Michel Verleysen

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2008
101 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
100EENicolas Delannay, Cédric Archambeau, Michel Verleysen: Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. PAKDD 2008: 527-535
99EECatherine 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)
98EECédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7-9): 1274-1282 (2008)
97EENicolas Delannay, Michel Verleysen: Collaborative filtering with interlaced generalized linear models. Neurocomputing 71(7-9): 1300-1310 (2008)
2007
96 Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007
95EEFrédéric Vrins, Dinh-Tuan Pham, Michel Verleysen: Is the General Form of Renyi's Entropy a Contrast for Source Separation? ICA 2007: 129-136
94EEVanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury: Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. IWANN 2007: 522-529
93EEMichael 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
92EEMichael 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
91EEFabrice 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)
90EEFabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen: Fast Selection of Spectral Variables with B-Spline Compression CoRR abs/0709.3639: (2007)
89EEDamien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen: Resampling methods for parameter-free and robust feature selection with mutual information CoRR abs/0709.3640: (2007)
88EEFabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen: Representation of Functional Data in Neural Networks CoRR abs/0709.3641: (2007)
87EEGeoffroy 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)
86EEEric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen: On the use of self-organizing maps to accelerate vector quantization CoRR abs/math/0701142: (2007)
85EEEric de Bodt, Marie Cottrell, Michel Verleysen: Statistical tools to assess the reliability of self-organizing maps CoRR abs/math/0701144: (2007)
84EEDamien François, Vincent Wertz, Michel Verleysen: The Concentration of Fractional Distances. IEEE Trans. Knowl. Data Eng. 19(7): 873-886 (2007)
83EEFrédéric 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)
82EEFrédéric 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)
81EESylvain 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)
80EECédric Archambeau, Michel Verleysen: Robust Bayesian clustering. Neural Networks 20(1): 129-138 (2007)
79EEAmaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen: Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007)
78EEGeoffroy 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)
77EEGeoffroy 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)
76EEDamien 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)
2006
75EEAmaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen: Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232
74EEDamien François, Vincent Wertz, Michel Verleysen: The permutation test for feature selection by mutual information. ESANN 2006: 239-244
73EEJohn Aldo Lee, Frédéric Vrins, Michel Verleysen: Non-orthogonal Support Width ICA. ESANN 2006: 351-358
72EEGeoffroy Simon, Michel Verleysen: Lag selection for regression models using high-dimensional mutual information. ESANN 2006: 395-400
71EEFrédéric Vrins, Michel Verleysen: Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation. ICA 2006: 262-269
70EEFrédéric Vrins, Michel Verleysen: Minimum Support ICA Using Order Statistics. Part II: Performance Analysis. ICA 2006: 270-277
69EEFrédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen: Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). ICA 2006: 747-754
68EEFabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen: A Functional Approach to Variable Selection in Spectrometric Problems. ICANN (1) 2006: 11-20
67EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50
66EECédric Archambeau, Nicolas Delannay, Michel Verleysen: Robust probabilistic projections. ICML 2006: 33-40
65EENicolas Delannay, Cédric Archambeau, Michel Verleysen: Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. ICPR (2) 2006: 552-535
64EECédric Archambeau, M. Valle, A. Assenza, Michel Verleysen: Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. ISCAS 2006
63EEMarie Cottrell, Michel Verleysen: Advances in Self Organising Maps CoRR abs/cs/0611058: (2006)
62EEFrédéric 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)
61EEMarie Cottrell, Michel Verleysen: Advances in Self-Organizing Maps. Neural Networks 19(6-7): 721-722 (2006)
60EEGeoffroy Simon, John Aldo Lee, Michel Verleysen: Unfolding preprocessing for meaningful time series clustering. Neural Networks 19(6-7): 877-888 (2006)
2005
59EELuh Yen, Denis Vanvyve, Fabien Wouters, Francois Fouss, Michel Verleysen, Marco Saerens: clustering using a random walk based distance measure. ESANN 2005: 317-324
58EEDamien François, Vincent Wertz, Michel Verleysen: Non-Euclidean metrics for similarity search in noisy datasets. ESANN 2005: 339-344
57EEAntti Sorjamaa, Amaury Lendasse, Michel Verleysen: Pruned lazy learning models for time series prediction. ESANN 2005: 509-514
56EECédric Archambeau, Michel Verleysen: Manifold Constrained Variational Mixtures. ICANN (2) 2005: 279-284
55EEAmaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen: LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) 2005: 625-630
54EEFrédéric Vrins, John Aldo Lee, Michel Verleysen: Filtering-Free Blind Separation of Correlated Images. IWANN 2005: 1091-1099
53EEMichel Verleysen, Damien François: The Curse of Dimensionality in Data Mining and Time Series Prediction. IWANN 2005: 758-770
52EECédric Archambeau, Michel Verleysen: Manifold Constrained Finite Gaussian Mixtures. IWANN 2005: 820-828
51EEAmaury 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)
50EEAmaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap methodology for regression model selection. Neurocomputing 64: 161-181 (2005)
49EEFabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen: Representation of functional data in neural networks. Neurocomputing 64: 183-210 (2005)
