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Héctor Pomares: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter
    Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:1127-1132 [Conf]
  2. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González
    New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:980-991 [Conf]
  3. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Olga Valenzuela
    Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:613-624 [Conf]
  4. Luis Javier Herrera, Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, Jesús González, Mohammed Awad
    MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:127-132 [Conf]
  5. Ignacio Rojas Ruiz, Mancia Anguita, Eduardo Ros Vidal, Héctor Pomares, Olga Valenzuela, Alberto Prieto
    What are the main factors involved in the design of a Radial Basis Function Network? [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:1-6 [Conf]
  6. Ignacio Rojas Ruiz, Héctor Pomares
    Soft-computing techniques for time series forecasting. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:93-102 [Conf]
  7. Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas, Alberto Prieto
    An Enhanced Self-organizing Controller for Real-time Process-control Applications. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:856-859 [Conf]
  8. Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas, Alberto Prieto
    Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1479-1482 [Conf]
  9. Héctor Pomares, Ignacio Rojas, Jesús González, Alberto Prieto
    A Method for Structure Identification in Complete Rule-based Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:376-379 [Conf]
  10. Ignacio Rojas, Héctor Pomares, Jesús González, P. Gloesekotter, J. Diestuhl, Karl Groser
    A New Sequential Learning Algorithm Using Pseudo-gaussian Functions for Neuro-fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1243-1246 [Conf]
  11. Ignacio Rojas Ruiz, Héctor Pomares, Jesús González, P. Gloesekotter, J. Diestuhl, Karl Groser
    Multideme Evolution algorithm Based Approach to the Generation of Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1412-1415 [Conf]
  12. Héctor Pomares, Ignacio Rojas, Jesús González
    New Methodology for Structure Identification of Fuzzy Controllers in Real Time. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:845-854 [Conf]
  13. Jesús González, Ignacio Rojas, Héctor Pomares
    Neural Networks, Clustering Techniques, and Function Approximation Problems. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:553-558 [Conf]
  14. Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser
    Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:559-564 [Conf]
  15. 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]
  16. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Francisco Fernández
    Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2006, pp:511-520 [Conf]
  17. Ignacio Rojas, Héctor Pomares, Jesús González, Eduardo Ros, Moisés Salmerón, Julio Ortega, Alberto Prieto
    A New Radial Basis Function Networks Structure: Application to Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:449-454 [Conf]
  18. Mohammed Awad, Héctor Pomares, Luis Javier Herrera, Jesús González, Alberto Guillén, Fernando Rojas
    Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:289-296 [Conf]
  19. Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto
    Input Variable Selection in Hierarchical RBF Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:280-288 [Conf]
  20. Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega
    RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:498-505 [Conf]
  21. Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega
    Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:454-461 [Conf]
  22. Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega
    Studying the Convergence of the CFA Algorithm. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:550-557 [Conf]
  23. Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón
    Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:538-545 [Conf]
  24. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto
    Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:272-279 [Conf]
  25. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad
    Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:399-406 [Conf]
  26. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela, Alberto Prieto
    TaSe Model for Long Term Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:1027-1034 [Conf]
  27. Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas
    A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:530-537 [Conf]
  28. Ignacio Rojas, Héctor Pomares, Julio Ortega, Eduardo Ros Vidal, Alberto Prieto
    Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:631-640 [Conf]
  29. Ginés Rubio, Héctor Pomares
    A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:34-41 [Conf]
  30. Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén
    A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:143-152 [Conf]
  31. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Jesús González, Olga Valenzuela
    Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning. [Citation Graph (0, 0)][DBLP]
    MICAI, 2004, pp:508-516 [Conf]
  32. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad
    MultiGrid-Based Fuzzy Systems for Function Approximation. [Citation Graph (0, 0)][DBLP]
    MICAI, 2004, pp:252-261 [Conf]
  33. Ignacio Rojas, Fernando Rojas, Héctor Pomares, Luis Javier Herrera, Jesús González, Olga Valenzuela
    The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    MICAI, 2004, pp:30-39 [Conf]
  34. Jesús González, Ignacio Rojas, Héctor Pomares
    Evolutive Identification of Fuzzy Systems for Time-Series Prediction. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:517-526 [Conf]
  35. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto
    A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:647-656 [Conf]
  36. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto
    A Possibilistic Approach to RBFN Centers Initialization. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (2), 2005, pp:174-183 [Conf]
  37. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Jesús González
    Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:402-411 [Conf]
  38. Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón, Alberto Prieto, Juan J. Merelo Guervós
    Optimization of web newspaper layout in real time. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 2001, v:36, n:2/3, pp:311-321 [Journal]
  39. Miguel Damas, Moisés Salmerón, Julio Ortega, G. Olivares, Héctor Pomares
    Parallel dynamic water supply scheduling in a cluster of computers. [Citation Graph (0, 0)][DBLP]
    Concurrency and Computation: Practice and Experience, 2001, v:13, n:15, pp:1281-1302 [Journal]
  40. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Alberto Prieto
    TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:153, n:3, pp:403-427 [Journal]
  41. Ignacio Rojas, Héctor Pomares, Jesús González, Luis Javier Herrera, Alberto Guillén, Fernando Rojas Ruiz, Olga Valenzuela
    Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:16, pp:2241-2258 [Journal]
  42. Héctor Pomares, Ignacio Rojas, Jesús González, Fernando Rojas, Miguel Damas, F. J. Fernández
    A two-stage approach to self-learning direct fuzzy controllers. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2002, v:29, n:3, pp:267-289 [Journal]
  43. Ignacio Rojas, Jesús González, Héctor Pomares, Fernando Rojas, F. J. Fernández, Alberto Prieto
    Multidimensional and multideme genetic algorithms for the construction of fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:26, n:3, pp:179-210 [Journal]
  44. Ignacio Rojas, Héctor Pomares, Francisco J. Pelayo, Mancia Anguita, Eduardo Ros Vidal, Alberto Prieto
    New methodology for the development of adaptive and self-learning fuzzy controllers in real time. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1999, v:21, n:2, pp:109-136 [Journal]
  45. Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Alberto Guillén, José M. Palomares, Fernando Rojas
    Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:1, pp:32-44 [Journal]
  46. Ignacio Rojas, Héctor Pomares, José Luis Bernier, Julio Ortega, Begoña Pino, Francisco J. Pelayo, Alberto Prieto
    Time series analysis using normalized PG-RBF network with regression weights. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:42, n:1-4, pp:267-285 [Journal]
  47. Ignacio Rojas, Héctor Pomares, Jesús González, José Luis Bernier, Eduardo Ros Vidal, Francisco J. Pelayo, Alberto Prieto
    Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2000, v:12, n:1, pp:1-17 [Journal]
  48. Jesús González, Ignacio Rojas, Héctor Pomares, Fernando Rojas, José M. Palomares
    Multi-objective evolution of fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:9, pp:735-748 [Journal]
  49. Héctor Pomares, Ignacio Rojas Ruiz, Jesús González, Miguel Damas, Begoña Pino, Alberto Prieto
    Online global learning in direct fuzzy controllers. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2004, v:12, n:2, pp:218-229 [Journal]
  50. Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón, Juan J. Merelo Guervós
    Web newspaper layout optimization using simulated annealing. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:5, pp:686-691 [Journal]
  51. Héctor Pomares, Ignacio Rojas, Julio Ortega, Jesús González, Alberto Prieto
    A systematic approach to a self-generating fuzzy rule-table for function approximation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:3, pp:431-447 [Journal]
  52. Ignacio Rojas, Jesús González, Héctor Pomares, Juan J. Merelo Guervós, Pedro A. Castillo Valdivieso, Gustavo Romero
    Statistical analysis of the main parameters involved in the design of a genetic algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2002, v:32, n:1, pp:31-37 [Journal]
  53. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio
    On Incorporating Seasonal Information on Recursive Time Series Predictors. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:506-515 [Conf]
  54. Miguel Ángel López, Héctor Pomares, Miguel Damas, Antonio Díaz Estrella, Alberto Prieto, Francisco J. Pelayo, Eva María de la Plaza Hernández
    Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:170-177 [Conf]
  55. Miguel Ángel López, Héctor Pomares, Miguel Damas, Eduardo Madrid, Alberto Prieto, Francisco J. Pelayo, Eva María de la Plaza Hernández
    Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:956-963 [Conf]
  56. Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas
    Kernel Methods Applied to Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:782-789 [Conf]
  57. Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto
    Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:341-350 [Conf]
  58. Miguel Ángel López, Héctor Pomares, Miguel Damas, Alberto Prieto, Eva María de la Plaza Hernández
    Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:407-415 [Conf]
  59. Alberto Guillén, Ignacio Rojas Ruiz, Jesús González, Héctor Pomares, Luis Javier Herrera
    A First Approach to Birth Weight Prediction Using RBFNNs. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:253-260 [Conf]
  60. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter
    Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:85-92 [Conf]
  61. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Alberto Prieto, Olga Valenzuela
    Recursive prediction for long term time series forecasting using advanced models. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2870-2880 [Journal]
  62. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad, A. Herrera
    Multigrid-based fuzzy systems for time series prediction: CATS competition. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2410-2425 [Journal]
  63. Alberto Guillén, Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto
    Using fuzzy logic to improve a clustering technique for function approximation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2853-2860 [Journal]
  64. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Fernando Rojas
    Output value-based initialization for radial basis function neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2007, v:25, n:3, pp:209-225 [Journal]

