DBLP: Ignacio Rojas Ruiz

	2013
j66		Francisco M. Ortuño Guzman, Ignacio Rojas, Miguel A. Andrade-Navarro, Jean-Fred Fontaine: Using cited references to improve the retrieval of related biomedical documents. BMC Bioinformatics 14: 113 (2013)
j65		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)
j64		Juan-Manuel Moreno Aróstegui, Joan Cabestany, Ignacio Rojas: Preface. Neural Processing Letters 37(1): 1 (2013)
j63		Ignacio Rojas, Joan Cabestany I. Moncusi, Gonzalo Joya Caparrós: Advances in computational intelligence. Soft Comput. 17(2): 195-197 (2013)
	2012
j62		Suhail M. Odeh, Francisco de Toro, Ignacio Rojas, María José Saéz-Lara: Evaluating Fluorescence Illumination Techniques for Skin Lesion Diagnosis. Applied Artificial Intelligence 26(7): 696-713 (2012)
j61		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)
j60		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)
j59		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)
j58		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)
j57		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)
c106		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
c105		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
c104		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
c103		David Jaramillo, Ignacio Rojas, Olga Valenzuela, Ignacio Garcia, Alberto Prieto: Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging. IJCNN 2012: 1-8
c102		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
j56		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)
j55		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)
j54		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)
j53		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)
j52		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)
j51		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)
j50		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)
c101		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
c100		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
c99		Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas: Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier. IWANN (2) 2011: 185-193
c98		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
c97		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
c96		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
c95		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
e2		Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós (Eds.): Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6691, Springer 2011, isbn 978-3-642-21500-1
e1		Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós (Eds.): Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6692, Springer 2011, isbn 978-3-642-21497-4
	2010
j49		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)
j48		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)
j47		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)
j46		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)
j45		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)
j44		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)
c94		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
c93		Ana Belén Cara, Héctor Pomares, Ignacio Rojas: An Algorithm for Online Self-organization of Fuzzy Controllers. IEA/AIE (2) 2010: 212-221
c92		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
c91		Oresti Baños, Héctor Pomares, Ignacio Rojas: Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition. IEA/AIE (2) 2010: 637-642
c90		Oresti Baños, Héctor Pomares, Ignacio Rojas: Ambient living activity recognition based on feature-set ranking using intelligent systems. IJCNN 2010: 1-4
c89		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
c88		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
c87		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
	2009
j43		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)
j42		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)
j41		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)
c86		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
c85		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
c84		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
c83		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
c82		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
c81		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
c80		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
c79		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
c78		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
c77		Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén: Creation of Specific-to-Problem Kernel Functions for Function Approximation. IWANN (1) 2009: 335-342
c76		Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, José Luis Bernier: Applications in Bio-informatics and Biomedical Engineering. IWANN (1) 2009: 820-828
c75		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
c74		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
c73		Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas: Efficient Parallel Feature Selection for Steganography Problems. IWANN (1) 2009: 1224-1231
c72		Pablo Cascón, Julio Ortega, Waseem M. Haider, Antonio F. Díaz, Ignacio Rojas: A Multi-Threaded Network Interface Using Network Processors. PDP 2009: 196-200
c71		Pablo Cascón, Julio Ortega, Antonio F. Díaz, Ignacio Rojas: Assessing the Performance of an Offloaded IDS on Network Processors. PDPTA 2009: 652-658
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
j40		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)
j39		Alberto Guillén, Dusan Sovilj, Amaury Lendasse, Fernando Mateo, Ignacio Rojas: Minimising the delta test for variable selection in regression problems. IJHPSA 1(4): 269-281 (2008)
j38		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)
j37		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
j36		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)
j35		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)
j34		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)
j33		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)
j32		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)
j31		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)
j30		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)
c70		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
c69		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
c68		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
c67		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
c66		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
c65		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
c64		Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas: Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789
c63		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
j29		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)
j28		Jesús González, Ignacio Rojas, Héctor Pomares, Fernando Rojas, José M. Palomares: Multi-objective evolution of fuzzy systems. Soft Comput. 10(9): 735-748 (2006)
