I. Rojas

发表

A New Methodology for the Online Adaptation of Fuzzy Self-Structuring Controllers

Héctor Pomares, Ignacio Rojas, Ana Belén Cara, 2011, IEEE Transactions on Fuzzy Systems.

Online global learning in direct fuzzy controllers

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2004, IEEE Transactions on Fuzzy Systems.

A systematic approach to a self-generating fuzzy rule-table for function approximation

Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, 2000, IEEE Trans. Syst. Man Cybern. Part B.

A new approach to fuzzy controller designing and coding via genetic algorithms

J. Merelo, I. Rojas, J. Bernier, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Anewhybridmethodologyforcooperative-coevolutionaryoptimization of radial basis function networks

A. J. Rivera, J. Ortega, M. J. D. Jesús, 2007 .

Automatic Construction of Fuzzy Rule-Based Systems: A trade-off between complexity and accuracy maintaining interpretability

Héctor Pomares, Ignacio Rojas, Jesús González, 2003 .

A new methodology to obtain fuzzy systems autonomously from training data

I. Rojas, H. Pomares, F.J. Fernandez, 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

A heuristic method for parameter selection in LS-SVM: Application to time series prediction

H. Pomares, I. Rojas, G. Rubio, 2011 .

New Methodologies Based on Delta Test for Variable Selection in Regression Problems

A. Lendasse, I. Rojas, Fernando Mateo, 2008 .

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

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

Comparing Mutual Information and Delta Test for Variable Selection to Determine Client Confidence in e-Bank

H. Pomares, I. Rojas, L. Herrera, 2016 .

Parallel combinatorial optimization with evolutionary cooperation between processors

Ignacio Rojas, Antonio F. Díaz, José Luis Bernier, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Obtaining Fault Tolerant Multilayer Perceptrons Using an Explicit Regularization

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 2000, Neural Processing Letters.

Feature Selection Using Mutual Information and Neural Networks §1. Introduction

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

A COMPUTER AIDED DIGONSIS SYSTEMS : USING GENETIC ALGORITHM WITH CLASSIFIER OF THE K-NEAREST NEIGHBOURS

Suhail M. Odeh, E. Ros, I. Rojas, 2008 .

Genetic Algorithms for Optimum Designing of Fuzzy Controllers

J. Merelo, H. Pomares, I. Rojas, 2007 .

Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network

Héctor Pomares, Ignacio Rojas, José M. Urquiza, 2011, IWANN.

Multigrid-based fuzzy systems for time series prediction: CATS competition

Jesús González, H. Pomares, I. Rojas, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Enhanced Clustering Technique in RBF Neural Network for Function Approximation

H. Pomares, I. Rojas, M. Awad, 2022 .

2009 International Conference on High Performance Computing & Simulation, HPCS 2009, Leipzig, Germany, June 21-24, 2009

Ignacio Rojas, Ben Paechter, Rajkumar Buyya, 2009, HPCS.

Hierarchical Structure for function approximation using radial basis function

H. Pomares, I. Rojas, O. Valenzuela, 2005 .

Implementation of adaptable and hierarchical fuzzy T-norm

F. Pelayo, A. Prieto, I. Rojas, 1999 .

Improving Performance of Multi-objective Genetic for Function Approximation through island specialisation

B. Paechter, H. Pomares, I. Rojas, 2006 .

Neural networks: An overview of early research, current frameworks and new challenges

Ignacio Rojas, Alberto Prieto, Eduardo Ros, 2016, Neurocomputing.

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-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment

Ignacio Rojas, Xiaoyi Jiang, Olga Valenzuela, 2018, Int. J. Neural Syst..

Input Variable Selection in Hierarchical RBF Networks

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2005, IWANN.

Parametric and Non-parametric Feature Selection for Kidney Transplants

Ignacio Rojas, Antonio Cañas, Luis Javier Herrera, 2013, IWANN.

Recursive prediction for long term time series forecasting using advanced models

I. Rojas, H. Pomares, A. Prieto, 2007, Neurocomputing.

On Incorporating Seasonal Information on Recursive Time Series Predictors

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2007, ICANN.

