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Ignacio Rojas
List of publications from the DBLP Bibliography Server - FAQ
| 2012 | ||
|---|---|---|
| 152 | 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) | |
| 2011 | ||
| 151 | Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós: Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I Springer 2011 | |
| 150 | Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós: Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II Springer 2011 | |
| 149 | Alberto Guillén, M. van Heeswijk, D. 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 | |
| 148 | Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas: Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier. IWANN (2) 2011: 185-193 | |
| 147 | J. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, F. Ortuño: Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network. IWANN (2) 2011: 194-201 | |
| 146 | Francisco M. Ortuño Guzman, Ignacio Rojas, Héctor Pomares, José M. Urquiza, J. P. Florido: Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data. PACBB 2011: 183-190 | |
| 145 | José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, F. Ortuño: Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. PACBB 2011: 373-380 | |
| 144 | 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) | |
| 143 | Ana Belén Cara, Héctor Pomares, Ignacio Rojas: A New Methodology for the Online Adaptation of Fuzzy Self-Structuring Controllers. IEEE T. Fuzzy Systems 19(3): 449-464 (2011) | |
| 142 | J. P. Florido, Héctor Pomares, Ignacio Rojas: Generating Balanced Learning and Test Sets for Function Approximation Problems. Int. J. Neural Syst. 21(3): 247-263 (2011) | |
| 141 | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, G. Rubio, José M. Urquiza: Global and local modelling in RBF networks. Neurocomputing 74(16): 2594-2602 (2011) | |
| 140 | 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) | |
| 139 | Pablo Cascón, Julio Ortega, Yan Luo, Eric Murray, Antonio F. Díaz, Ignacio Rojas: Improving IPS by network processors. The Journal of Supercomputing 57(1): 99-108 (2011) | |
| 138 | Pablo Cascón, Andrés Ortiz, Julio Ortega, Antonio F. Díaz, Ignacio Rojas: Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures. The Journal of Supercomputing 58(3): 302-313 (2011) | |
| 2010 | ||
| 137 | Ana Belén Cara, Zsofia Lendek, Robert Babuska, Héctor Pomares, Ignacio Rojas: Online self-organizing adaptive fuzzy controller: Application to a nonlinear servo system. FUZZ-IEEE 2010: 1-8 | |
| 136 | A. M. Trujillo, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Beatriz Prieto, A. Aránega, Francisco Rodríguez, P. J. Álvarez-Aranega, J. C. Prados: Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision Trees. IEA/AIE (1) 2010: 294-305 | |
| 135 | Ana Belén Cara, Héctor Pomares, Ignacio Rojas: An Algorithm for Online Self-organization of Fuzzy Controllers. IEA/AIE (2) 2010: 212-221 | |
| 134 | Oresti Baños, Héctor Pomares, Ignacio Rojas: Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition. IEA/AIE (2) 2010: 637-642 | |
| 133 | Oresti Baños, Héctor Pomares, Ignacio Rojas: Ambient living activity recognition based on feature-set ranking using intelligent systems. IJCNN 2010: 1-4 | |
| 132 | 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 | |
| 131 | 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 | |
| 130 | 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 | |
| 129 | Alberto Guillén, Ginés Rubio, I. Toda, A. Rivera, Héctor Pomares, Ignacio Rojas Ruiz: Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem. Expert Syst. Appl. 37(6): 4050-4057 (2010) | |
| 128 | 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) | |
| 127 | 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) | |
| 126 | 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) | |
| 125 | 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) | |
| 2009 | ||
| 124 | 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 | |
| 123 | Alberto Guillén, Antti Sorjamaa, Ginés Rubio, Amaury Lendasse, Ignacio Rojas: Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems. ICANN (1) 2009: 1-9 | |
