2009 | ||
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122 | Gael de Lannoy, Michel Verleysen, Jean Delbeke: Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification. BIOSIGNALS 2009: 239-244 | |
121 | John Aldo Lee, Michel Verleysen: Simbed: Similarity-Based Embedding. ICANN (2) 2009: 95-104 | |
120 | 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 | |
119 | Michel Verleysen, Fabrice Rossi, Damien François: Advances in Feature Selection with Mutual Information CoRR abs/0909.0635: (2009) | |
118 | Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury: Information-theoretic feature selection for functional data classification. Neurocomputing 72(16-18): 3580-3589 (2009) | |
117 | Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse: Residual variance estimation in machine learning. Neurocomputing 72(16-18): 3692-3703 (2009) | |
116 | John Aldo Lee, Michel Verleysen: Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing 72(7-9): 1431-1443 (2009) | |
115 | 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) | |
114 | 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) | |
2008 | ||
113 | 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 | |
112 | 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 | |
111 | Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen: Using the Delta Test for Variable Selection. ESANN 2008: 25-30 | |
110 | 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 | |
109 | Victor Onclinx, Vincent Wertz, Michel Verleysen: Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity. ESANN 2008: 43-48 | |
108 | John Aldo Lee, Michel Verleysen: Rank-based quality assessment of nonlinear dimensionality reduction. ESANN 2008: 49-54 | |
107 | Rui Nian, Guangrong Ji, Michel Verleysen: An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis. FSKD (2) 2008: 14-18 | |
106 | Rui Nian, Guangrong Ji, Michel Verleysen: An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis. ICIC (2) 2008: 693-700 | |
105 | Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. PAKDD 2008: 527-535 | |
104 | 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) | |
103 | 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) | |
102 | Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7-9): 1274-1282 (2008) | |
101 | Nicolas Delannay, Michel Verleysen: Collaborative filtering with interlaced generalized linear models. Neurocomputing 71(7-9): 1300-1310 (2008) | |
100 | 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) | |
2007 | ||
99 | 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 | |
98 | 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 | |
97 | Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. ESANN 2007: 229-234 | |
96 | Nicolas Delannay, Michel Verleysen: Collaborative Filtering with interlaced Generalized Linear Models. ESANN 2007: 247-252 | |
95 | Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen: Is the General Form of Renyi's Entropy a Contrast for Source Separation? ICA 2007: 129-136 | |
94 | Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury: Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. IWANN 2007: 522-529 | |
93 | 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 | |
92 | 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 | |
91 | 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) | |
90 | Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen: Fast Selection of Spectral Variables with B-Spline Compression CoRR abs/0709.3639: (2007) | |
89 | 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) | |
88 | Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen: Representation of Functional Data in Neural Networks CoRR abs/0709.3641: (2007) | |
87 | 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) | |
86 | 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) | |
85 | Eric de Bodt, Marie Cottrell, Michel Verleysen: Statistical tools to assess the reliability of self-organizing maps CoRR abs/math/0701144: (2007) | |
84 | Damien François, Vincent Wertz, Michel Verleysen: The Concentration of Fractional Distances. IEEE Trans. Knowl. Data Eng. 19(7): 873-886 (2007) | |
83 | 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) | |
82 | 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) | |
81 | 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) | |
80 | Cédric Archambeau, Michel Verleysen: Robust Bayesian clustering. Neural Networks 20(1): 129-138 (2007) | |
79 | Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen: Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007) | |
78 | 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) | |
77 | 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) | |
76 | 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) | |
2006 | ||
75 | Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen: Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232 | |
74 | Damien François, Vincent Wertz, Michel Verleysen: The permutation test for feature selection by mutual information. ESANN 2006: 239-244 | |
73 | John Aldo Lee, Frédéric Vrins, Michel Verleysen: Non-orthogonal Support Width ICA. ESANN 2006: 351-358 | |
72 | Geoffroy Simon, Michel Verleysen: Lag selection for regression models using high-dimensional mutual information. ESANN 2006: 395-400 | |
71 | Frédéric Vrins, Michel Verleysen: Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation. ICA 2006: 262-269 | |
70 | Frédéric Vrins, Michel Verleysen: Minimum Support ICA Using Order Statistics. Part II: Performance Analysis. ICA 2006: 270-277 | |
69 | Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen: Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). ICA 2006: 747-754 | |
68 | Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen: A Functional Approach to Variable Selection in Spectrometric Problems. ICANN (1) 2006: 11-20 | |
67 | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50 | |
66 | Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Robust probabilistic projections. ICML 2006: 33-40 | |