c62		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
c61		Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50
c60		Suhail M. Odeh, Eduardo Ros, Ignacio Rojas, José M. Palomares: Skin Lesion Diagnosis Using Fluorescence Images. ICIAR (2) 2006: 648-659
c59		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
c58		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
c57		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
j27		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)
c56		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
c55		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
c54		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
c53		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
c52		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
c51		Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto: Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288
c50		Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega: Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs. IWANN 2005: 297-305
c49		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
c48		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
c47		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
c46		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
c45		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
c44		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
j26		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)
c43		Ignacio Rojas Ruiz, Héctor Pomares: Soft-computing techniques for time series forecasting. ESANN 2004: 93-102
c42		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
c41		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
c40		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
c39		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
c38		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
c37		Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad: MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261
c36		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
j25		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)
j24		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)
c35		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
c34		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
c33		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
c32		Fernando Rojas, Carlos García Puntonet, Manuel Rodríguez Álvarez, Ignacio Rojas: Evolutionary Algorithm Using Mutual Information for Independent Component Analysis. IWANN (2) 2003: 233-240
c31		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
c30		Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks. IWANN (1) 2003: 454-461
c29		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
c28		Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Studying the Convergence of the CFA Algorithm. IWANN (1) 2003: 550-557
c27		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
c26		Olga Valenzuela, Ignacio Rojas, Fernando Rojas: Sequential Learning Algorithm of Neural Networks Systems for Time Series. KI 2003: 327-341
c25		Olga Valenzuela, Ignacio Rojas, Fernando Rojas: Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process. WILF 2003: 63-71
	2002
j23		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)
j22		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)
j21		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)
j20		Jesús González, Ignacio Rojas, Julio Ortega, Alberto Prieto: A new clustering technique for function approximation. IEEE Transactions on Neural Networks 13(1): 132-142 (2002)
j19		Pedro A. Castillo Valdivieso, Juan Julián Merelo Guervós, Alberto Prieto, Ignacio Rojas, Gustavo Romero: Statistical analysis of the parameters of a neuro-genetic algorithm. IEEE Transactions on Neural Networks 13(6): 1374-1394 (2002)
j18		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)
j17		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)
c24		Héctor Pomares, Ignacio Rojas, Jesús González: New Methodology for Structure Identification of Fuzzy Controllers in Real Time. IBERAMIA 2002: 845-854
c23		Jesús González, Ignacio Rojas, Héctor Pomares: Neural Networks, Clustering Techniques, and Function Approximation Problems. ICANN 2002: 553-558
c22		Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser: Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. ICANN 2002: 559-564
c21		Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas: SSA, SVD, QR-cp, and RBF Model Reduction. ICANN 2002: 589-594
c20		Jesús González, Ignacio Rojas, Héctor Pomares: Evolutive Identification of Fuzzy Systems for Time-Series Prediction. PPSN 2002: 517-526
	2001
j16		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)
j15		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)
j14		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)
c19		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
c18		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
c17		Héctor Pomares, Ignacio Rojas, Jesús González, Alberto Prieto: A Method for Structure Identification in Complete Rule-based Fuzzy Systems. FUZZ-IEEE 2001: 376-379
c16		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
c15		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
c14		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
c13		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
c12		Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. IWANN (1) 2001: 498-505
c11		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
c10		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
c9		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
c8		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
	2000
j13		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)
j12		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)
j11		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)
j10		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)
j9		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)
j8		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)
j7		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)
c7		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
c6		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
	1999
j6		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)
j5		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)
j4		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)
j3		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)
c5		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
c4		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
c3		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
	1998
j2		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)
j1		Julio Ortega, Ignacio Rojas, Antonio F. Díaz, Alberto Prieto: Parallel Coarse Grain Computing of Boltzmann Machines. Neural Processing Letters 7(3): 169-184 (1998)
c2		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
	1997
c1		Ignacio Rojas, Olga Valenzuela, Alberto Prieto: Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks. IWANN 1997: 882-891