| 122 | 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 | |
| 121 | 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 | |
| 120 | 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 | |
| 119 | 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 | |
| 118 | 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 | |
| 117 | Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas: Efficient Parallel Feature Selection for Steganography Problems. IWANN (1) 2009: 1224-1231 | |
| 116 | Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén: Creation of Specific-to-Problem Kernel Functions for Function Approximation. IWANN (1) 2009: 335-342 | |
| 115 | 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 | |
| 114 | Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, José Luis Bernier: Applications in Bio-informatics and Biomedical Engineering. IWANN (1) 2009: 820-828 | |
| 113 | J. P. Florido, Héctor Pomares, Ignacio Rojas, José C. Calvo, José M. Urquiza, M. Gonzalo Claros: On Selecting the Best Pre-processing Method for Affymetrix Genechips. IWANN (1) 2009: 845-852 | |
| 112 | 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 | |
| 111 | Pablo Cascón, Julio Ortega, Waseem M. Haider, Antonio F. Díaz, Ignacio Rojas: A Multi-Threaded Network Interface Using Network Processors. PDP 2009: 196-200 | |
| 110 | Pablo Cascón, Julio Ortega, Antonio F. Díaz, Ignacio Rojas: Assessing the Performance of an Offloaded IDS on Network Processors. PDPTA 2009: 652-658 | |
| 109 | Olga Valenzuela, Ignacio Rojas, Fernando Rojas, Alberto Guillén, Luis Javier Herrera, F. J. Rojas, Maria del Mar Cepero: Intelligent Classifier for Atrial Fibrillation (ECG). Encyclopedia of Artificial Intelligence 2009: 910-916 | |
| 108 | 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) | |
| 107 | Mohammed Awad, Héctor Pomares, Ignacio Rojas Ruiz, Osama Salameh, Mai Hamdon: Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering. Int. Arab J. Inf. Technol. 6(2): 138-143 (2009) | |
| 106 | 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) | |
| 2008 | ||
| 105 | 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) | |
| 104 | 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) | |
| 103 | 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) | |
| 2007 | ||
| 102 | Olga Valenzuela, Fernando Rojas Ruiz, Ignacio Rojas Ruiz, Maria del Mar Cepero, Francisco Javier Rojas: A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation. BIOCOMP 2007: 296-300 | |
| 101 | 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 | |
| 100 | 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 | |
| 99 | 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 | |
| 98 | M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesús, Ignacio Rojas: CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm. IWANN 2007: 324-332 | |
| 97 | 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 | |
| 96 | Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas: Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789 | |
| 95 | 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 | |
| 94 | Oscar Cordón, Rafael Alcalá, Jesús Alcalá-Fdez, Ignacio Rojas: Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section. IEEE T. Fuzzy Systems 15(4): 533-535 (2007) | |
| 93 | 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) | |
| 92 | 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) | |
| 91 | 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) | |
| 90 | 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) | |
| 89 | 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) | |
| 88 | Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega, María José del Jesús: A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Comput. 11(7): 655-668 (2007) | |
| 2006 | ||
| 87 | 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 | |
| 86 | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50 | |
| 85 | Suhail M. Odeh, Eduardo Ros, Ignacio Rojas, José M. Palomares: Skin Lesion Diagnosis Using Fluorescence Images. ICIAR (2) 2006: 648-659 | |
| 84 | 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 | |
| 83 | 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 | |