65 | Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. ICPR (2) 2006: 552-535 | |
64 | Cédric Archambeau, M. Valle, A. Assenza, Michel Verleysen: Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. ISCAS 2006 | |
63 | Marie Cottrell, Michel Verleysen: Advances in Self Organising Maps CoRR abs/cs/0611058: (2006) | |
62 | 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) | |
61 | Marie Cottrell, Michel Verleysen: Advances in Self-Organizing Maps. Neural Networks 19(6-7): 721-722 (2006) | |
60 | Geoffroy Simon, John Aldo Lee, Michel Verleysen: Unfolding preprocessing for meaningful time series clustering. Neural Networks 19(6-7): 877-888 (2006) | |
2005 | ||
59 | Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens: clustering using a random walk based distance measure. ESANN 2005: 317-324 | |
58 | Damien François, Vincent Wertz, Michel Verleysen: Non-Euclidean metrics for similarity search in noisy datasets. ESANN 2005: 339-344 | |
57 | Antti Sorjamaa, Amaury Lendasse, Michel Verleysen: Pruned lazy learning models for time series prediction. ESANN 2005: 509-514 | |
56 | Cédric Archambeau, Michel Verleysen: Manifold Constrained Variational Mixtures. ICANN (2) 2005: 279-284 | |
55 | Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen: LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) 2005: 625-630 | |
54 | Frédéric Vrins, John Aldo Lee, Michel Verleysen: Filtering-Free Blind Separation of Correlated Images. IWANN 2005: 1091-1099 | |
53 | Michel Verleysen, Damien François: The Curse of Dimensionality in Data Mining and Time Series Prediction. IWANN 2005: 758-770 | |
52 | Cédric Archambeau, Michel Verleysen: Manifold Constrained Finite Gaussian Mixtures. IWANN 2005: 820-828 | |
51 | 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) | |
50 | Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap methodology for regression model selection. Neurocomputing 64: 161-181 (2005) | |
49 | Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen: Representation of functional data in neural networks. Neurocomputing 64: 183-210 (2005) | |
48 | John Aldo Lee, Michel Verleysen: Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing 67: 29-53 (2005) | |
47 | 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) | |
46 | Frédéric Vrins, Michel Verleysen: On the entropy minimization of a linear mixture of variables for source separation. Signal Processing 85(5): 1029-1044 (2005) | |
2004 | ||
45 | Frédéric Vrins, Cédric Archambeau, Michel Verleysen: Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? ESANN 2004: 211-216 | |
44 | John Aldo Lee, Michel Verleysen: How to project `circular' manifolds using geodesic distances? ESANN 2004: 223-230 | |
43 | Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen: Functional radial basis function networks. ESANN 2004: 313-318 | |
42 | Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap for least-square support vector machines. ESANN 2004: 525-530 | |
41 | Cédric Archambeau, Frédéric Vrins, Michel Verleysen: Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN 2004: 75-80 | |
40 | 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 | |
39 | John Aldo Lee, Christian Jutten, Michel Verleysen: Non-linear ICA by Using Isometric Dimensionality Reduction. ICA 2004: 710-717 | |
38 | Cédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran: Supervised Nonparametric Information Theoretic Classification. ICPR (3) 2004: 414-417 | |
37 | 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) | |
36 | 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) | |
35 | 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) | |
34 | John Aldo Lee, Amaury Lendasse, Michel Verleysen: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004) | |
2003 | ||
33 | Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Fast approximation of the bootstrap for model selection. ESANN 2003: 475-480 | |
32 | John Aldo Lee, Cédric Archambeau, Michel Verleysen: Locally Linear Embedding versus Isotop. ESANN 2003: 527-534 | |
31 | Cédric Archambeau, John Aldo Lee, Michel Verleysen: On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106 | |
30 | 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 | |
29 | Geoffroy Simon, Amaury Lendasse, Michel Verleysen: Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) 2003: 182-189 | |
28 | Michel Verleysen, Damien François, Geoffroy Simon, Vincent Wertz: On the Effects of Dimensionality on Data Analysis with Neural Networks. IWANN (2) 2003: 105-112 | |
27 | Amaury 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 | |
22 | John Aldo Lee, Michel Verleysen: Nonlinear Projection with the Isotop Method. ICANN 2002: 933-938 | |
21 | 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) | |
20 | John Aldo Lee, Michel Verleysen: Self-organizing maps with recursive neighborhood adaptation. Neural Networks 15(8-9): 993-1003 (2002) | |
19 | Michel Verleysen, Joos Vandewalle: Special issue on fundamental and information processing aspects of neurocomputing. Neurocomputing 48(1-4): 1-2 (2002) | |
18 | 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) | |
2001 | ||
17 | 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 | |
16 | C. Dualibe, Paul G. A. Jespers, Michel Verleysen: Embedded fuzzy control for automatic channel equalization after digital transmissions. ISCAS (3) 2001: 173-176 | |
2000 | ||
15 | John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen: A robust non-linear projection method. ESANN 2000: 13-20 | |
14 | 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 | |
1999 | ||
13 | Eric de Bodt, Marie Cottrell, Michel Verleysen: Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. ESANN 1999: 19-26 | |
12 | Nicolas 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 | ||
10 | Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire: Forecasting time-series by Kohonen classification. ESANN 1998: 221-226 | |
9 | 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) | |
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 | |
6 | Katerina 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 |