F. Rojas

发表

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 §1. Introduction

I. Rojas, M. Pasadas, O. Valenzuela, 2022 .

Feature selection using mutual information and neural networks

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

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

L. Herrera, F. Rojas, Ignacio Rojas, 2017, BMC Bioinformatics.

Bioinformatics and Biomedical Engineering

Ignacio Rojas, Olga Valenzuela, Francisco Ortuño, 2019, Lecture Notes in Computer Science.

Design and Application of Automated Algorithms for Diagnosis and Treatment Optimization in Neurodegenerative Diseases

M. Blázquez, F. Rojas, Ignacio Rojas, 2022, Neuroinformatics.

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.

Multi-Class Classifier in Parkinson’s Disease Using an Evolutionary Multi-Objective Optimization Algorithm

O. Valenzuela, F. Rojas, Elvira Delgado-Márquez, 2022, Applied Sciences.

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).

An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing

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

Applying Neural Networks and Genetic Algorithms to the Separation of Sources

Carlos García Puntonet, Rubén Martín-Clemente, Fernando Rojas Ruiz, 2002, IBERAMIA.

Genetic algorithm approach to nonlinear blind source separation

Ignacio Rojas, Alberto Prieto, Carlos G. Puntonet, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

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

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

Optimizing blind source separation with guided genetic algorithms

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

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels

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

Evolutionary Algorithm Using Mutual Information for Independent Component Analysis

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

Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System

O. Valenzuela, L. Herrera, F. Rojas, 2022, Journal of personalized medicine.

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

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

Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

Olga Valenzuela, Rodolfo V. García, Belén San Román, 2009, ICANN.

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

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

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..

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

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

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

Ignacio Rojas, Luis Javier Herrera, Juan Manuel Gálvez, 2017, BMC Bioinformatics.

Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

Ignacio Rojas, Olga Valenzuela, Juan Manuel Galvez, 2019, PloS one.

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

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

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

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

Main findings and advances in bioinformatics and biomedical engineering- IWBBIO 2018

Olga Valenzuela, Ignacio Rojas, Fernando Rojas, 2020, BMC Bioinformatics.

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..

Multidimensional and multideme genetic algorithms for the construction of fuzzy systems

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

Hybridization of intelligent techniques and ARIMA models for time series prediction

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

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

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

Soft-computing techniques and ARMA model for time series prediction

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

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.

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.

Computer-Aided Diagnosis of Ataxia SCA-2 Using a Blind Source Separation Algorithm

Carlos G. Puntonet, Rodolfo V. García, Belén San Román, 2010, Cognitive Computation.

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.

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

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

Human activity recognition based on a sensor weighting hierarchical classifier

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

Selection of Wavelet Decomposition Level for Electro-Oculographic Saccadic De-noising

Roberto Rodríguez, Fernando Rojas Ruiz, Luís Velázquez, 2013, IWANN.

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 International Conference on Social Computing.

Multi-objective evolution of fuzzy systems

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

EogStudio - A Software Platform for Processing Electrooculography Recordings

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

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 13th International Conference on Intellient Systems Design and Applications.

International Journal of Approximate Reasoning

J. M. Palomares, Mark J. Wierman, William J. Tastle, 2012, SOCO 2012.

Bioinformatics and Biomedical Engineering

Anna Mantsoki, Anagha Joshi, O. Valenzuela, 2019, Lecture Notes in Computer Science.