Kernel Methods Applied to Time Series Forecasting

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2007, IWANN.

Effective Input Variable Selection for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, ICANN.

Multigrid-based fuzzy systems for time series prediction: CATS competition

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Join and Meet Operations for Type-2 Fuzzy Sets With Nonconvex Secondary Memberships

Héctor Pomares, Ignacio Rojas, Hani Hagras, 2016, IEEE Transactions on Fuzzy Systems.

Towards general forms of interval type-2 fuzzy logic systems

Héctor Pomares, Ignacio Rojas, Hani Hagras, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

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

A Possibilistic Approach to RBFN Centers Initialization

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, RSFDGrC.

Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2005, IWINAC.

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2015, Neurocomputing.

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..

Prediction of color change after tooth bleaching using fuzzy logic for Vita Classical shades identification.

Ignacio Rojas, Alberto Guillén, Janiley Santana, 2010, Applied optics.

EVALUATING FLUORESCENCE ILLUMINATION TECHNIQUES FOR SKIN LESION DIAGNOSIS

Ignacio Rojas, Francisco de Toro, Suhail M. Odeh, 2012, Appl. Artif. Intell..

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2012, Comput. Biol. Medicine.

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, 2009 24th International Symposium on Computer and Information Sciences.

Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection

Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, 2009, Neurocomputing.

An enhanced clustering function approximation technique for a radial basis function neural network

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2012, Math. Comput. Model..

A New Clustering Technique for Function Approximation

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 2005 .

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

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

Statistical analysis of the main parameters in the fuzzy inference process

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 1999, Fuzzy Sets Syst..

Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips

Héctor Pomares, Ignacio Rojas, M. Gonzalo Claros, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Daily living activity recognition based on statistical feature quality group selection

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2012, Expert Syst. Appl..

Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2005, Fuzzy Sets Syst..

New method for instance or prototype selection using mutual information in time series prediction

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neurocomputing.

Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2000, Neural Processing Letters.

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

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

Statistical analysis of the parameters of a neuro-genetic algorithm

Ignacio Rojas, Juan Julián Merelo Guervós, Alberto Prieto, 2002, IEEE Trans. Neural Networks.

Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process

Ignacio Rojas, Mancia Anguita, Alberto Prieto, 1998, Int. J. Approx. Reason..

Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks

Ignacio Rojas, Alberto Prieto, Olga Valenzuela, 1997, IWANN.

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

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

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Expert Syst. Appl..

Towards a Framework for Singleton General Forms of Interval Type-2 Fuzzy Systems

Héctor Pomares, Ignacio Rojas, Hani Hagras, 2016, WILF.

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..

Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning

Ignacio Rojas, Miguel Damas, Daniel Roggen, 2021, Neural Processing Letters.

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features

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

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features

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

Hybridization of intelligent techniques and ARIMA models for time series prediction

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

Self-evolving parameter-free Rule-based Controller

Héctor Pomares, Ignacio Rojas, Plamen P. Angelov, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Online self-organizing adaptive fuzzy controller: Application to a nonlinear servo system

Héctor Pomares, Ignacio Rojas, Robert Babuska, 2010, International Conference on Fuzzy Systems.

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, 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..

Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2012, Parallel Architectures and Bioinspired Algorithms.

Evolving two-dimensional fuzzy systems

Ignacio Rojas, Juan Julián Merelo Guervós, Pedro Ángel Castillo Valdivieso, 2003, Fuzzy Sets Syst..

Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 2000, Neurocomputing.

Area efficient implementations of fixed-template CNN's

Ignacio Rojas, Mancia Anguita, Alberto Prieto, 1998 .

Multiobjective Optimization and Comparison of Nonsingleton Type-1 and Singleton Interval Type-2 Fuzzy Logic Systems

Héctor Pomares, Ignacio Rojas, Hani Hagras, 2013, IEEE Transactions on Fuzzy Systems.

Creation of Specific-to-Problem Kernel Functions for Function Approximation

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, IWANN.

Generating Balanced Learning and Test Sets for Function Approximation Problems

Héctor Pomares, Ignacio Rojas, J. P. Florido, 2011, Int. J. Neural Syst..

