Fernando Rojas

发表

Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach

Héctor Pomares, Alberto Guillén, Luis Javier Herrera, 2005, IWANN.

Sleeping with ants, SVMs, multilayer perceptrons and SOMs

Agostinho C. Rosa, Juan Julián Merelo Guervós, Pedro A. Castillo, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Hybridization of intelligent techniques and ARIMA models for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Fuzzy Sets Syst..

Evolutionary Algorithm Using Mutual Information for Independent Component Analysis

Ignacio Rojas, Carlos García Puntonet, Manuel Rodríguez Álvarez, 2009, IWANN.

Multi-objective evolution of fuzzy systems

Héctor Pomares, Ignacio Rojas, Jesús González, 2006, Soft Comput..

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, Bioinform..

Intelligent Classifier for Atrial Fibrillation (ECG)

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2009, Encyclopedia of Artificial Intelligence.

Advanced Soft-Computing techniques and Clustering Algorithm for Gene Expression Microarray Data Classification.

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2014 .

A Blind Source Separation Algorithm for the Processing and Classification of Electro-oculogram Data

Olga Valenzuela, Fernando Rojas, Rodolfo V. García, 2016 .

Bioinformatics and Biomedical Engineering: 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6–8, 2020, Proceedings

Ignacio Rojas, Luis Javier Herrera, Olga Valenzuela, 2020, IWBBIO.

The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction

Ignacio Rojas, Alberto Prieto, Olga Valenzuela, 2003, CAEPIA.

Multidimensional and multideme genetic algorithms for the construction of fuzzy systems

Héctor Pomares, Ignacio Rojas, F. J. Fernández, 2001, Int. J. Approx. Reason..

Blind separation of speech signals based on lattice-ica geometric procedure.

Ali Mansour, Fernando Rojas, M. Rodrigues-Alvarez, 2003 .

Optimizing blind source separation with guided genetic algorithms

R. Martin, Juan Manuel Górriz, Elmar Wolfgang Lang, 2006, Neurocomputing.

Blind source separation in post-nonlinear mixtures using competitive learning, Simulated annealing, and a genetic algorithm

Ignacio Rojas, Carlos García Puntonet, Rubén Martín-Clemente, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Output value-based initialization for radial basis function neural networks

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neural Processing Letters.

Studying possibility in a clustering algorithm for RBFNN design for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neural Computing and Applications.

Evaluation of the Differentiation of Noisy Electrooculographic Records Using Continuous Wavelet Transform

Gonzalo Joya Caparrós, Fernando Rojas, David Zambrano, 2017, IWBBIO.

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels

Carlos García Puntonet, Jordi Solé i Casals, Enric Monte-Moreno, 2006, ICA.

Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm

Jesús González, Olga Valenzuela, Fernando Rojas, 2013, Neurocomputing.

Testbed implementation of a tensor-based compressive spectral imaging via angular decoupling

Henry Arguello, Hoover Rueda, Fernando Rojas, 2020 .

Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Int. J. Approx. Reason..

A New Methotology for Adaptive Fuzzy Controller. Comparison Performance against Several Control Algorithms in a Real Time Control Process

Héctor Pomares, Ignacio Rojas, Rafik Lasri, 2018, IJCCI.

The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2004, MICAI.

Soft-computing techniques and ARMA model for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Neurocomputing.

EogStudio - A Software Platform for Processing Electrooculography Recordings

Fernando Rojas, Rodolfo V. García, Jesús González, 2011, IJCCI.

Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process

Ignacio Rojas, Olga Valenzuela, Fernando Rojas, 2003, WILF.

Capability indices for Birnbaum–Saunders processes applied to electronic and food industries

Muhammad Aslam, Helton Saulo, Víctor Leiva, 2014 .

An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing

Ignacio Rojas, Julio Ortega, Carlos García Puntonet, 2009, IWANN.

Post-nonlinear blind source separation using methaheuristics

Carlos G. Puntonet, Rubén Martín-Clemente, Fernando Rojas, 2003 .

Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights

Ignacio Rojas, Antonio F. Díaz, Antonio Cañas, 2000, Int. J. Neural Syst..

An application of Kernel estimation method to the demand in two-stage inventory model

Fernando Rojas, Fernando Rojas, 2017 .

Fusion of Hyperspectral and Multispectral Images Based on a Centralized Non-local Sparsity Model of Abundance Maps

Henry Arguello, Edwin Vargas, Fernando Rojas, 2020 .

A two-stage approach to self-learning direct fuzzy controllers

Héctor Pomares, Ignacio Rojas, F. J. Fernández, 2002, Int. J. Approx. Reason..

Using intelligent system for medical decision-making to magnetic resonance imaging

Héctor Pomares, Alberto Guillén, Luis Javier Herrera, 2013, IWBBIO.

Intelligent decision-making systems for the diagnosis of Alzheimer's disease using MR images

Ignacio Rojas, Olga Valenzuela, Fernando Rojas, 2012 .

Parkinson's Disease Database Analysis of Stereotactic Coordinates Related to Clinical Outcomes

Ignacio Rojas, Fernando Rojas, Beatriz Lozano, 2018, IWBBIO.

Human activity recognition based on a sensor weighting hierarchical classifier

Héctor Pomares, Miguel Damas, Olga Valenzuela, 2013, Soft Comput..

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images

Ignacio Rojas, Olga Valenzuela, José Luis Bernier, 2014, IWBBIO.

A New Geometrical ICA-based Method for Blind Separation of Speech Signals

Ignacio Rojas, Elmar Wolfgang Lang, Manuel Rodríguez Álvarez, 2003, IWANN.

Compressive Spectral Imaging Via Virtual Side Information

Henry Arguello, Hoover Rueda, Fernando Rojas, 2020, IEEE Transactions on Computational Imaging.

Analysis of the Functional Block and Operator Involved in Fuzzy System Design

Ignacio Rojas, Miguel Pasadas, Olga Valenzuela, 2003, CAEPIA.

New Geometric ICA Approach for Blind Source Separation

Fabian J. Theis, Elmar Lang, Carlos G. Puntonet, 2003 .

Evaluating Mutual Information and Chi-Square Metrics in Text Features Selection Process: A Study Case Applied to the Text Classification in PubMed

Alfredo Simón-Cuevas, Fernando Rojas, Rodolfo García-Bermúdez, 2020, IWBBIO.

Advanced neural network systems for solving complex real problems

Olga Valenzuela, Fernando Rojas, Ignacio Rojas, 2021, Neural Process. Lett..

Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques

Ignacio Rojas, Olga Valenzuela, Francisco M. Ortuño, 2012, Nucleic acids research.

Feature selection using mutual information and neural networks

Alberto Guillén, Luis Javier Herrera, Olga Valenzuela, 2006 .