen: Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing 67: 29-53 (2005)
- [j15]Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen: Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognition Letters 26(12): 1795-1808 (2005)
- [j14]Frédéric Vrins, Michel Verleysen: On the entropy minimization of a linear mixture of variables for source separation. Signal Processing 85(5): 1029-1044 (2005)
- [c46]Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens: clustering using a random walk based distance measure. ESANN 2005: 317-324
- [c45]Damien François, Vincent Wertz, Michel Verleysen: Non-Euclidean metrics for similarity search in noisy datasets. ESANN 2005: 339-344
- [c44]Antti Sorjamaa, Amaury Lendasse, Michel Verleysen: Pruned lazy learning models for time series prediction. ESANN 2005: 509-514
- [c43]Cédric Archambeau, Michel Verleysen: Manifold Constrained Variational Mixtures. ICANN (2) 2005: 279-284
- [c42]Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen: LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) 2005: 625-630
- [c41]Dinh-Tuan Pham, Frédéric Vrins, Michel Verleysen: Spurious entropy minima for multimodal source separation. ISSPA 2005: 37-40
- [c40]Michel Verleysen, Damien François: The Curse of Dimensionality in Data Mining and Time Series Prediction. IWANN 2005: 758-770
- [c39]Cédric Archambeau, Michel Verleysen: Manifold Constrained Finite Gaussian Mixtures. IWANN 2005: 820-828
- [c38]Frédéric Vrins, John Aldo Lee, Michel Verleysen: Filtering-Free Blind Separation of Correlated Images. IWANN 2005: 1091-1099
- 2004
- [j13]Cédric Archambeau, Jean Delbeke, Claude Veraart, Michel Verleysen: Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. Artificial Intelligence in Medicine 32(3): 183-194 (2004)
- [j12]Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen: On the use of self-organizing maps to accelerate vector quantization. Neurocomputing 56: 187-203 (2004)
- [j11]John Aldo Lee, Amaury Lendasse, Michel Verleysen: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004)
- [j10]Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen: Double quantization of the regressor space for long-term time series prediction: method and proof of stability. Neural Networks 17(8-9): 1169-1181 (2004)
- [c37]Cédric Archambeau, Frédéric Vrins, Michel Verleysen: Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN 2004: 75-80
- [c36]Frédéric Vrins, Cédric Archambeau, Michel Verleysen: Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? ESANN 2004: 211-216
- [c35]John Aldo Lee, Michel Verleysen: How to project `circular' manifolds using geodesic distances? ESANN 2004: 223-230
- [c34]Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen: Functional radial basis function networks. ESANN 2004: 313-318
- [c33]Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap for least-square support vector machines. ESANN 2004: 525-530
- [c32]John Aldo Lee, Christian Jutten, Michel Verleysen: Non-linear ICA by Using Isometric Dimensionality Reduction. ICA 2004: 710-717
- [c31]Frédéric Vrins, Christian Jutten, Michel Verleysen: Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis. ICA 2004: 1017-1014
- [c30]Cédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran: Supervised Nonparametric Information Theoretic Classification. ICPR (3) 2004: 414-417
- 2003
- [b1]Carlos Dualibe, Michel Verleysen, Paul G. A. Jespers: Design of analog fuzzy logic controllers in CMOS technologies - implementation, test and application. Kluwer 2003, pp. I-VIII, 1-214
- [j9]Nabil Benoudjit, Michel Verleysen: On the Kernel Widths in Radial-Basis Function Networks. Neural Processing Letters 18(2): 139-154 (2003)
- [c29]Cédric Archambeau, John Aldo Lee, Michel Verleysen: On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106
- [c28]Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Fast approximation of the bootstrap for model selection. ESANN 2003: 475-480
- [c27]John Aldo Lee, Cédric Archambeau, Michel Verleysen: Locally Linear Embedding versus Isotop. ESANN 2003: 527-534
- [c26]Amaury Lendasse, Vincent Wertz, Michel Verleysen: Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. ICANN 2003: 573-580
- [c25]Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen: Nonlinear Time Series Prediction by Weighted Vector Quantization. International Conference on Computational Science 2003: 417-426
- [c24]Michel Verleysen, Damien François, Geoffroy Simon, Vincent Wertz: On the Effects of Dimensionality on Data Analysis with Neural Networks. IWANN (2) 2003: 105-112