| 82 | 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 | |
| 81 | 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) | |
| 80 | Jesús González, Ignacio Rojas, Héctor Pomares, Fernando Rojas, José M. Palomares: Multi-objective evolution of fuzzy systems. Soft Comput. 10(9): 735-748 (2006) | |
| 2005 | ||
| 79 | 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 | |
| 78 | 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 | |
| 77 | Olga Valenzuela, Ignacio Rojas Ruiz, Fernando Rojas Ruiz, Luisa Marquez: Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network. ESANN 2005: 145-150 | |
| 76 | Fernando Rojas Ruiz, Carlos García Puntonet, Ignacio Rojas Ruiz: Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation. ESANN 2005: 521-526 | |
| 75 | 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 | |
| 74 | 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 | |
| 73 | Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto: Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288 | |
| 72 | Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega: Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs. IWANN 2005: 297-305 | |
| 71 | 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 | |
| 70 | 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. IWINAC (2) 2005: 143-152 | |
| 69 | 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 | |
| 68 | 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 | |
| 67 | 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 | |
| 66 | 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) | |
| 2004 | ||
| 65 | 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 | |
| 64 | Manuel Rodríguez Álvarez, Fernando Rojas Ruiz, Elmar Wolfgang Lang, Ignacio Rojas Ruiz, Carlos García Puntonet, Moisés Salmerón-Campos: Lattice ICA for the separation of speech signals. ESANN 2004: 337-342 | |
| 63 | Ignacio Rojas Ruiz, Héctor Pomares: Soft-computing techniques for time series forecasting. ESANN 2004: 93-102 | |
| 62 | Manuel Rodríguez Álvarez, Fernando Rojas Ruiz, Rubén Martín-Clemente, Ignacio Rojas Ruiz, Carlos García Puntonet: Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals. ICA 2004: 350-357 | |
| 61 | Fernando Rojas Ruiz, Carlos García Puntonet, Ignacio Rojas Ruiz, Manuel Rodríguez Álvarez, Juan Manuel Górriz Sáez: Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS. ICA 2004: 758-765 | |
| 60 | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad: MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261 | |
| 59 | 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 | |
| 58 | 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 | |
| 57 | Héctor Pomares, Ignacio Rojas Ruiz, Jesús González, Miguel Damas, Begoña Pino, Alberto Prieto: Online global learning in direct fuzzy controllers. IEEE T. Fuzzy Systems 12(2): 218-229 (2004) | |
| 2003 | ||
| 56 | Olga Valenzuela, Lozano Márquez, Miguel Pasadas, Ignacio Rojas, Manuel Rodríguez, Fernando Rojas: Analysis of the Functional Block and Operator Involved in Fuzzy System Design. CAEPIA 2003: 157-166 | |
| 55 | Ignacio Rojas, Fernando Rojas, Olga Valenzuela, Alberto Prieto: The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction. CAEPIA 2003: 566-576 | |
| 54 | Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks. IWANN (1) 2003: 454-461 | |
| 53 | Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, María José del Jesús: Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons. IWANN (1) 2003: 470-477 | |
| 52 | Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Studying the Convergence of the CFA Algorithm. IWANN (1) 2003: 550-557 | |
| 51 | Fernando Rojas, Carlos García Puntonet, Manuel Rodríguez Álvarez, Ignacio Rojas: Evolutionary Algorithm Using Mutual Information for Independent Component Analysis. IWANN (2) 2003: 233-240 | |
| 50 | Manuel Rodríguez Álvarez, Fernando Rojas, Elmar Wolfgang Lang, Ignacio Rojas: A New Geometrical ICA-based Method for Blind Separation of Speech Signals. IWANN (2) 2003: 281-288 | |
| 49 | Fernando Rojas, Carlos García Puntonet, Ignacio Rojas, Julio Ortega: An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing. IWANN (2) 2003: 679-686 | |
