Héctor Pomares

发表

A new sequential learning algorithm using pseudo-Gaussian functions for neuro-fuzzy systems

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

Classification of MRI Images for Alzheimer's Disease Detection

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

RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting

Héctor Pomares, Ignacio Rojas, Jesús González, 2001, IWANN.

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..

Reducing the Electrical Consumption in the Humidity Control Process for Electric Cells using an Intelligent Fuzzy Logic Controller

Héctor Pomares, Ignacio Rojas, Rafik Lasri, 2016 .

Parallel dynamic water supply scheduling in a cluster of computers

Héctor Pomares, Julio Ortega Lopera, Miguel Damas, 2001, Concurr. Comput. Pract. Exp..

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).

Multiwindow Fusion for Wearable Activity Recognition

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

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

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

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..

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

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

A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Global and local modelling in RBF networks

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

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

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, 2009 International Conference on High Performance Computing & Simulation.

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

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

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

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

Reliable and Energy Optimized Routing Algorithm for WSNs

Héctor Pomares, Ignacio Rojas, Alberto Olivares, 2010 .

Self-evolving parameter-free Rule-based Controller

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

A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design

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

Signal Processing and Perceptrons in an Auditory Based Brain-Computer Interface

Héctor Pomares, Alberto Prieto, Francisco J. Pelayo, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Hybridization of intelligent techniques and ARIMA models for time series prediction

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

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

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

Multi-objective evolution of fuzzy systems

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

High-Level Context Inference for Human Behavior Identification

Héctor Pomares, Ignacio Rojas, Sungyoung Lee, 2015, IWAAL.

Analysis of the Innovation Outputs in mHealth for Patient Monitoring

Héctor Pomares, Oresti Baños, Claudia Villalonga, 2016, 2016 15th International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS).

Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction

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

Neural Networks, Clustering Techniques, and Function Approximation Problems

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

Effective Input Variable Selection for Function Approximation

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

A First Approach to Birth Weight Prediction Using RBFNNs

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

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.

The non-singleton fuzzification operation for general forms of interval type-2 fuzzy logic systems

Héctor Pomares, Ignacio Rojas, Hani Hagras, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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).

PhysioDroid: an app for physiological data monitoring

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

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

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

Applications in Bio-informatics and Biomedical Engineering

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2009, IWANN.

Activity Recognition Based on a Multi-sensor Meta-classifier

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

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..

Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning

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

Multi-deme evolutionary algorithm based approach to the generation of fuzzy systems

Héctor Pomares, Peter Glösekötter, J. Diestuhl, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

An Efficient Framework to Detect and Avoid Driver Sleepiness Based on YOLO with Haar Cascades and an Intelligent Agent

Héctor Pomares, Zoulikha Mekkakia, Belmekki Ghizlene, 2019, IWANN.

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

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

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

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

Ambient living activity recognition based on feature-set ranking using intelligent systems

Héctor Pomares, Ignacio Rojas, Oresti Baños, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities

Héctor Pomares, Ignacio Rojas, Ricardo Chavarriaga, 2012, 2012 16th International Symposium on Wearable Computers.

Predicting time series with advanced hybrid systems

Héctor Pomares, Ignacio Rojas, Jesús González, 2005 .

Toward a Fuzzy Logic System Based on General Forms of Interval Type-2 Fuzzy Sets

Héctor Pomares, Hani Hagras, Gonzalo Ruiz-García, 2019, IEEE Transactions on Fuzzy Systems.

GPU Cluster with MATLAB

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

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.

Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications

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

Parallel hybrid method applied to water distribution networks scheduling

Héctor Pomares, Julio Ortega, Miguel Damas, 2010 .

MIMU-Wear: Ontology-based sensor selection for real-world wearable activity recognition

Héctor Pomares, Ignacio Rojas, Oresti Baños, 2017, Neurocomputing.

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.

Facilitating trunk endurance assessment by means of mobile health technologies

Héctor Pomares, Ignacio Rojas, Choong Seon Hong, 2015, UbiComp/ISWC Adjunct.

Self-evolving parameter-free Rule-based Controller:SPARC

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2012 .

Evolutive Identification of Fuzzy Systems for Time-Series Prediction

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

Fine tuning of fuzzy controllers using a two-stage algorithm

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

Studying the Convergence of the CFA Algorithm

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

Prediction of energy consumption in a NSGA-II-based evolutionary algorithm

Héctor Pomares, Antonio F. Díaz, Jesús González, 2018, GECCO.

