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Luis Javier Herrera Vis

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*2009
39EELuis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas: Strengthening the Forward Variable Selection Stopping Criterion. ICANN (2) 2009: 215-224
38EEGinés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén: Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. ICANN (2) 2009: 406-415
37EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, J. Urquiza: Global and Local Modelling in Radial Basis Functions Networks. IWANN (1) 2009: 49-56
36EEJ. M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, J. C. Calvo, Julio Ortega: Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. IWANN (1) 2009: 853-860
2008
35EEOlga Valenzuela, Ignacio Rojas, Fernando Rojas, Héctor Pomares, Luis Javier Herrera, Alberto Guillén, Luisa Marquez, Miguel Pasadas: Hybridization of intelligent techniques and ARIMA models for time series prediction. Fuzzy Sets and Systems 159(7): 821-845 (2008)
34EEAlberto Guillén, Héctor Pomares, Ignacio Rojas, Jesús González, Luis Javier Herrera, Fernando Rojas, Olga Valenzuela: Studying possibility in a clustering algorithm for RBFNN design for function approximation. Neural Computing and Applications 17(1): 75-89 (2008)
33EEIgnacio Rojas, Olga Valenzuela, Fernando Rojas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Luisa Marquez, Miguel Pasadas: Soft-computing techniques and ARMA model for time series prediction. Neurocomputing 71(4-6): 519-537 (2008)
2007
32EEAlberto Guillén, Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Francisco Fernández: A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application. FUZZ-IEEE 2007: 1-6
31EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio: On Incorporating Seasonal Information on Recursive Time Series Predictors. ICANN (2) 2007: 506-515
30EEAlberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter: Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization. ICANNGA (1) 2007: 85-92
29EEAlberto 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. IWANN 2007: 341-350
28EEGinés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas: Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789
27EEAlberto Guillén, Ignacio Rojas Ruiz, Jesús González, Héctor Pomares, Luis Javier Herrera: A First Approach to Birth Weight Prediction Using RBFNNs. IWINAC (1) 2007: 253-260
26EEJesús 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. Int. J. Approx. Reasoning 44(1): 32-44 (2007)
25EEAlberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Fernando Rojas: Output value-based initialization for radial basis function neural networks. Neural Processing Letters 25(3): 209-225 (2007)
24EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad, A. Herrera: Multigrid-based fuzzy systems for time series prediction: CATS competition. Neurocomputing 70(13-15): 2410-2425 (2007)
23EEAlberto 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. Neurocomputing 70(16-18): 2853-2860 (2007)
22EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Alberto Prieto, Olga Valenzuela: Recursive prediction for long term time series forecasting using advanced models. Neurocomputing 70(16-18): 2870-2880 (2007)
2006
21EEAlberto 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. Australian Conference on Artificial Intelligence 2006: 1127-1132
20EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50
19EEAlberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Francisco Fernández: Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction. ICNC (1) 2006: 511-520
18EEAlberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto: Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems. IJCNN 2006: 3175-3180
17EEAlberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto: A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design. RSCTC 2006: 647-656
16EEIgnacio 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. Fuzzy Sets and Systems 157(16): 2241-2258 (2006)
2005
15EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Olga Valenzuela: Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. ECSQARU 2005: 613-624
14EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González: New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems. ECSQARU 2005: 980-991
13EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela, Alberto Prieto: TaSe Model for Long Term Time Series Forecasting. IWANN 2005: 1027-1034
12EEAlberto 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. IWANN 2005: 272-279
11EEMohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto: Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288
10EEMohammed 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. IWANN 2005: 289-296
9EELuis 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. IWANN 2005: 399-406
8EEAlberto Guillén, Ignacio Rojas, Eduardo Ros, Luis Javier Herrera: Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals. IWINAC (2) 2005: 538-547
7EELuis 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. RSFDGrC (1) 2005: 402-411
6EEAlberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto: A Possibilistic Approach to RBFN Centers Initialization. RSFDGrC (2) 2005: 174-183
5EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Alberto Prieto: TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy. Fuzzy Sets and Systems 153(3): 403-427 (2005)
2004
4EELuis 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. ESANN 2004: 127-132
3EELuis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad: MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261
2EEIgnacio Rojas, Fernando Rojas, Héctor Pomares, Luis Javier Herrera, Jesús González, Olga Valenzuela: The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction. MICAI 2004: 30-39
1EELuis 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. MICAI 2004: 508-516

Coauthor Index

1Mohammed Awad [3] [4] [7] [9] [10] [11] [15] [24]
2J. C. Calvo [36]
3Francisco Fernández [19] [32]
4J. P. Florido [36]
5Jesús González [1] [2] [4] [6] [7] [9] [10] [12] [14] [16] [17] [18] [19] [21] [23] [24] [25] [26] [27] [29] [30] [32] [34]
6Alberto Guillén [6] [7] [8] [9] [10] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [29] [30] [31] [32] [33] [34] [35] [37] [38] [39]
7A. Herrera [24]
8Luisa Marquez [33] [35]
9Julio Ortega [36]
10Ben Paechter [21] [30] [39]
11José M. Palomares (José Manuel Palomares Muñoz) [26]
12Miguel Pasadas [33] [35]
13Héctor Pomares [1] [2] [3] [4] [5] [6] [7] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39]
14Alberto Prieto [5] [6] [11] [12] [13] [17] [18] [22] [23] [29]
15Ginés Rubio [28] [31] [36] [37] [38] [39]
16Fernando Rojas Ruiz (Fernando Rojas) [2] [10] [16] [25] [26] [33] [34] [35]
17Ignacio Rojas Ruiz (Ignacio Rojas) [1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39]
18J. Urquiza [37]
19J. M. Urquiza [36]
20Olga Valenzuela [1] [2] [3] [4] [5] [6] [12] [13] [15] [16] [22] [23] [25] [33] [34] [35]
21Michel Verleysen [20]
22Eduardo Ros Vidal (Eduardo Ros) [8]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)