| 48 | Eduardo Ros, M. M. Rodríguez, Sonia Mota, José Luis Bernier, Ignacio Rojas, Carlos García Puntonet, Elmar Wolfgang Lang: Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning. IbPRIA 2003: 858-867 | |
| 47 | Olga Valenzuela, Ignacio Rojas, Fernando Rojas: Sequential Learning Algorithm of Neural Networks Systems for Time Series. KI 2003: 327-341 | |
| 46 | Olga Valenzuela, Ignacio Rojas, Fernando Rojas: Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process. WILF 2003: 63-71 | |
| 45 | Víctor Manuel Rivas Santos, Juan J. Merelo Guervós, Ignacio Rojas, Gustavo Romero, Pedro A. Castillo Valdivieso, J. Carpio: Evolving two-dimensional fuzzy systems. Fuzzy Sets and Systems 138(2): 381-398 (2003) | |
| 44 | Jesús González, Ignacio Rojas, Julio Ortega, Héctor Pomares, Francisco Javier Fernández, Antonio F. Díaz: Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation. IEEE Transactions on Neural Networks 14(6): 1478-1495 (2003) | |
| 2002 | ||
| 43 | Héctor Pomares, Ignacio Rojas, Jesús González: New Methodology for Structure Identification of Fuzzy Controllers in Real Time. IBERAMIA 2002: 845-854 | |
| 42 | Jesús González, Ignacio Rojas, Héctor Pomares: Neural Networks, Clustering Techniques, and Function Approximation Problems. ICANN 2002: 553-558 | |
| 41 | Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser: Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. ICANN 2002: 559-564 | |
| 40 | Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas: SSA, SVD, QR-cp, and RBF Model Reduction. ICANN 2002: 589-594 | |
| 39 | Jesús González, Ignacio Rojas, Héctor Pomares: Evolutive Identification of Fuzzy Systems for Time-Series Prediction. PPSN 2002: 517-526 | |
| 38 | Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón, Juan J. Merelo Guervós: Web newspaper layout optimization using simulated annealing. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(5): 686-691 (2002) | |
| 37 | 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. IEEE Transactions on Systems, Man, and Cybernetics, Part C 32(1): 31-37 (2002) | |
| 36 | Héctor Pomares, Ignacio Rojas, Jesús González, Fernando Rojas, Miguel Damas, F. J. Fernández: A two-stage approach to self-learning direct fuzzy controllers. Int. J. Approx. Reasoning 29(3): 267-289 (2002) | |
| 35 | 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. Neurocomputing 42(1-4): 267-285 (2002) | |
| 2001 | ||
| 34 | Ignacio Rojas Ruiz, José Luis Bernier, Eduardo Ros Vidal, Fernando J. Rojas, Carlos García Puntonet: The synergy between multideme genetic algorithms and fuzzy systems. ESANN 2001: 199-204 | |
| 33 | Carlos García Puntonet, Ali Mansour, Manuel Rodríguez Álvarez, Beatriz Prieto, Ignacio Rojas Ruiz: A stochastic and competitive network for the separation of sources. ESANN 2001: 31-38 | |
| 32 | 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. FUZZ-IEEE 2001: 1243-1246 | |
| 31 | Ignacio Rojas Ruiz, Héctor Pomares, Jesús González, P. Gloesekotter, J. Diestuhl, Karl Groser: Multideme Evolution algorithm Based Approach to the Generation of Fuzzy Systems. FUZZ-IEEE 2001: 1412-1415 | |
| 30 | Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas, Alberto Prieto: Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm. FUZZ-IEEE 2001: 1479-1482 | |
| 29 | Héctor Pomares, Ignacio Rojas, Jesús González, Alberto Prieto: A Method for Structure Identification in Complete Rule-based Fuzzy Systems. FUZZ-IEEE 2001: 376-379 | |
| 28 | Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas, Alberto Prieto: An Enhanced Self-organizing Controller for Real-time Process-control Applications. FUZZ-IEEE 2001: 856-859 | |
| 27 | Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. IWANN (1) 2001: 498-505 | |
| 26 | Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas: A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time. IWANN (1) 2001: 530-537 | |
| 25 | Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón: Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks. IWANN (1) 2001: 538-545 | |
| 24 | Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, Alberto Prieto: Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules. IWANN (1) 2001: 570-578 | |