48EEJohn Aldo Lee, Michel Verleysen: Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing 67: 29-53 (2005)
47EEGeoffroy 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)
46EEFrédéric Vrins, Michel Verleysen: On the entropy minimization of a linear mixture of variables for source separation. Signal Processing 85(5): 1029-1044 (2005)
2004
45EEFrédéric Vrins, Cédric Archambeau, Michel Verleysen: Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? ESANN 2004: 211-216
44EEJohn Aldo Lee, Michel Verleysen: How to project `circular' manifolds using geodesic distances? ESANN 2004: 223-230
43EENicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen: Functional radial basis function networks. ESANN 2004: 313-318
42EEAmaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap for least-square support vector machines. ESANN 2004: 525-530
41EECédric Archambeau, Frédéric Vrins, Michel Verleysen: Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN 2004: 75-80
40EEFrédéric Vrins, Christian Jutten, Michel Verleysen: Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis. ICA 2004: 1017-1014
39EEJohn Aldo Lee, Christian Jutten, Michel Verleysen: Non-linear ICA by Using Isometric Dimensionality Reduction. ICA 2004: 710-717
38EECédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran: Supervised Nonparametric Information Theoretic Classification. ICPR (3) 2004: 414-417
37EECédric 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)
36EEGeoffroy 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)
35EEEric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen: On the use of self-organizing maps to accelerate vector quantization. Neurocomputing 56: 187-203 (2004)
34EEJohn Aldo Lee, Amaury Lendasse, Michel Verleysen: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004)
2003
33EEGeoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Fast approximation of the bootstrap for model selection. ESANN 2003: 475-480
32EEJohn Aldo Lee, Cédric Archambeau, Michel Verleysen: Locally Linear Embedding versus Isotop. ESANN 2003: 527-534
31EECédric Archambeau, John Aldo Lee, Michel Verleysen: On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106
30EEAmaury Lendasse, Vincent Wertz, Michel Verleysen: Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. ICANN 2003: 573-580
29EEGeoffroy Simon, Amaury Lendasse, Michel Verleysen: Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) 2003: 182-189
28EEMichel Verleysen, Damien François, Geoffroy Simon, Vincent Wertz: On the Effects of Dimensionality on Data Analysis with Neural Networks. IWANN (2) 2003: 105-112
27EEAmaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen: Nonlinear Time Series Prediction by Weighted Vector Quantization. International Conference on Computational Science 2003: 417-426
26 Nabil Benoudjit, Michel Verleysen: On the Kernel Widths in Radial-Basis Function Networks. Neural Processing Letters 18(2): 139-154 (2003)
2002
25 Michel Verleysen: ESANN 2002, 10th Eurorean Symposium on Artificial Neural Networks, Bruges, Belgium, April 24-26, 2002, Proceedings ESANN 2002
24 John Aldo Lee, Amaury Lendasse, Michel Verleysen: Curvilinear Distance Analysis versus Isomap. ESANN 2002: 185-192
23 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
22EEJohn Aldo Lee, Michel Verleysen: Nonlinear Projection with the Isotop Method. ICANN 2002: 933-938
21EEEric de Bodt, Marie Cottrell, Michel Verleysen: Statistical tools to assess the reliability of self-organizing maps. Neural Networks 15(8-9): 967-978 (2002)
20EEJohn Aldo Lee, Michel Verleysen: Self-organizing maps with recursive neighborhood adaptation. Neural Networks 15(8-9): 993-1003 (2002)
19EEMichel Verleysen, Joos Vandewalle: Special issue on fundamental and information processing aspects of neurocomputing. Neurocomputing 48(1-4): 1-2 (2002)
18EEAmaury 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)
2001
17EEAmaury 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
16EEC. Dualibe, Paul G. A. Jespers, Michel Verleysen: Embedded fuzzy control for automatic channel equalization after digital transmissions. ISCAS (3) 2001: 173-176
2000
15EEJohn Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen: A robust non-linear projection method. ESANN 2000: 13-20
14EEAmaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen: Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN 2000: 329-334
1999
13EEEric de Bodt, Marie Cottrell, Michel Verleysen: Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. ESANN 1999: 19-26
12EENicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Extraction of intrinsic dimension using CCA - Application to blind sources separation. ESANN 1999: 339-344
11 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
10EEAmaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire: Forecasting time-series by Kohonen classification. ESANN 1998: 221-226
9EEC. 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)
1997
8 Michel Verleysen: ESANN 1997, 5th Eurorean Symposium on Artificial Neural Networks, Bruges, Belgium, April 16-18, 1997, Proceedings D-Facto public 1997
7 Eric de Bodt, Michel Verleysen, Marie Cottrell: Kohonen maps versus vector quantization for data analysis. ESANN 1997
6EEKaterina Hlavácková-Schindler, Michel Verleysen: Placing spline knots in neural networks using splines as activation functions. Neurocomputing 17(3-4): 159-166 (1997)
1995
5 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
4 Philippe Thissen, Michel Verleysen, Jean-Didier Legat, Jordi Madrenas, Jordi Domínguez: A VLSI System for Neural Bayesian and LVQ Classification. IWANN 1995: 696-703
3 Philippe Thissen, Michel Verleysen, Jean-Didier Legat: An Associative Processor Dedicated to Classification by Neural Methods. IWANN 1995: 704-711
1993
2 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
1 Michel Verleysen, Paul G. A. Jespers: Analog VLSI Synapse Matrix with Enhanced Stochastic Computations. IWANN 1991: 315-321