2013

j66

Francisco M. Ortuño Guzman, Ignacio Rojas, Miguel A. Andrade-Navarro, Jean-Fred Fontaine: Using cited references to improve the retrieval of related biomedical documents. BMC Bioinformatics 14: 113 (2013)

j65

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)

j64

Juan-Manuel Moreno Aróstegui, Joan Cabestany, Ignacio Rojas: Preface. Neural Processing Letters 37(1): 1 (2013)

j63

Ignacio Rojas, Joan Cabestany I. Moncusi, Gonzalo Joya Caparrós: Advances in computational intelligence. Soft Comput. 17(2): 195-197 (2013)

2012

j62

Suhail M. Odeh, Francisco de Toro, Ignacio Rojas, María José Saéz-Lara: Evaluating Fluorescence Illumination Techniques for Skin Lesion Diagnosis. Applied Artificial Intelligence 26(7): 696-713 (2012)

j61

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)

j60

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)

j59

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)

j58

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)

j57

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)

c106

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

c105

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

c104

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

c103

David Jaramillo, Ignacio Rojas, Olga Valenzuela, Ignacio Garcia, Alberto Prieto: Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging. IJCNN 2012: 1-8

c102

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

j56

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)

j55

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)

j54

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)

j53

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)

j52

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)

j51

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)

j50

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)

c101

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

c100

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

c99

Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas: Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier. IWANN (2) 2011: 185-193

c98

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

c97

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

c96

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

c95

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

Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós (Eds.): Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6691, Springer 2011, isbn 978-3-642-21500-1

Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós (Eds.): Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6692, Springer 2011, isbn 978-3-642-21497-4

2010

j49

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)

j48

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)

j47

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)

j46

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)

j45

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)

j44

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)

c94

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

c93

Ana Belén Cara, Héctor Pomares, Ignacio Rojas: An Algorithm for Online Self-organization of Fuzzy Controllers. IEA/AIE (2) 2010: 212-221

c92

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

c91

Oresti Baños, Héctor Pomares, Ignacio Rojas: Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition. IEA/AIE (2) 2010: 637-642

c90

Oresti Baños, Héctor Pomares, Ignacio Rojas: Ambient living activity recognition based on feature-set ranking using intelligent systems. IJCNN 2010: 1-4

c89

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

c88

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

c87

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

2009

j43

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)

j42

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)

j41

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)

c86

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

c85

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

c84

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

c83

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

c82

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

c81

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

c80

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

c79

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

c78

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

c77

Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén: Creation of Specific-to-Problem Kernel Functions for Function Approximation. IWANN (1) 2009: 335-342

c76

Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, José Luis Bernier: Applications in Bio-informatics and Biomedical Engineering. IWANN (1) 2009: 820-828

c75

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

c74

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

c73

Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas: Efficient Parallel Feature Selection for Steganography Problems. IWANN (1) 2009: 1224-1231

c72

Pablo Cascón, Julio Ortega, Waseem M. Haider, Antonio F. Díaz, Ignacio Rojas: A Multi-Threaded Network Interface Using Network Processors. PDP 2009: 196-200

c71

Pablo Cascón, Julio Ortega, Antonio F. Díaz, Ignacio Rojas: Assessing the Performance of an Offloaded IDS on Network Processors. PDPTA 2009: 652-658

