 | 2012 |
| 59 |  | 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 |
| 58 |  | 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 |
| 57 |  | 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 |
| 56 |  | 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) |
| 55 |  | 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) |
| 54 |  | 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) |
| 2010 |
| 53 |  | 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 |
| 52 |  | 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 |
| 51 |  | 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 |
| 50 |  | 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 |
| 49 |  | 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) |
| 48 |  | 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) |
| 47 |  | 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) |
| 46 |  | 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 |
| 45 |  | 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 |
| 44 |  | 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 |
| 43 |  | 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 |
| 42 |  | 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 |
| 41 |  | 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 |
| 40 |  | 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 |
| 39 |  | 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 |
| 38 |  | 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 |
| 37 |  | 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 |
| 36 |  | 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) |
| 2008 |
| 35 |  | 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) |
| 34 |  | 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) |
| 33 |  | 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 |
| 32 |  | 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 |
| 31 |  | 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 |
| 30 |  | 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 |
| 29 |  | 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 |
| 28 |  | Ginés Rubio,
Héctor Pomares,
Luis Javier Herrera,
Ignacio Rojas:
Kernel Methods Applied to Time Series Forecasting.
IWANN 2007: 782-789 |
| 27 |  | 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 |
| 26 |  | 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) |
| 25 |  | 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) |
| 24 |  | 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) |
| 23 |  | 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) |
| 22 |  | 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) |
| 2006 |
| 21 |  | 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 |
| 20 |  | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Michel Verleysen,
Alberto Guillén:
Effective Input Variable Selection for Function Approximation.
ICANN (1) 2006: 41-50 |
| 19 |  | 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 |
| 18 |  | 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 |
| 17 |  | 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 |
| 16 |  | 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) |
| 2005 |
| 15 |  | 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 |
| 14 |  | 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 |
| 13 |  | 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 |
| 12 |  | 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 |
| 11 |  | Mohammed Awad,
Héctor Pomares,
Ignacio Rojas,
Luis Javier Herrera,
Alberto Prieto:
Input Variable Selection in Hierarchical RBF Networks.
IWANN 2005: 280-288 |
| 10 |  | 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 |
| 9 |  | 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 |
| 8 |  | 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 |
| 7 |  | 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 |
| 6 |  | 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 |
| 5 |  | 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 |
| 4 |  | 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 |
| 3 |  | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Olga Valenzuela,
Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Function Approximation.
MICAI 2004: 252-261 |
| 2 |  | 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 |
| 1 |  | 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 |