| 23 | Manuel Rodríguez Álvarez, Carlos García Puntonet, Ignacio Rojas: Separation of Sources Based on the Partitioning of the Space of Observations. IWANN (2) 2001: 762-769 | |
| 22 | Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón, Alberto Prieto, Juan J. Merelo Guervós: Optimization of web newspaper layout in real time. Computer Networks 36(2/3): 311-321 (2001) | |
| 21 | Ignacio Rojas, Jesús González, Héctor Pomares, Fernando Rojas, F. J. Fernández, Alberto Prieto: Multidimensional and multideme genetic algorithms for the construction of fuzzy systems. Int. J. Approx. Reasoning 26(3): 179-210 (2001) | |
| 20 | José Luis Bernier, Julio Ortega, Eduardo Ros Vidal, Ignacio Rojas, Alberto Prieto: A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs. Neural Computation 12(12): 2941-2964 (2001) | |
| 2000 | ||
| 19 | 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. IJCNN (4) 2000: 449-454 | |
| 18 | Ignacio Rojas, José Luis Bernier, Manuel Rodríguez Álvarez, Alberto Prieto: What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems? IJCNN (6) 2000: 551-558 | |
| 17 | Héctor Pomares, Ignacio Rojas, Julio Ortega, Jesús González, Alberto Prieto: A systematic approach to a self-generating fuzzy rule-table for function approximation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(3): 431-447 (2000) | |
| 16 | Ignacio Rojas, Jesús González, Antonio Cañas, Antonio F. Díaz, Fernando Rojas, Manuel Rodríguez: Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights. Int. J. Neural Syst. 10(5): 353-364 (2000) | |
| 15 | Eduardo Ros Vidal, Francisco J. Pelayo, P. Martin-Smith, Ignacio Rojas, D. Palomar, Alberto Prieto: Competitive and Temporal Inhibition Structures with Spiking Neurons. Neural Processing Letters 11(3): 197-208 (2000) | |
| 14 | 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. Neural Processing Letters 12(1): 1-17 (2000) | |
| 13 | José Luis Bernier, Julio Ortega, Ignacio Rojas, Eduardo Ros Vidal, Alberto Prieto: Obtaining Fault Tolerant Multilayer Perceptrons Using an Explicit Regularization. Neural Processing Letters 12(2): 107-113 (2000) | |
| 12 | José Luis Bernier, Julio Ortega, Ignacio Rojas, Alberto Prieto: Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations. Neurocomputing 31(1-4): 87-103 (2000) | |
| 1999 | ||
| 11 | 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. IWANN (1) 1999: 631-640 | |
| 10 | Eduardo Ros Vidal, Francisco J. Pelayo, Ignacio Rojas, F. J. Fernández, Alberto Prieto: A VLSI Approach for Spike Timing Coding. IWANN (2) 1999: 166-175 | |
| 9 | José Luis Bernier, Julio Ortega, M. M. Rodríguez, Ignacio Rojas, Alberto Prieto: An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations. IWANN (2) 1999: 853-862 | |
| 8 | 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. Int. J. Approx. Reasoning 21(2): 109-136 (1999) | |
| 7 | Eduardo Ros, Francisco J. Pelayo, D. Palomar, Ignacio Rojas, José Luis Bernier, Alberto Prieto: Stimulus Correlation and Adaptive Motion Detection Using Spiking Neurons. Int. J. Neural Syst. 9(5): 485-490 (1999) | |
| 6 | José Luis Bernier, Julio Ortega, Eduardo Ros, Ignacio Rojas, Alberto Prieto: A New Measurement of Noise Immunity and Generalization Ability for MLPs. Int. J. Neural Syst. 9(6): 511-521 (1999) | |
| 5 | José Luis Bernier, Julio Ortega, M. M. Rodríguez, Ignacio Rojas, Alberto Prieto: An Accurate Measure for Multilayer Perceptron Tolerance to Weight Deviations. Neural Processing Letters 10(2): 121-130 (1999) | |
| 1998 | ||
| 4 | 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 | |
| 3 | Ignacio Rojas, Olga Valenzuela, Mancia Anguita, Alberto Prieto: Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process. Int. J. Approx. Reasoning 19(3-4): 367-389 (1998) | |
| 2 | Julio Ortega, Ignacio Rojas, Antonio F. Díaz, Alberto Prieto: Parallel Coarse Grain Computing of Boltzmann Machines. Neural Processing Letters 7(3): 169-184 (1998) | |
| 1997 | ||
| 1 | Ignacio Rojas, Olga Valenzuela, Alberto Prieto: Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks. IWANN 1997: 882-891 | |
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