- [c23]Geoffroy Simon, Amaury Lendasse, Michel Verleysen: Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) 2003: 182-189
- 2002
- [j8]Michel Verleysen, Joos Vandewalle: Special issue on fundamental and information processing aspects of neurocomputing. Neurocomputing 48(1-4): 1-2 (2002)
- [j7]Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen: Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing 48(1-4): 299-311 (2002)
- [j6]Eric de Bodt, Marie Cottrell, Michel Verleysen: Statistical tools to assess the reliability of self-organizing maps. Neural Networks 15(8-9): 967-978 (2002)
- [j5]John Aldo Lee, Michel Verleysen: Self-organizing maps with recursive neighborhood adaptation. Neural Networks 15(8-9): 993-1003 (2002)
- [c22]John Aldo Lee, Amaury Lendasse, Michel Verleysen: Curvilinear Distance Analysis versus Isomap. ESANN 2002: 185-192
- [c21]Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen: Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN 2002: 425-432
- [c20]
- [e2]Michel Verleysen (Ed.): ESANN 2002, 10th Eurorean Symposium on Artificial Neural Networks, Bruges, Belgium, April 24-26, 2002, Proceedings. 2002, ISBN 2-930307-02-1
- 2001
- [c19]Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen: Input data reduction for the prediction of financial time series. ESANN 2001: 237-244
- [c18]Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen: Embedded fuzzy control for automatic channel equalization after digital transmissions. ISCAS (3) 2001: 173-176
- 2000
- [c17]John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen: A robust non-linear projection method. ESANN 2000: 13-20
- [c16]Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen: Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN 2000: 329-334
1990 – 1999
- 1999
- [c15]Eric de Bodt, Marie Cottrell, Michel Verleysen: Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. ESANN 1999: 19-26
- [c14]Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Extraction of intrinsic dimension using CCA - Application to blind sources separation. ESANN 1999: 339-344
- [c13]Michel Verleysen, Eric de Bodt, Amaury Lendasse: Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. IWANN (2) 1999: 596-605
- 1998
- [j4]C. Amerijckx, Michel Verleysen, Philippe Thissen, Jean-Didier Legat: Image compression by self-organized Kohonen map. IEEE Transactions on Neural Networks 9(3): 503-507 (1998)
- [c12]Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire: Forecasting time-series by Kohonen classification. ESANN 1998: 221-226
- 1997
- [j3]Katerina Hlavácková-Schindler, Michel Verleysen: Placing spline knots in neural networks using splines as activation functions. Neurocomputing 17(3-4): 159-166 (1997)
- [c11]Eric de Bodt, Michel Verleysen, Marie Cottrell: Kohonen maps versus vector quantization for data analysis. ESANN 1997
- [e1]Michel Verleysen (Ed.): ESANN 1997, 5th Eurorean Symposium on Artificial Neural Networks, Bruges, Belgium, April 16-18, 1997, Proceedings. D-Facto public 1997, ISBN 2-9600049-7-3
- 1995
- [j2]
- [c10]Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat: Suboptimal Bayesian classification by vector quantization with small clusters. ESANN 1995
- [c9]Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat: A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels. IWANN 1995: 404-411
- [c8]Philippe Thissen, Michel Verleysen, Jean-Didier Legat, Jordi Madrenas, Jordi Domínguez: A VLSI System for Neural Bayesian and LVQ Classification. IWANN 1995: 696-703
- [c7]Philippe Thissen, Michel Verleysen, Jean-Didier Legat: An Associative Processor Dedicated to Classification by Neural Methods. IWANN 1995: 704-711
- 1994
- [j1]
- [c6]Pierre Comon, Jean-Luc Voz, Michel Verleysen: Estimation of performance bounds in supervised classification. ESANN 1994
- [c5]Michel Verleysen, Katerina Hlavácková-Schindler: An optimized RBF network for approximation of functions. ESANN 1994
- 1993
- [c4]Benoît Simon, Benoît Macq, Michel Verleysen: Laplacian pyramid with multilayer perceptrons interpolators. ESANN 1993
- [c3]Michel Verleysen, Philippe Thissen, Jean-Didier Legat: Optimal decision surfaces in LVQ1 classiffication of patterns. ESANN 1993
- [c2]Michel Verleysen, Philippe Thissen, Jean-Didier Legat: Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns. IWANN 1993: 340-345
- 1991
- [c1]Michel Verleysen, Paul G. A. Jespers: Analog VLSI Synapse Matrix with Enhanced Stochastic Computations. IWANN 1991: 315-321
Coauthor Index
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last updated on 2013-10-02 11:14 CEST by the dblp team