- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j48 |      | 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) |
| j47 | | Oresti Baños, Miguel Damas, Héctor Pomares, Fernando Rojas, Blanca L. Delgado-Márquez, Olga Valenzuela: Human activity recognition based on a sensor weighting hierarchical classifier. Soft Comput. 17(2): 333-343 (2013) |
| j46 | | Jesús González, Héctor Pomares, Miguel Damas, Pablo García-Sánchez, Manuel Rodriguez-Alvarez, José M. Palomares: The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming. IEEE Trans. Education 56(2): 199-207 (2013) |
| 2012 | ||
| j45 | | 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) |
| j44 | | Oresti Baños, Miguel Damas, Héctor Pomares, Alberto Prieto, Ignacio Rojas: Daily living activity recognition based on statistical feature quality group selection. Expert Syst. Appl. 39(9): 8013-8021 (2012) |
| j43 | | 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) |
| j42 | | 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) |
| j41 | | J. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, M. A. Lopez-Gordo: A deterministic model selection scheme for incremental RBFNN construction in time series forecasting. Neural Computing and Applications 21(3): 595-610 (2012) |
| c80 | | Francisco M. Ortuño Guzman, Javier P. Florido, José M. Urquiza, Héctor Pomares, Alberto Prieto, Ignacio Rojas: Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II. IEEE Congress on Evolutionary Computation 2012: 1-8 |
| c79 | | Pouria Sadeghi-Tehran, Ana Belén Cara, Plamen P. Angelov, Héctor Pomares, Ignacio Rojas, Alberto Prieto: Self-evolving parameter-free Rule-based Controller. FUZZ-IEEE 2012: 1-8 |
| c78 | | Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas, Máté Attila Tóth, Oliver Amft: A benchmark dataset to evaluate sensor displacement in activity recognition. UbiComp 2012: 1026-1035 |
| c77 | | Oresti Baños, Alberto Calatroni, Miguel Damas, Héctor Pomares, Ignacio Rojas, Hesam Sagha, José del R. Millán, Gerhard Tröster, Ricardo Chavarriaga, Daniel Roggen: Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities. ISWC 2012: 92-99 |
| 2011 | ||
| j40 | | 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) |
| j39 | | 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) |
| j38 | | 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) |
| j37 | | 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) |
| j36 | | 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) |
| c76 |  | Rafik Lasri, Ignacio Rojas, Héctor Pomares, Fernando Rojas: A New Methotology for Adaptive Fuzzy Controller. Comparison Performance against Several Control Algorithms in a Real Time Control Process. IJCCI (ECTA-FCTA) 2011: 470-474 |
| c75 | | Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas: Recognition of human physical activity based on a novel hierarchical weighted classification scheme. IJCNN 2011: 2205-2209 |
| c74 | | Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas: Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier. IWANN (2) 2011: 185-193 |
| c73 | | J. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, Francisco M. Ortuño Guzman: Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network. IWANN (2) 2011: 194-201 |
| c72 | | 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 |
| c71 | | 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 |
| c70 | | 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 | ||
| j35 | | 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) |
| j34 | | Ana Belén Cara, Héctor Pomares, Ignacio Rojas, Zsófia Lendek, Robert Babuska: Online self-evolving fuzzy controller with global learning capabilities. Evolving Systems 1(4): 225-239 (2010) |
| j33 | | 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) |
| j32 | | 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) |
| j31 | | 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) |
| j30 | | 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) |
| c69 | | Samuel F. Romero, Alberto Guillén, Cristóbal J. Carmona, Christian A. Morillas, Francisco J. Pelayo, Héctor Pomares: Preselection of Neurostimulation Waveforms for Visual Prostheses using Genetic Algorithms. BIODEVICES 2010: 191-194 |
| c68 | | Ana Belén Cara, Zsófia Lendek, Robert Babuska, Héctor Pomares, Ignacio Rojas: Online self-organizing adaptive fuzzy controller: Application to a nonlinear servo system. FUZZ-IEEE 2010: 1-8 |
| c67 | | Ana Belén Cara, Héctor Pomares, Ignacio Rojas: An Algorithm for Online Self-organization of Fuzzy Controllers. IEA/AIE (2) 2010: 212-221 |
| c66 | | 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 |
