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| 118 |       | José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Olga Valenzuela, Maria del Mar Cepero: Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification. Comp. in Bio. and Med. 42(6): 639-650 (2012) |
| 116 | | José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Javier P. Perez-Florido, Olga Valenzuela: Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology. J. Applied Mathematics 2012: (2012) |
| 115 | | Héctor Pomares, Ignacio Rojas, Mohammed Awad, Olga Valenzuela: An enhanced clustering function approximation technique for a radial basis function neural network. Mathematical and Computer Modelling 55(3-4): 286-302 (2012) |
| 106 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela: The TaSe-NF model for function approximation problems: Approaching local and global modelling. Fuzzy Sets and Systems 171(1): 1-21 (2011) |
| 91 | | Alberto Guillén, F. G. del Moral, Luis Javier Herrera, Ginés Rubio, Ignacio Rojas, Olga Valenzuela, Héctor Pomares: Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks. Neural Computing and Applications 19(3): 465-470 (2010) |
| 78 | | Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, José Luis Bernier: Applications in Bio-informatics and Biomedical Engineering. IWANN (1) 2009: 820-828 |
| 75 | | Olga Valenzuela, Ignacio Rojas, Francisco Javier Rojas, Héctor Pomares, José Luis Bernier, Luis Javier Herrera, Alberto Guillén: Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification. Applied Artificial Intelligence 23(10): 895-909 (2009) |
| 73 | | Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Olga Valenzuela, Beatriz Prieto: Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems. Neurocomputing 72(16-18): 3541-3555 (2009) |
| 70 | | Olga 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) |
| 69 | | Alberto 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) |
| 68 | | Ignacio 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) |
| 57 | | 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. Neural Processing Letters 25(3): 209-225 (2007) |
| 55 | | 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. Neurocomputing 70(16-18): 2853-2860 (2007) |
| 54 | | Luis 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) |
| 48 | | 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. Fuzzy Sets and Systems 157(16): 2241-2258 (2006) |
| 46 | | 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. ECSQARU 2005: 613-624 |
| 44 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela, Alberto Prieto: TaSe Model for Long Term Time Series Forecasting. IWANN 2005: 1027-1034 |
| 43 | | 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. IWANN 2005: 272-279 |
| 36 | | Alberto 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 |
| 35 | | Luis 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) |
| 34 | | 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. ESANN 2004: 127-132 |
| 32 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad: MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261 |
| 31 | | 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. MICAI 2004: 30-39 |
| 30 | | 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. MICAI 2004: 508-516 |
| 1 | | 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? ESANN 1998: 1-6 |
Selection of 25 from 120 records - Héctor Pomares has 82 coauthors
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