292 results on '"Luis Javier Herrera"'
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52. Color Fuzzy Set Design for dental applications.
53. Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator.
54. LAS CONSULTAS POPULARES UN MECANISMO DE PARTICIPACIÓN CIUDADANA: UNA REVISIÓN DE SU APLICACIÓN EN MÉXICO (THE REFERENDUM CAMPAIGNS A MECHANISM FOR CITIZEN PARTICIPATION: A REVIEW OF ITS APPLICATION IN MEXICO)
55. Variable Selection in a GPU Cluster Using Delta Test.
56. Using Takagi-Sugeno-Kang approximation fuzzy logic for evaluating the performance of color difference formulas in dentistry.
57. Symbolic representation of the EEG for sleep stage classification.
58. Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction.
59. Data Recycling of Historical Records and Integration in New Information Systems in Cardiology ervice.
60. Statement of Peer Review
61. Sleeping with ants, SVMs, multilayer perceptrons and SOMs.
62. Predicting marital dissolutions using radial basis function neural networks.
63. Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips.
64. Applying support vector machines and mutual information to book losses prediction.
65. Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.
66. Strengthening the Forward Variable Selection Stopping Criterion.
67. Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection.
68. Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.
69. Global and Local Modelling in Radial Basis Functions Networks.
70. Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks.
71. A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades.
72. A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes.
73. On Incorporating Seasonal Information on Recursive Time Series Predictors.
74. A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application.
75. Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.
76. Kernel Methods Applied to Time Series Forecasting.
77. A First Approach to Birth Weight Prediction Using RBFNNs.
78. Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.
79. Effective Input Variable Selection for Function Approximation.
80. A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design.
81. Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation.
82. Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction.
83. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems.
84. Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach.
85. Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
86. Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.
87. Input Variable Selection in Hierarchical RBF Networks.
88. TaSe Model for Long Term Time Series Forecasting.
89. Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
90. Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals.
91. Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
92. A Possibilistic Approach to RBFN Centers Initialization.
93. New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.
94. Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
95. Fine control of monotonic systems using a global self-learning adaptive fuzzy controller.
96. MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
97. The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
98. MultiGrid-Based Fuzzy Systems for Function Approximation.
99. Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
100. Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals
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