| c65 | | Oresti Baños, Héctor Pomares, Ignacio Rojas: Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition. IEA/AIE (2) 2010: 637-642 |
| c64 | | Oresti Baños, Héctor Pomares, Ignacio Rojas: Ambient living activity recognition based on feature-set ranking using intelligent systems. IJCNN 2010: 1-4 |
| c63 | | 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 |
| c62 | | 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 |
| 2009 | ||
| j29 | | 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) |
| j28 | | 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) |
| j27 | | 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) |
| j26 | | Miguel Ángel López, Héctor Pomares, Francisco J. Pelayo, José M. Urquiza, Javier Perez: Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces. Neurocomputing 72(16-18): 3617-3623 (2009) |
| c61 | | 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 |
| c60 | | 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 |
| c59 | | 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 |
| c58 | | Ginés Rubio, Alberto Guillén, Héctor Pomares, Ignacio Rojas, Ben Paechter, Peter Glösekötter, C. I. Torres-Ceballos: Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. HPCS 2009: 145-152 |
| c57 | | 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 |
| c56 | | 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 |
| c55 | | 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 |
| c54 | | 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 |
| c53 | | Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén: Creation of Specific-to-Problem Kernel Functions for Function Approximation. IWANN (1) 2009: 335-342 |
| c52 | | Miguel Ángel López, Héctor Pomares, Alberto Prieto, Francisco J. Pelayo: Multiple AM Modulated Visual Stimuli in Brain-Computer Interface. IWANN (1) 2009: 683-689 |
| c51 | | Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, José Luis Bernier: Applications in Bio-informatics and Biomedical Engineering. IWANN (1) 2009: 820-828 |
| c50 | | 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 |
| c49 | | 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 |
| 2008 | ||
| j25 | | 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) |
| j24 | | 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) |
| j23 | | 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) |
| c48 | | Miguel Ángel López, Héctor Pomares, Alberto Prieto, Francisco J. Pelayo: Signal Processing and Perceptrons in an Auditory Based Brain-Computer Interface. HIS 2008: 781-786 |
| 2007 | ||
| j22 | | 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) |
| j21 | | 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) |
| j20 | | 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) |
| j19 | | 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) |
| j18 | | 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) |
| c47 | | 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 |
| c46 | | 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 |
| c45 | | 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 |
| c44 | | Miguel Ángel López, Héctor Pomares, Miguel Damas, Antonio Díaz Estrella, Alberto Prieto, Francisco J. Pelayo, Eva María de la Plaza Hernández: Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments. IWANN 2007: 170-177 |
| c43 | | 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 |
| c42 | | Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas: Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789 |
| c41 | | Miguel Ángel López, Héctor Pomares, Miguel Damas, Eduardo Madrid, Alberto Prieto, Francisco J. Pelayo, Eva María de la Plaza Hernández: Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces. IWANN 2007: 956-963 |
| c40 | | 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 |
| c39 | | Miguel Ángel López, Héctor Pomares, Miguel Damas, Alberto Prieto, Eva María de la Plaza Hernández: Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces. IWINAC (1) 2007: 407-415 |
| 2006 | ||
| j17 | | 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) |
| j16 | | Jesús González, Ignacio Rojas, Héctor Pomares, Fernando Rojas, José M. Palomares: Multi-objective evolution of fuzzy systems. Soft Comput. 10(9): 735-748 (2006) |
| c38 | | 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 |
| c37 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50 |
| c36 | | 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 |
| c35 | | 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 |
| c34 | | 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 | ||
| j15 | | 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) |
| c33 | | 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 |
