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Luis Javier Herrera: [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. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. Alberto Guillén, Ignacio Rojas, Eduardo Ros, Luis Javier Herrera
    Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:538-547 [Conf]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]

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


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


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


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


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


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


  37. 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]


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


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


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


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