Olga Valenzuela

Oresti Baños, Miguel Damas, Héctor Pomares, Fernando Rojas, Blanca L. Delgado-Márquez, Olga Valenzuela: Human activity recognition based on a sensor weighting hierarchical classifier. Soft Comput. 17(2): 333-343 (2013)

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)

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)

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)

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

Olga Valenzuela, Miguel Pasadas: A new approach to estimate the interpolation error of fuzzy data using similarity measures of fuzzy numbers. Computers & Mathematics with Applications 61(6): 1633-1645 (2011)

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)

Rodolfo V. García, Fernando Rojas, Jesús González, Luís Velázquez, Roberto Rodríguez, Roberto Becerra-Garcia, Olga Valenzuela: Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA. IWANN (1) 2011: 323-328

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)

Rodolfo Garcia-Bermudez, Fernando Rojas Ruiz, Jesús González, Olga Valenzuela, Luís Velázquez, Cira Torres, Roberto Becerra-Garcia: Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach. ISDA 2010: 237-241

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)

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)

Rodolfo V. García, Fernando Rojas, Jesús González, Belén San Román, Olga Valenzuela, Alberto Prieto, Luís Velázquez, Roberto Rodríguez: Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2. ICANN (1) 2009: 259-266

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

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

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)

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)

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)

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)

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)

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)

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

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)

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)

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

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

Fernando Rojas, Carlos García Puntonet, Juan Manuel Górriz, Olga Valenzuela: Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources. ICNC (3) 2005: 863-872

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

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

Fernando Rojas Ruiz, Juan Manuel Górriz, Olga Valenzuela: Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation. IWANN 2005: 1043-1050

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

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

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

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

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

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

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

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

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

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)

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

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