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

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

Multidimensional and multideme genetic algorithms for the construction of fuzzy systems

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

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection

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

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.

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.

An enhanced self-organizing controller for real-time process-control applications

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

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.

The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming

Héctor Pomares, Miguel Damas, Pablo García-Sánchez, 2013, IEEE Transactions on Education.

Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm.

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2001 .

Applying Mutual Information for Prototype or Instance Selection in Regression Problems

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

Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces

Héctor Pomares, Alberto Prieto, Miguel Damas, 2007, IWINAC.

On the Development of a Real-Time Multi-sensor Activity Recognition System

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

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.

New Methodology for Structure Identification of Fuzzy Controllers in Real Time

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

Predicting marital dissolutions using radial basis function neural networks

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

What are the main factors involved in the design of a Radial Basis Function Network?

Héctor Pomares, Ignacio Rojas, Mancia Anguita, 1998, ESANN.

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..

Simulation of a New Self-Structured Fuzzy Controller Applied to a Temperature Control Process

Héctor Pomares, Ignacio Rojas, Rafik Lasri, 2013, Int. J. Appl. Evol. Comput..

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.

Determining Marital Dissolutions Duration with Fuzzy Inference Systems

Héctor Pomares, Ignacio Rojas, Carlos Tovar, 2014 .

Recognition of human physical activity based on a novel hierarchical weighted classification scheme

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2011, The 2011 International Joint Conference on Neural Networks.

SPIRA: an automatic system to support lower limb injury assessment

Héctor Pomares, Miguel Damas, Oresti Baños, 2019, J. Ambient Intell. Humaniz. Comput..

On Selecting the Best Pre-processing Method for Affymetrix Genechips

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

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data

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

A new radial basis function networks structure: application to time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

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.

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

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

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.

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

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

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

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

A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation

Ginés Rubio, Héctor Pomares, 2005, IWANN.

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..

INTELLIGENT SYSTEM BASED ON GENETIC PROGRAMMING FOR ATRIAL FIBRILLATION CLASSIFICATION

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2009, Appl. Artif. Intell..

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

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

Industrial Automation Programming Environment with a New Translation Algorithm among IEC 61131-3 Languages Based on the TC6-XML Scheme

Héctor Pomares, Francisco M. Ortuño, J. Asensio, 2013 .

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.

An Ontology for Dynamic Sensor Selection in Wearable Activity Recognition

Héctor Pomares, Ignacio Rojas, Oresti Baños, 2015, IWBBIO.

Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition

Héctor Pomares, Ignacio Rojas, Oresti Baños, 2010, IEA/AIE.

Variable Selection in a GPU Cluster Using Delta Test

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2011, IWANN.

Generating Balanced Learning and Test Sets for Function Approximation Problems

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

Ontology-Based High-Level Context Inference for Human Behavior Identification

Héctor Pomares, Ignacio Rojas, Sungyoung Lee, 2016, Sensors.

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.

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

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

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).

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..

Strengthening the Forward Variable Selection Stopping Criterion

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

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

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

A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time

Héctor Pomares, Ignacio Rojas, Jesús González, 2001, IWANN.

Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization

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

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

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

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.

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.

Ontological modeling of motivational messages for physical activity coaching

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

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

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

Using fuzzy logic to improve a clustering technique for function approximation

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

On Incorporating Seasonal Information on Recursive Time Series Predictors

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

Online self-evolving fuzzy controller with global learning capabilities

Héctor Pomares, Ignacio Rojas, Robert Babuska, 2010, Evol. Syst..

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.

A Possibilistic Approach to RBFN Centers Initialization

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

Soft-computing techniques for time series forecasting

Héctor Pomares, Ignacio Rojas, 2004, ESANN.

Kernel Methods Applied to Time Series Forecasting

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

Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks

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

Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 1999, IWANN.

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

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

Daily living activity recognition based on statistical feature quality group selection

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

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

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

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

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

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.

New methodology for the development of adaptive and self-learning fuzzy controllers in real time

Héctor Pomares, Ignacio Rojas, Mancia Anguita, 1999, Int. J. Approx. Reason..

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.

Virtual laboratory for the supervision and control of scale mod- els of industrial processes

Héctor Pomares, J. A. Tarifa, Manuela Damas, 2006 .