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

j40

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)

j39

Alberto Guillén, Dusan Sovilj, Amaury Lendasse, Fernando Mateo, Ignacio Rojas: Minimising the delta test for variable selection in regression problems. IJHPSA 1(4): 269-281 (2008)

j38

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)

j37

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

j36

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)

j35

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)

j34

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)

j33

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)

j32

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)

j31

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)

j30

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)

c70

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

c69

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

c68

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

c67

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

c66

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

c65

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

c64

Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas: Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789

c63

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

j29

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)

j28

Jesús González, Ignacio Rojas, Héctor Pomares, Fernando Rojas, José M. Palomares: Multi-objective evolution of fuzzy systems. Soft Comput. 10(9): 735-748 (2006)

c62

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

c61

Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50

c60

Suhail M. Odeh, Eduardo Ros, Ignacio Rojas, José M. Palomares: Skin Lesion Diagnosis Using Fluorescence Images. ICIAR (2) 2006: 648-659

c59

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

c58

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

c57

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

j27

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)

c56

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

c55

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

c54

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

c53

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

c52

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

c51

Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto: Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288

c50

Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega: Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs. IWANN 2005: 297-305

c49

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

c48

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

c47

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

c46

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

c45

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

c44

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

j26

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)

c43

Ignacio Rojas Ruiz, Héctor Pomares: Soft-computing techniques for time series forecasting. ESANN 2004: 93-102

c42

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

c41

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

c40

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

c39

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

c38

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

c37

Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad: MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261

c36

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

j25

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)

j24

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)

c35

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

c34

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

c33

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

c32

Fernando Rojas, Carlos García Puntonet, Manuel Rodríguez Álvarez, Ignacio Rojas: Evolutionary Algorithm Using Mutual Information for Independent Component Analysis. IWANN (2) 2003: 233-240

c31

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

c30

Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks. IWANN (1) 2003: 454-461

c29

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

c28

Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: Studying the Convergence of the CFA Algorithm. IWANN (1) 2003: 550-557

c27

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

c26

Olga Valenzuela, Ignacio Rojas, Fernando Rojas: Sequential Learning Algorithm of Neural Networks Systems for Time Series. KI 2003: 327-341

c25

Olga Valenzuela, Ignacio Rojas, Fernando Rojas: Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process. WILF 2003: 63-71

2002

j23

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)

j22

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)

j21

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)

j20

Jesús González, Ignacio Rojas, Julio Ortega, Alberto Prieto: A new clustering technique for function approximation. IEEE Transactions on Neural Networks 13(1): 132-142 (2002)

j19

Pedro A. Castillo Valdivieso, Juan Julián Merelo Guervós, Alberto Prieto, Ignacio Rojas, Gustavo Romero: Statistical analysis of the parameters of a neuro-genetic algorithm. IEEE Transactions on Neural Networks 13(6): 1374-1394 (2002)

j18

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)

j17

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)

c24

Héctor Pomares, Ignacio Rojas, Jesús González: New Methodology for Structure Identification of Fuzzy Controllers in Real Time. IBERAMIA 2002: 845-854

c23

Jesús González, Ignacio Rojas, Héctor Pomares: Neural Networks, Clustering Techniques, and Function Approximation Problems. ICANN 2002: 553-558

c22

Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser: Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. ICANN 2002: 559-564

c21

Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas: SSA, SVD, QR-cp, and RBF Model Reduction. ICANN 2002: 589-594

c20

Jesús González, Ignacio Rojas, Héctor Pomares: Evolutive Identification of Fuzzy Systems for Time-Series Prediction. PPSN 2002: 517-526

2001

j16

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)

j15

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)

j14

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)

c19

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

c18

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

c17

Héctor Pomares, Ignacio Rojas, Jesús González, Alberto Prieto: A Method for Structure Identification in Complete Rule-based Fuzzy Systems. FUZZ-IEEE 2001: 376-379

c16

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

c15

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

c14

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

c13

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

c12

Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega: RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. IWANN (1) 2001: 498-505

c11

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

c10

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

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

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

2000

j13

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)

j12

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)

j11

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)

j10

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)

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)

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)

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)

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

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

1999

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)

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)

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)

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)

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

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

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

1998

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)

