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Michel Verleysen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Eric de Bodt, Marie Cottrell, Michel Verleysen
    Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:19-26 [Conf]
  2. Eric de Bodt, Michel Verleysen, Marie Cottrell
    Kohonen maps versus vector quantization for data analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 1997, pp:- [Conf]
  3. Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen
    Width optimization of the Gaussian kernels in Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:425-432 [Conf]
  4. Cédric Archambeau, John Aldo Lee, Michel Verleysen
    On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:99-106 [Conf]
  5. Cédric Archambeau, Frédéric Vrins, Michel Verleysen
    Flexible and Robust Bayesian Classification by Finite Mixture Models. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:75-80 [Conf]
  6. Damien François, Vincent Wertz, Michel Verleysen
    Non-Euclidean metrics for similarity search in noisy datasets. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:339-344 [Conf]
  7. Damien François, Vincent Wertz, Michel Verleysen
    The permutation test for feature selection by mutual information. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:239-244 [Conf]
  8. Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen
    Functional radial basis function networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:313-318 [Conf]
  9. Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen
    Extraction of intrinsic dimension using CCA - Application to blind sources separation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:339-344 [Conf]
  10. Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
    Determination of the Mahalanobis matrix using nonparametric noise estimations. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:227-232 [Conf]
  11. John Aldo Lee, Cédric Archambeau, Michel Verleysen
    Locally Linear Embedding versus Isotop. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:527-534 [Conf]
  12. John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen
    A robust non-linear projection method. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:13-20 [Conf]
  13. John Aldo Lee, Amaury Lendasse, Michel Verleysen
    Curvilinear Distance Analysis versus Isomap. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:185-192 [Conf]
  14. John Aldo Lee, Michel Verleysen
    How to project `circular' manifolds using geodesic distances? [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:223-230 [Conf]
  15. John Aldo Lee, Frédéric Vrins, Michel Verleysen
    Non-orthogonal Support Width ICA. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:351-358 [Conf]
  16. Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen
    Input data reduction for the prediction of financial time series. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:237-244 [Conf]
  17. Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
    Time series forecasting using CCA and Kohonen maps - application to electricity consumption. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:329-334 [Conf]
  18. Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
    Fast bootstrap for least-square support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:525-530 [Conf]
  19. Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire
    Forecasting time-series by Kohonen classification. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:221-226 [Conf]
  20. Antti Sorjamaa, Amaury Lendasse, Michel Verleysen
    Pruned lazy learning models for time series prediction. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:509-514 [Conf]
  21. Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen
    Fast approximation of the bootstrap for model selection. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:475-480 [Conf]
  22. Geoffroy Simon, Michel Verleysen
    Lag selection for regression models using high-dimensional mutual information. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:395-400 [Conf]
  23. Frédéric Vrins, Cédric Archambeau, Michel Verleysen
    Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:211-216 [Conf]
  24. Luh Yen, Denis Vanvyve, Fabien Wouters, Francois Fouss, Michel Verleysen, Marco Saerens
    clustering using a random walk based distance measure. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:317-324 [Conf]
  25. John Aldo Lee, Christian Jutten, Michel Verleysen
    Non-linear ICA by Using Isometric Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:710-717 [Conf]
  26. Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen
    Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:747-754 [Conf]
  27. Frédéric Vrins, Christian Jutten, Michel Verleysen
    Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:1017-1014 [Conf]
  28. Frédéric Vrins, Michel Verleysen
    Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:262-269 [Conf]
  29. Frédéric Vrins, Michel Verleysen
    Minimum Support ICA Using Order Statistics. Part II: Performance Analysis. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:270-277 [Conf]
  30. Cédric Archambeau, Michel Verleysen
    Manifold Constrained Variational Mixtures. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:279-284 [Conf]
  31. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén
    Effective Input Variable Selection for Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:41-50 [Conf]
  32. John Aldo Lee, Michel Verleysen
    Nonlinear Projection with the Isotop Method. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:933-938 [Conf]
  33. Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen
    LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:625-630 [Conf]
  34. Amaury Lendasse, Vincent Wertz, Michel Verleysen
    Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:573-580 [Conf]
  35. Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen
    A Functional Approach to Variable Selection in Spectrometric Problems. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:11-20 [Conf]
  36. Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
    Nonlinear Time Series Prediction by Weighted Vector Quantization. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2003, pp:417-426 [Conf]
  37. Cédric Archambeau, Nicolas Delannay, Michel Verleysen
    Robust probabilistic projections. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:33-40 [Conf]
  38. Cédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran
    Supervised Nonparametric Information Theoretic Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:414-417 [Conf]
  39. Nicolas Delannay, Cédric Archambeau, Michel Verleysen
    Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:552-535 [Conf]
  40. C. Dualibe, Paul G. A. Jespers, Michel Verleysen
    Embedded fuzzy control for automatic channel equalization after digital transmissions. [Citation Graph (0, 0)][DBLP]
    ISCAS (3), 2001, pp:173-176 [Conf]
  41. Cédric Archambeau, Michel Verleysen
    Manifold Constrained Finite Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:820-828 [Conf]
  42. Geoffroy Simon, Amaury Lendasse, Michel Verleysen
    Bootstrap for Model Selection: Linear Approximation of the Optimism. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:182-189 [Conf]
  43. Michel Verleysen, Eric de Bodt, Amaury Lendasse
    Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:596-605 [Conf]
  44. Michel Verleysen, Damien François
    The Curse of Dimensionality in Data Mining and Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:758-770 [Conf]
  45. Michel Verleysen, Philippe Thissen, Jean-Didier Legat
    Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:340-345 [Conf]
  46. Michel Verleysen, Damien François, Geoffroy Simon, Vincent Wertz
    On the Effects of Dimensionality on Data Analysis with Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:105-112 [Conf]
  47. Michel Verleysen, Paul G. A. Jespers
    Analog VLSI Synapse Matrix with Enhanced Stochastic Computations. [Citation Graph (0, 0)][DBLP]
    IWANN, 1991, pp:315-321 [Conf]
  48. Philippe Thissen, Michel Verleysen, Jean-Didier Legat
    An Associative Processor Dedicated to Classification by Neural Methods. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:704-711 [Conf]
  49. Philippe Thissen, Michel Verleysen, Jean-Didier Legat, Jordi Madrenas, Jordi Domínguez
    A VLSI System for Neural Bayesian and LVQ Classification. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:696-703 [Conf]
  50. Frédéric Vrins, John Aldo Lee, Michel Verleysen
    Filtering-Free Blind Separation of Correlated Images. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:1091-1099 [Conf]
  51. Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat
    A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:404-411 [Conf]
  52. Cédric Archambeau, Jean Delbeke, Claude Veraart, Michel Verleysen
    Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:32, n:3, pp:183-194 [Journal]
  53. Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
    Vector quantization: a weighted version for time-series forecasting. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2005, v:21, n:7, pp:1056-1067 [Journal]
  54. Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
    On the use of self-organizing maps to accelerate vector quantization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:187-203 [Journal]
  55. Katerina Hlavácková-Schindler, Michel Verleysen
    Placing spline knots in neural networks using splines as activation functions. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:17, n:3-4, pp:159-166 [Journal]
  56. John Aldo Lee, Amaury Lendasse, Michel Verleysen
    Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:49-76 [Journal]
  57. John Aldo Lee, Michel Verleysen
    Nonlinear dimensionality reduction of data manifolds with essential loops. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:67, n:, pp:29-53 [Journal]
  58. Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
    Forecasting electricity consumption using nonlinear projection and self-organizing maps. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:299-311 [Journal]
  59. Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
    Fast bootstrap methodology for regression model selection. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:161-181 [Journal]
  60. Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen
    Representation of functional data in neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:183-210 [Journal]
  61. Michel Verleysen, Joos Vandewalle
    Special issue on fundamental and information processing aspects of neurocomputing. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:1-2 [Journal]
  62. Eric de Bodt, Marie Cottrell, Michel Verleysen
    Statistical tools to assess the reliability of self-organizing maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:967-978 [Journal]
  63. John Aldo Lee, Michel Verleysen
    Self-organizing maps with recursive neighborhood adaptation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:993-1003 [Journal]
  64. 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. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1169-1181 [Journal]
  65. Marie Cottrell, Michel Verleysen
    Advances in Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:6-7, pp:721-722 [Journal]
  66. Geoffroy Simon, John Aldo Lee, Michel Verleysen
    Unfolding preprocessing for meaningful time series clustering. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:6-7, pp:877-888 [Journal]
  67. Cédric Archambeau, Michel Verleysen
    Robust Bayesian clustering. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:1, pp:129-138 [Journal]
  68. Nabil Benoudjit, Michel Verleysen
    On the Kernel Widths in Radial-Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:18, n:2, pp:139-154 [Journal]
  69. Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
    Time series forecasting: Obtaining long term trends with self-organizing maps. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:12, pp:1795-1808 [Journal]
  70. Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen
    Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2007, v:53, n:3, pp:1030-1042 [Journal]
  71. Damien François, Vincent Wertz, Michel Verleysen
    The Concentration of Fractional Distances. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:7, pp:873-886 [Journal]
  72. Frédéric Vrins, Michel Verleysen
    On the entropy minimization of a linear mixture of variables for source separation. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:5, pp:1029-1044 [Journal]
  73. Cédric Archambeau, M. Valle, A. Assenza, Michel Verleysen
    Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. [Citation Graph (0, 0)][DBLP]
    ISCAS, 2006, pp:- [Conf]
  74. Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury
    Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:522-529 [Conf]
  75. Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
    Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  76. Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
    On the use of self-organizing maps to accelerate vector quantization [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  77. Eric de Bodt, Marie Cottrell, Michel Verleysen
    Statistical tools to assess the reliability of self-organizing maps [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  78. Marie Cottrell, Michel Verleysen
    Advances in Self Organising Maps [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  79. Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen
    Mixing and non-mixing local minima of the entropy contrast for blind source separation [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  80. Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
    Mutual information for the selection of relevant variables in spectrometric nonlinear modelling [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  81. Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen
    Fast Selection of Spectral Variables with B-Spline Compression [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  82. Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen
    Resampling methods for parameter-free and robust feature selection with mutual information [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  83. Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen
    Representation of Functional Data in Neural Networks [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  84. Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen
    Resampling methods for parameter-free and robust feature selection with mutual information. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1276-1288 [Journal]
  85. Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen
    Forecasting the CATS benchmark with the Double Vector Quantization method. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2400-2409 [Journal]
  86. Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen
    Time series prediction competition: The CATS benchmark. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2325-2329 [Journal]
  87. Geoffroy Simon, Michel Verleysen
    High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1265-1275 [Journal]

