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 | 2013 | |
|---|---|---|
| j21 |      | Ana Belén Cara, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas: New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model. Inf. Sci. 220: 226-243 (2013) |
| 2012 | ||
| j20 | | 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) |
| j19 | | 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) |
| 2011 | ||
| j18 | | 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) |
| j17 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza: Global and local modelling in RBF networks. Neurocomputing 74(16): 2594-2602 (2011) |
| j16 | | José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Julio Ortega, Alberto Prieto: Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection. Neurocomputing 74(16): 2683-2690 (2011) |
| c41 | | Razvan Ghinea, Juan de la Cruz Cardona, Ana Maria Ionescu, Maria del Mar Perez, Luis Javier Herrera: Using Takagi-Sugeno-Kang approximation fuzzy logic for evaluating the performance of color difference formulas in dentistry. ISDA 2011: 247-252 |
| c40 | | Luis Javier Herrera, Antonio Miguel Mora, Carlos M. Fernandes, Daria Migotina, Alberto Guillén, Agostinho C. Rosa: Symbolic representation of the EEG for sleep stage classification. ISDA 2011: 253-258 |
| c39 | | Alberto Guillén, M. van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas: Variable Selection in a GPU Cluster Using Delta Test. IWANN (1) 2011: 393-400 |
| c38 | | José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Francisco M. Ortuño Guzman: Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. PACBB 2011: 373-380 |
| 2010 | ||
| j15 | | Luis Javier Herrera, M. M. Pérez, J. Santana, R. Pulgar, Jesús González, Héctor Pomares, Ignacio Rojas: Local-global neuro-fuzzy system for color change modelling. Int. J. Hybrid Intell. Syst. 7(4): 299-311 (2010) |
| j14 | | Ginés Rubio, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén: Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling. Neurocomputing 73(10-12): 1965-1975 (2010) |
| j13 | | Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas: New method for instance or prototype selection using mutual information in time series prediction. Neurocomputing 73(10-12): 2030-2038 (2010) |
| j12 | | 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) |
| c37 | | Javier P. Florido, Héctor Pomares, Ignacio Rojas, José Miguel Urquiza Ortiz, Luis Javier Herrera, Manuel Gonzalo Claros: Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips. IJCNN 2010: 1-6 |
| c36 | | Alberto Guillén, Carlos Tovar, Luis Javier Herrera, Héctor Pomares, Jose Gonzalez, J. F. Guillen, Ignacio Rojas: Predicting marital dissolutions using radial basis function neural networks. IJCNN 2010: 1-4 |
| c35 | | Antonio Miguel Mora, Luis Javier Herrera, José Miguel Urquiza Ortiz, Ignacio Rojas, Juan Julián Merelo Guervós: Applying support vector machines and mutual information to book losses prediction. IJCNN 2010: 1-7 |
| c34 | | Antonio Miguel Mora, Carlos M. Fernandes, Luis Javier Herrera, Pedro A. Castillo, Juan J. Merelo Guervós, Fernando Rojas, Agostinho C. Rosa: Sleeping with ants, SVMs, multilayer perceptrons and SOMs. ISDA 2010: 126-131 |
| 2009 | ||
| j11 | | 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) |
| c33 | | Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas: Applying Mutual Information for Prototype or Instance Selection in Regression Problems. ESANN 2009 |
| c32 | | Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas: Strengthening the Forward Variable Selection Stopping Criterion. ICANN (2) 2009: 215-224 |
| c31 | | Ginés 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 |
| c30 | | José Miguel Urquiza Ortiz, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, Ginés Rubio, J. P. Florido: Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. ISCIS 2009: 645-650 |
| c29 | | Alberto Guillén, A. M. Trujillo, Samuel F. Romero, Ginés Rubio, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, J. F. Guillen: Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks. ISDA 2009: 1263-1267 |
| c28 | | Luis Javier Herrera, M. M. Pérez, J. Santana, R. Pulgar, Jesús González, Héctor Pomares, Ignacio Rojas Ruiz: A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades. ISDA 2009: 1268-1273 |
| c27 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza: Global and Local Modelling in Radial Basis Functions Networks. IWANN (1) 2009: 49-56 |
| c26 | | José M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, José 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 |
| r1 | | Olga Valenzuela, Ignacio Rojas, Fernando Rojas, Alberto Guillén, Luis Javier Herrera, Fernando J. Rojas, Maria del Mar Cepero: Intelligent Classifier for Atrial Fibrillation (ECG). Encyclopedia of Artificial Intelligence 2009: 910-916 |
| 2008 | ||
| j10 | | 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) |
| j9 | | 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) |
| j8 | | 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) |
| 2007 | ||
| j7 | | 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. Int. J. Approx. Reasoning 44(1): 32-44 (2007) |
| j6 | | 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. Neurocomputing 70(13-15): 2410-2425 (2007) |
| j5 | | 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) |
| j4 | | 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) |
| j3 | | 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) |
| c25 | | Alberto 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 |
| c24 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio: On Incorporating Seasonal Information on Recursive Time Series Predictors. ICANN (2) 2007: 506-515 |
| c23 | | 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. ICANNGA (1) 2007: 85-92 |
| c22 | | 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. IWANN 2007: 341-350 |
| c21 | | Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas: Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789 |
| c20 | | Alberto 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 |
| 2006 | ||
| j2 | | 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) |
| c19 | | 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. Australian Conference on Artificial Intelligence 2006: 1127-1132 |
| c18 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50 |
| c17 | | Alberto 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 |
| c16 | | Alberto 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 |
| c15 | | Alberto 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 |
| 2005 | ||
| j1 | | 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) |
| c14 | | 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 |
| c13 | | Luis 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 |
| c12 | | 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 |
| c11 | | Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto: Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288 |
| c10 | | 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. IWANN 2005: 289-296 |
| c9 | | 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. IWANN 2005: 399-406 |
| c8 | | 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 |
| c7 | | Alberto Guillén, Ignacio Rojas, Eduardo Ros, Luis Javier Herrera: Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals. IWINAC (2) 2005: 538-547 |
| c6 | | 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 |
| c5 | | 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. RSFDGrC (1) 2005: 402-411 |
| 2004 | ||
| c4 | | 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 |
| c3 | | 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 |
| c2 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad: MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261 |
| c1 | | 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 |
Colors in the list of coauthors
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