A deterministic model selection scheme for incremental RBFNN construction in time series forecasting

Héctor Pomares, Ignacio Rojas, Miguel Angel Lopez-Gordo, 2010, Neural Computing and Applications.

Soft-computing techniques and ARMA model for time series prediction

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

Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2017, ICIC.

Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2017, IWANN.

Design, implementation and validation of a novel open framework for agile development of mobile health applications

Ignacio Rojas, Sungyong Lee, Miguel Damas, 2015, BioMedical Engineering OnLine.

Window Size Impact in Human Activity Recognition

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2014, Sensors.

Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neural Computing and Applications.

Instance or Prototype Selection for Function Approximation using Mutual Information

I. Rojas, H. Pomares, G. Rubio, 2008 .

A benchmark dataset to evaluate sensor displacement in activity recognition

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2012, UbiComp.

Minimising the delta test for variable selection in regression problems

Ignacio Rojas, Alberto Guillén, Amaury Lendasse, 2008, Int. J. High Perform. Syst. Archit..

From adaptive to evolving fuzzy control policy: Critical processing steps and configuration

Ignacio Rojas, Rafik Lasri, Hector Pomares, 2015, 2015 Third World Conference on Complex Systems (WCCS).

A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2014, Int. J. Comput. Intell. Syst..

Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, Adv. Fuzzy Syst..

A new adaptive fuzzy control policy against conventional methods. Statistical analysis of real time control performance

I. Rojas, H. Pomares, R. Lasri, 2012, 2012 IEEE International Conference on Complex Systems (ICCS).

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.

Global and local modelling in RBF networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2011, Neurocomputing.

CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm

Ignacio Rojas, Antonio J. Rivera, María José del Jesús, 2007, IWANN.

A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks

Ignacio Rojas, Antonio J. Rivera, Julio Ortega Lopera, 2007, Soft Comput..

Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs

Ignacio Rojas, Antonio J. Rivera, Julio Ortega, 2005, IWANN.

Structure identification in complete rule-based fuzzy systems

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2002, IEEE Trans. Fuzzy Syst..

A method for structure identification in complete rule-based fuzzy systems

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Statistical analysis of different artificial intelligent techniques applied to Intrusion Detection System

H. Pomares, H. Tribak, B. L. Delgado-Marquez, 2012, 2012 International Conference on Multimedia Computing and Systems.

Multiwindow Fusion for Wearable Activity Recognition

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2015, IWANN.

Statistical analysis of the main parameters involved in the design of a genetic algorithm

Héctor Pomares, Ignacio Rojas, Juan Julián Merelo Guervós, 2002, IEEE Trans. Syst. Man Cybern. Part C.

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, IWANN.

New Methodology for Structure Identification of Fuzzy Controllers in Real Time

Héctor Pomares, Ignacio Rojas, Jesús González, 2002, IBERAMIA.

Applying Mutual Information for Prototype or Instance Selection in Regression Problems

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, ESANN.

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment

Héctor Pomares, Ignacio Rojas, Sungyong Lee, 2015, Sensors.

mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2014, IWAAL.

Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2014, Sensors.

SSA, SVD, QR-cp, and RBF Model Reduction

Ignacio Rojas, Alberto Prieto, Julio Ortega, 2002, ICANN.

Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering

Héctor Pomares, Ignacio Rojas, Mohammed Awad, 2009, Int. Arab J. Inf. Technol..

Mobile Health System for Evaluation of Breast Cancer Patients During Treatment and Recovery Phases

Ignacio Rojas, Oresti Baños, José Antonio Moral-Muñoz, 2017, IWBBIO.

Using cited references to improve the retrieval of related biomedical documents

Ignacio Rojas, Miguel A. Andrade-Navarro, Jean-Fred Fontaine, 2013, BMC Bioinformatics.

Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation

Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, 2003, IEEE Trans. Neural Networks.

A New Method for BCI Spelling Using a 7 Segments Display

Ignacio Rojas, Alberto Guillén, Miriam España, 2013, IWANN.

The TaSe-NF model for function approximation problems: Approaching local and global modelling

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2011, Fuzzy Sets Syst..

Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, RSFDGrC.

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, ECSQARU.

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, IWANN.

New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, Inf. Sci..

Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons

Ignacio Rojas, Antonio J. Rivera, María José del Jesús, 2003, IWANN.

Ensemble Models for Covid Prediction in X-Ray Images

Ignacio Rojas, Francisco Carrillo-Perez, Luis Javier Herrera, 2021, IWANN.

PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring

Ignacio Rojas, Miguel Damas, Claudia Villalonga, 2014, TheScientificWorldJournal.

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Advances in computational intelligence

Ignacio Rojas, Joan Cabestany, Gonzalo Joya, 2013, Lecture Notes in Computer Science.

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2012, J. Appl. Math..

An Accurate Measure for Multilayer Perceptron Tolerance to Weight Deviations

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 1999, Neural Processing Letters.

Time series analysis using normalized PG-RBF network with regression weights

Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, 2002, Neurocomputing.

Handling Displacement Effects in On-Body Sensor-Based Activity Recognition

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2013, IWAAL.

Activity Recognition Based on a Multi-sensor Meta-classifier

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2013, IWANN.

Web newspaper layout optimization using simulated annealing

Héctor Pomares, Ignacio Rojas, Juan Julián Merelo Guervós, 2002, IEEE Trans. Syst. Man Cybern. Part B.

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2011, PACBB.

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition

O. Baños, H. Pomares, I. Rojas, 2015, Neural Processing Letters.

On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2012, Sensors.

Advances in Computational Intelligence

Gonzalo Joya, Gonzalo Joya Caparrós, Ignacio Rojas, 2019, Lecture Notes in Computer Science.

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neurocomputing.

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2012, 2012 IEEE Congress on Evolutionary Computation.

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data

Héctor Pomares, Ignacio Rojas, José M. Urquiza, 2011, PACBB.

On Selecting the Best Pre-processing Method for Affymetrix Genechips

Héctor Pomares, Ignacio Rojas, M. Gonzalo Claros, 2009, IWANN.

Using fuzzy logic to improve a clustering technique for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neurocomputing.

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, IWANN.

Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2015, IWANN.

Classification of MRI Images for Alzheimer's Disease Detection

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 International Conference on Social Computing.

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2009, Neurocomputing.

A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, 2007 IEEE International Fuzzy Systems Conference.

Advanced system for automously classify brain MRI in neurodegenerative disease

Ignacio Rojas, Olga Valenzuela, Belén San Román, 2012, 2012 International Conference on Multimedia Computing and Systems.

Ontological modeling of motivational messages for physical activity coaching

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2017, PervasiveHealth.

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.

Applying support vector machines and mutual information to book losses prediction

Ignacio Rojas, Juan Julián Merelo Guervós, Luis Javier Herrera, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

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

H. Pomares, I. Rojas, G. Rubio, 2005, IWINAC.

Long- and Short-Term Approaches for Power Consumption Prediction Using Neural Networks

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2020 .

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, Australian Conference on Artificial Intelligence.

Multi-objective evolution of fuzzy systems

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

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, ICANN.

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2016, Int. J. Intell. Syst..

Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks

Héctor Pomares, Ignacio Rojas, Jesús González, 2003, IWANN.

Evolutive Identification of Fuzzy Systems for Time-Series Prediction

Héctor Pomares, Ignacio Rojas, Jesús González, 2002, PPSN.

Applying Multi-objective Optimization for Variable Selection to Analyze User Trust in Electronic Banking

Ignacio Rojas, Rafael Nogueras, Francisco Muñoz-Leiva, 2012, IS-MiS.

Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2018, UCAmI.

Self-organized fuzzy system generation from training examples

Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, 2000, IEEE Trans. Fuzzy Syst..

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.

MultiGrid-Based Fuzzy Systems for Function Approximation

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

MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality

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

International Journal of Approximate Reasoning

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

Mutual Information-based Feature Selection in Spectrometric Data for Agriculture Applications

H. Pomares, I. Rojas, R. Ghinea, 2015 .

Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging

Ignacio Rojas, Alberto Prieto, Olga Valenzuela, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).