| c32 | | 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 |
| c31 | | Ginés Rubio, Héctor Pomares: A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation. IWANN 2005: 34-41 |
| c30 | | 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 |
| c29 | | Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto: Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288 |
| c28 | | 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 |
| c27 | | 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 |
| c26 | | 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 |
| c25 | | 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 |
| c24 | | 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 |
| c23 | | 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 | ||
| j14 | | 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) |
| c22 | | Ignacio Rojas Ruiz, Héctor Pomares: Soft-computing techniques for time series forecasting. ESANN 2004: 93-102 |
| c21 | | 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 |
| c20 | | 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 |
| c19 | | Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad: MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261 |
| c18 | | 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 |
| 2003 | ||
| j13 | | 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) |
| c17 | | Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks. IWANN (1) 2003: 454-461 |
| c16 | | Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Studying the Convergence of the CFA Algorithm. IWANN (1) 2003: 550-557 |
| 2002 | ||
| j12 | | 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) |
| j11 | | 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) |
| j10 | | Héctor Pomares, Ignacio Rojas, Jesús González, Alberto Prieto: Structure identification in complete rule-based fuzzy systems. IEEE T. Fuzzy Systems 10(3): 349-359 (2002) |
| j9 | | 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) |
| j8 | | 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) |
| c15 | | Héctor Pomares, Ignacio Rojas, Jesús González: New Methodology for Structure Identification of Fuzzy Controllers in Real Time. IBERAMIA 2002: 845-854 |
| c14 | | Jesús González, Ignacio Rojas, Héctor Pomares: Neural Networks, Clustering Techniques, and Function Approximation Problems. ICANN 2002: 553-558 |
| c13 | | Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser: Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. ICANN 2002: 559-564 |
| c12 | | Jesús González, Ignacio Rojas, Héctor Pomares: Evolutive Identification of Fuzzy Systems for Time-Series Prediction. PPSN 2002: 517-526 |
| 2001 | ||
| j7 | | 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) |
| j6 | | Miguel Damas, Moisés Salmerón, Julio Ortega, G. Olivares, Héctor Pomares: Parallel dynamic water supply scheduling in a cluster of computers. Concurrency and Computation: Practice and Experience 13(15): 1281-1302 (2001) |
| j5 | | 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) |
| c11 | | Héctor Pomares, Ignacio Rojas, Jesús González, Alberto Prieto: A Method for Structure Identification in Complete Rule-based Fuzzy Systems. FUZZ-IEEE 2001: 376-379 |
| c10 | | 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 |
| c9 | | Ignacio Rojas, Héctor Pomares, Jesús González, P. Gloesekotter, J. Diestuhl, Karl Goser: A New Sequential Learning Algorithm Using Pseudo-gaussian Functions for Neuro-fuzzy Systems. FUZZ-IEEE 2001: 1243-1246 |
| c8 | | Ignacio Rojas Ruiz, Héctor Pomares, Jesús González, P. Gloesekotter, J. Diestuhl, Karl Goser: Multideme Evolution algorithm Based Approach to the Generation of Fuzzy Systems. FUZZ-IEEE 2001: 1412-1415 |
| c7 | | 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 |
| c6 | | Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. IWANN (1) 2001: 498-505 |
| c5 | | 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 |
| c4 | | 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 |
| 2000 | ||
| j4 | | 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) |
| j3 | | Ignacio Rojas, Héctor Pomares, Julio Ortega, Alberto Prieto: Self-organized fuzzy system generation from training examples. IEEE T. Fuzzy Systems 8(1): 23-36 (2000) |
| j2 | | 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) |
| c3 | | 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 |
| 1999 | ||
| j1 | | 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) |
| c2 | | 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 |
| 1998 | ||
| c1 | | 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 |
Data released under the ODC-BY 1.0 license — See also our legal information page