  65. A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application. [Citation Graph (, )][DBLP]


  66. Signal Processing and Perceptrons in an Auditory Based Brain-Computer Interface. [Citation Graph (, )][DBLP]


  67. Strengthening the Forward Variable Selection Stopping Criterion. [Citation Graph (, )][DBLP]


  68. Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. [Citation Graph (, )][DBLP]


  69. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems. [Citation Graph (, )][DBLP]


  70. Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. [Citation Graph (, )][DBLP]


  71. Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks. [Citation Graph (, )][DBLP]


  72. A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades. [Citation Graph (, )][DBLP]


  73. On Selecting the Best Pre-processing Method for Affymetrix Genechips. [Citation Graph (, )][DBLP]


  74. Applications in Bio-informatics and Biomedical Engineering. [Citation Graph (, )][DBLP]


  75. Multiple AM Modulated Visual Stimuli in Brain-Computer Interface. [Citation Graph (, )][DBLP]


  76. Creation of Specific-to-Problem Kernel Functions for Function Approximation. [Citation Graph (, )][DBLP]


  77. Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. [Citation Graph (, )][DBLP]


  78. Global and Local Modelling in Radial Basis Functions Networks. [Citation Graph (, )][DBLP]


  79. Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification. [Citation Graph (, )][DBLP]


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