Julio Ortega, Ignacio Rojas, Antonio F. Díaz, Alberto Prieto: Parallel Coarse Grain Computing of Boltzmann Machines. Neural Processing Letters 7(3): 169-184 (1998)

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

1997

Ignacio Rojas, Olga Valenzuela, Alberto Prieto: Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks. IWANN 1997: 882-891

1	Rafael Alcalá	[j30]
2	Jesús Alcalá-Fdez	[j30]
3	Oliver Amft	[c104]
4	Miguel A. Andrade-Navarro (Miguel A. Andrade)	[j66]
5	Plamen P. Angelov	[c105]
6	Mancia Anguita	[j6] [j2] [c2]
7	Maribel García Arenas	[c97]
8	A. Aránega	[c92]
9	Juan-Manuel Moreno Aróstegui	[j64]
10	Mohammed Awad	[j58] [j42] [j35] [c56] [c51] [c49] [c44] [c42] [c37]
11	Robert Babuska	[j48] [c94]
12	Oresti Baños	[j60] [c104] [c102] [c100] [c99] [c91] [c90]
13	José Luis Bernier	[j43] [c76] [c33] [j22] [j14] [c18] [j12] [j10] [j9] [c6] [j5] [j4] [j3] [c3]
14	Joan Cabestany (Joan Cabestany I. Moncusi)	[j64] [j63] [e2] [e1]
15	Alberto Calatroni	[c102]
16	José C. Calvo	[c75] [c74]
17	Gonzalo Joya Caparrós	[j63] [e2] [e1]
18	Ana Belén Cara	[j65] [c105] [j52] [j48] [c94] [c93]
19	J. Carpio	[j25]
20	Pablo Cascón	[j51] [j50] [c72] [c71]
21	Antonio Cañas (Antonio Cañas Vargas)	[j13]
22	Maria del Mar Cepero	[j61] [r1] [c70]
23	Ricardo Chavarriaga	[c102]
24	M. Gonzalo Claros (Manuel Gonzalo Claros)	[c89] [c75]
25	Oscar Cordón	[j30]
26	Miguel Damas	[j60] [c104] [c102] [c100] [c99] [j26] [j23] [c16] [c13] [c11]
27	J. Diestuhl	[c15] [c14]
28	Antonio F. Díaz	[j51] [j50] [c72] [c71] [j24] [j13] [j1]
29	F. J. Fernández	[j23] [j15] [c5]
30	Francisco Fernández	[c69] [c59]
31	Francisco Javier Fernández	[j24]
32	J. P. Florido (Javier P. Florido)	[j61] [j57] [c106] [j55] [c98] [c96] [c95] [c89] [c81] [c75] [c74]
33	Jean-Fred Fontaine	[j66]
34	Ignacio Garcia	[c103]
35	Antonio Mora García (Antonio Miguel Mora)	[c87]
36	P. Gloesekotter	[c15] [c14]
37	Peter Glösekötter	[c82]
38	Jose Gonzalez	[c88]
39	Jesús González	[j47] [j41] [c79] [j37] [j36] [j35] [j34] [j32] [c69] [c67] [c65] [c63] [j29] [j28] [c62] [c59] [c58] [c57] [c55] [c52] [c49] [c45] [c44] [j26] [c42] [c38] [c36] [j24] [c30] [c28] [j23] [j21] [j20] [j18] [j17] [c24] [c23] [c22] [c20] [j16] [j15] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j13] [j10] [j7] [c7]
40	Karl Goser	[c22] [c15] [c14]
41	Juan Julián Merelo Guervós (Juan J. Merelo Guervós)	[c87] [j25] [j19] [j18] [j17] [j16]
42	J. F. Guillen	[c88] [c80]