Coauthor Index

1C. Amerijckx [9]
2Cédric Archambeau [23] [31] [32] [37] [38] [41] [45] [52] [56] [64] [65] [66] [80] [98] [100]
3A. Assenza [64]
4Nabil Benoudjit [23] [26]
5Michael Biehl [92] [93] [96]
6Eric de Bodt [7] [10] [11] [13] [17] [21] [35] [85] [86]
7Torsten Butz [38]
8Brieuc Conan-Guez [43] [49] [88]
9Francesco Corona [75]
10Marie Cottrell [7] [10] [13] [21] [35] [36] [47] [61] [63] [78] [85] [86] [87]
11Arnaud de Decker [101]
12Nicolas Delannay [43] [49] [65] [66] [88] [97] [98] [100]
13Jean Delbeke [37]
14Jordi Domínguez [4]
15Nicolas Donckers [12] [15]
16C. Dualibe [16]
17Deniz Erdogmus [69]
18Bernard Fertil [81]
19Jérôme Fleury [94]
20Jean-Claude Fort [36] [47] [87]
21Francois Fouss [59]
22Damien François [27] [28] [51] [53] [58] [68] [74] [76] [84] [89] [90] [91] [99]
23Alain Giron [81]
24Vanessa Gómez-Verdejo [94]
25Philippe Grégoire [10]
26Alberto Guillén [67]
27Barbara Hammer [92] [93] [96]
28Jin Hao [75]
29Luis Javier Herrera [67]
30Katerina Hlavácková-Schindler [6]
31Paul G. A. Jespers [1] [16]
32Yongnan Ji [55]
33Christian Jutten [39] [40] [69]
34Catherine Krier [99]
35Gael de Lannoy [101]
36John Aldo Lee [14] [15] [17] [18] [20] [22] [23] [24] [31] [32] [34] [39] [44] [48] [54] [60] [73] [78] [82]
37Jean-Didier Legat [2] [3] [4] [5] [9]
38Amaury Lendasse [10] [11] [12] [14] [15] [17] [18] [23] [24] [27] [29] [30] [33] [34] [36] [42] [47] [50] [51] [55] [57] [75] [79] [87] [91]
39Sylvain Lespinats [81]
40Patrick Letrémy [35] [86]
41Jordi Madrenas [4]
42Marc Meurens [90]
43Erkki Oja [79]
44Dinh-Tuan Pham (Antoine Dinh-Tuan Pham) [62] [83] [95]
45Héctor Pomares [67]
46Vlad Popovici [38]
47Nima Reyhani [55] [75]
48Fabrice Rossi [43] [49] [68] [76] [88] [89] [90] [91] [99]
49Ignacio Rojas Ruiz (Ignacio Rojas) [67]
50Marco Saerens [59]
51Geoffroy Simon [28] [29] [33] [36] [42] [47] [50] [60] [72] [77] [78] [87]
52Olli Simula [79]
53Antti Sorjamaa [57]
54Jean-Philippe Thiran [38]
55Philippe Thissen [2] [3] [4] [5] [9]
56M. Valle [64]
57Joos Vandewalle [19]
58Denis Vanvyve [59]
59Claude Veraart [37]
60Thomas Villmann [92] [93] [96]
61Jean-Luc Voz [5]
62Frédéric Vrins [40] [41] [45] [46] [54] [62] [69] [70] [71] [73] [82] [83] [95]
63Vincent Wertz [12] [14] [17] [18] [27] [28] [30] [33] [42] [50] [51] [58] [68] [74] [76] [84] [89] [90] [91]
64Fabien Wouters [59]
65Luh Yen [59]

Colors in the list of coauthors

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