  88. 07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. [Citation Graph (, )][DBLP]


  89. 07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. [Citation Graph (, )][DBLP]


  90. Advances in Feature Selection with Mutual Information. [Citation Graph (, )][DBLP]


  91. Mixtures of robust probabilistic principal component analyzers. [Citation Graph (, )][DBLP]


  92. Collaborative Filtering with interlaced Generalized Linear Models. [Citation Graph (, )][DBLP]


  93. Feature clustering and mutual information for the selection of variables in spectral data. [Citation Graph (, )][DBLP]


  94. Using the Delta Test for Variable Selection. [Citation Graph (, )][DBLP]


  95. Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity. [Citation Graph (, )][DBLP]


  96. Rank-based quality assessment of nonlinear dimensionality reduction. [Citation Graph (, )][DBLP]


  97. K-nearest neighbours based on mutual information for incomplete data classification. [Citation Graph (, )][DBLP]


  98. An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis. [Citation Graph (, )][DBLP]


  99. Is the General Form of Renyi's Entropy a Contrast for Source Separation? [Citation Graph (, )][DBLP]


  100. Simbed: Similarity-Based Embedding. [Citation Graph (, )][DBLP]


  101. An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis. [Citation Graph (, )][DBLP]


  102. Trajectory Clustering for Vibration Detection in Aircraft Engines. [Citation Graph (, )][DBLP]


  103. Aircraft Engine Health Monitoring Using Self-Organizing Maps. [Citation Graph (, )][DBLP]


  104. Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. [Citation Graph (, )][DBLP]


  105. A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG. [Citation Graph (, )][DBLP]


  106. Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification. [Citation Graph (, )][DBLP]


  107. A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs. [Citation Graph (, )][DBLP]


  108. Fault Prediction in Aircraft Engines Using Self-Organizing Maps. [Citation Graph (, )][DBLP]


  109. A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis [Citation Graph (, )][DBLP]


  110. Advances in Feature Selection with Mutual Information [Citation Graph (, )][DBLP]


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