43	Alberto Guillén	[j56] [j54] [c97] [j49] [j46] [j45] [j44] [c88] [j43] [j41] [c86] [c85] [c84] [c83] [c82] [c80] [c78] [c77] [c73] [r1] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [c69] [c68] [c67] [c65] [c63] [j29] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c52] [c49] [c48] [c47] [c46] [c45] [c44]
44	Francisco M. Ortuño Guzman	[j66] [c106] [c98] [c96] [c95]
45	Juan Manuel Górriz (Juan Manuel Górriz Sáez, J. M. Górriz)	[c39]
46	Waseem M. Haider	[c72]
47	Mai Hamdon	[j42]
48	M. van Heeswijk	[c97]
49	A. Herrera	[j35]
50	Luis Javier Herrera	[j65] [j61] [j59] [j56] [j54] [j53] [c97] [c95] [j47] [j46] [j45] [j44] [c89] [c88] [c87] [j43] [c86] [c84] [c83] [c81] [c80] [c79] [c78] [c74] [r1] [j40] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [c69] [c68] [c67] [c65] [c64] [c63] [j29] [c62] [c61] [c59] [c58] [c57] [j27] [c56] [c55] [c52] [c51] [c49] [c48] [c46] [c45] [c44] [c42] [c38] [c37] [c36]
51	David Jaramillo	[c103]
52	María José del Jesús	[j31] [c66] [c29]
53	Elmar Wolfgang Lang	[c41] [c33] [c31]
54	Rafik Lasri	[c101]
55	Amaury Lendasse	[j45] [c86] [c85] [c73] [j39]
56	Zsófia Lendek	[j48] [c94]
57	M. A. Lopez-Gordo	[j57]
58	Yan Luo	[j51]
59	Ali Mansour	[c19]
60	Luisa Marquez	[j40] [j38] [c54]
61	P. Martin-Smith	[j11]
62	Rubén Martín-Clemente	[c40]
63	Fernando Mateo	[j39]
64	Yoan Miche	[c73]
65	José del R. Millán	[c102]
66	F. G. del Moral	[j44]
67	Sonia Mota	[c33]
68	Eric Murray	[j51]
69	Lozano Márquez	[c35]
70	Suhail M. Odeh	[j62] [c60]
71	Julio Ortega	[j53] [j51] [j50] [c74] [c72] [c71] [j31] [c50] [j24] [c30] [c29] [c28] [c27] [j22] [j20] [c21] [j14] [c12] [c9] [j12] [j9] [j8] [j7] [c7] [j4] [j3] [c4] [c3] [j1]
72	Andrés Ortiz	[j50]
73	José Miguel Urquiza Ortiz	[c89] [c87] [c81]
74	Ben Paechter	[c84] [c82] [c67] [c62]
75	D. Palomar	[j11] [j5]
76	José M. Palomares (José Manuel Palomares Muñoz)	[j36] [j28] [c60]
77	Miguel Pasadas	[j40] [j38] [c35]
78	Francisco J. Pelayo	[j22] [j11] [j10] [j6] [j5] [c5]
79	Javier P. Perez-Florido	[j59]
80	Begoña Pino	[j26] [j22]
81	Héctor Pomares	[j65] [j61] [j60] [j59] [j58] [j57] [c106] [c105] [c104] [c102] [j56] [j55] [j54] [j53] [j52] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [j49] [j48] [j47] [j46] [j45] [j44] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [j43] [j42] [j41] [c86] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [j40] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [c69] [c68] [c67] [c65] [c64] [c63] [j29] [j28] [c62] [c61] [c59] [c58] [c57] [j27] [c56] [c55] [c52] [c51] [c49] [c48] [c47] [c45] [c44] [j26] [c43] [c42] [c38] [c37] [c36] [j24] [c30] [c28] [j23] [j22] [j21] [j18] [j17] [c24] [c23] [c22] [c20] [j16] [j15] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j10] [j8] [j7] [c7] [j6] [c4] [c2]
82	J. C. Prados	[c92]
83	Alberto Prieto	[j60] [c106] [c105] [c103] [j53] [c92] [j34] [j33] [c65] [c58] [c57] [j27] [c52] [c51] [c48] [c45] [j26] [c34] [j22] [j21] [j20] [j19] [c22] [c21] [j16] [j15] [j14] [c17] [c16] [c13] [c9] [j12] [j11] [j10] [j9] [j8] [j7] [c7] [c6] [j6] [j5] [j4] [j3] [c5] [c4] [c3] [j2] [j1] [c2] [c1]
84	Beatriz Prieto	[c92] [j41] [c19]
85	R. Pulgar	[j47] [c79]
86	Carlos García Puntonet	[c53] [c41] [c40] [c39] [c33] [c32] [c27] [c21] [c19] [c18] [c8]
87	M. M. Pérez	[j47] [c79]
88	M. Dolores Pérez-Godoy	[c66]
89	Antonio Jesús Rivera Rivas	[j31] [c66] [c50] [c29] [c9]
90	A. Rivera	[j49]
91	Francisco Rodríguez	[c92]
92	M. M. Rodríguez	[c33] [j3] [c3]
93	Manuel Rodríguez 0002	[c35] [j13]
94	Daniel Roggen	[c102]
95	Fernando J. Rojas	[r1] [c18]
96	Francisco Javier Rojas	[j43] [c70]
97	Gustavo Romero	[j25] [j19] [j18]
98	Samuel F. Romero	[c80]
99	Ginés Rubio	[j54] [j49] [j46] [j45] [j44] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c78] [c77] [c74] [c68] [c64] [c47]
100	Fernando Rojas Ruiz (Fernando Rojas)	[c101] [r1] [j40] [j38] [j37] [j36] [j32] [c70] [j29] [j28] [c54] [c53] [c41] [c40] [c39] [c38] [c35] [c34] [c32] [c31] [c27] [c26] [c25] [j23] [j15] [j13]
101	Pouria Sadeghi-Tehran	[c105]
102	Hesam Sagha	[c102]
103	Osama Salameh	[j42]
104	Moisés Salmerón	[j17] [c21] [j16] [c10] [c7]
105	Moisés Salmerón-Campos	[c41]
106	J. Santana	[j47] [c79]
107	Víctor Manuel Rivas Santos (Víctor M. Rivas)	[j25]
108	María José Saéz-Lara	[j62]
109	Antti Sorjamaa	[c85] [c73]
110	Dusan Sovilj	[c97] [j39]
111	I. Toda	[j49]
112	Francisco de Toro	[j62]
113	C. I. Torres-Ceballos	[c82]
114	Carlos Tovar	[c88]
115	A. M. Trujillo	[c92] [c80]
116	Gerhard Tröster	[c102]
117	Máté Attila Tóth	[c104]
118	José M. Urquiza	[j61] [j59] [j57] [c106] [j54] [j53] [c98] [c96] [c95] [c78] [c75] [c74]
119	Pedro A. Castillo Valdivieso (Pedro A. Castillo)	[j25] [j19] [j18]
120	Olga Valenzuela	[j61] [j59] [j58] [c103] [j56] [j44] [j43] [j41] [c76] [r1] [j40] [j38] [j37] [j34] [j33] [j32] [c70] [j29] [j27] [c56] [c54] [c52] [c48] [c45] [c42] [c38] [c37] [c36] [c35] [c34] [c26] [c25] [j2] [c2] [c1]
121	Michel Verleysen	[c61]
122	Eduardo Ros Vidal (Eduardo Ros)	[c60] [c46] [c33] [j14] [c18] [j11] [j10] [j9] [c7] [j6] [j5] [j4] [c5] [c4] [c2]
123	Manuel Rodríguez Álvarez	[c41] [c40] [c39] [c32] [c31] [c19] [c8] [c6]
124	P. J. Álvarez-Aranega	[c92]

Ignacio Rojas Ruiz

Coauthor Index