An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, Neurocomputing.

Time Series Analysis and Forecasting : Selected Contributions from ITISE 2017

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2018 .

Smart Sensing Technologies for Personalised e-Coaching

Héctor Pomares, Hermie Hermens, Oresti Baños, 2018, Sensors.

Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier

Héctor Pomares, Ignacio Rojas, Miguel Damas, 2011, IWANN.

Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces

Héctor Pomares, Alberto Prieto, Francisco J. Pelayo, 2007, IWANN.

Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition

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

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.

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

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

Color Fuzzy Set Design for dental applications

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 13th International Conference on Intellient Systems Design and Applications.

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

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

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

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

Ontological Sensor Selection for Wearable Activity Recognition

Héctor Pomares, Ignacio Rojas, Oresti Baños, 2015, IWANN.

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

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

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

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

A benchmark dataset to evaluate sensor displacement in activity recognition

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

Fine control of monotonic systems using a global self-learning adaptive fuzzy controller

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

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.

Web newspaper layout optimization using simulated annealing

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

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology

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

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.

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

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

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).

Fast Feature Selection in a GPU Cluster Using the Delta Test

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2014, Entropy.

Local-global neuro-fuzzy system for color change modelling

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2010, Int. J. Hybrid Intell. Syst..

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.

Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2019, IWANN.

New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems

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

Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments

Héctor Pomares, Antonio Díaz Estrella, Alberto Prieto, 2007, IWANN.

Fuzzy Logic Controllers Improves Human Daily Life. The StateOfThe Art 'Best Accuracy and More Flexibility'

Héctor Pomares, Ignacio Rojas, Rafik Lasri, 2011 .

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..

TaSe Model for Long Term Time Series Forecasting

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

Window Size Impact in Human Activity Recognition

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

Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology

Héctor Pomares, Miguel Damas, Oresti Baños, 2018, UCAmI.

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

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

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

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

Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Evolutionary Training of Neuro-fuzzy Patches for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2002, ICANN.

Evaluating the effects of signal segmentation on activity recognition

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2014, IWBBIO.

First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients

Héctor Pomares, Miguel Damas, Oresti Baños, 2016, 2016 15th International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS).

Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision Trees

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2010, IEA/AIE.

Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces

Héctor Pomares, Francisco J. Pelayo, José M. Urquiza, 2009, Neurocomputing.

Multiple AM Modulated Visual Stimuli in Brain-Computer Interface

Héctor Pomares, Alberto Prieto, Francisco J. Pelayo, 2009, IWANN.

On comparing non-singleton type-1 and singleton type-2 fuzzy controllers for a nonlinear servo system

Héctor Pomares, Ignacio Rojas, Hani Hagras, 2011, 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ).

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.

Preselection of Neurostimulation Waveforms for Visual Prostheses using Genetic Algorithms

Héctor Pomares, Alberto Guillén, Francisco J. Pelayo, 2010, BIODEVICES.

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.

Human activity recognition based on a sensor weighting hierarchical classifier

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

Online global learning in direct fuzzy controllers

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2004, 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).

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

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

Self-organized fuzzy system generation from training examples

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

First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing Based on Depth Video

Héctor Pomares, Miguel Damas, Oresti Baños, 2016, UCAmI.

Optimization of web newspaper layout in real time

Héctor Pomares, Ignacio Rojas, Juan Julián Merelo Guervós, 2001, Comput. Networks.

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.

An Algorithm for Online Self-organization of Fuzzy Controllers

Héctor Pomares, Ignacio Rojas, Ana Belén Cara, 2010, IEA/AIE.

Global and Local Modelling in Radial Basis Functions Networks

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

Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks

Héctor Pomares, Ignacio Rojas, Jesús González, 2001, IWANN.

Automatic 2D Motion Capture System for Joint Angle Measurement

Héctor Pomares, Miguel Damas, Oresti Baños, 2017, IWANN.

Input Variable Selection in Hierarchical RBF Networks

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

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

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

Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

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

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

Analysis and electronic implementation of a fuzzy system for the control of a liquid tank

Héctor Pomares, Ignacio Rojas, Mancia Anguita, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Structure identification in complete rule-based fuzzy systems

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

Deep Learning Based Neural Network for Six-Class-Classification of Alzheimer's Disease Stages Based on MRI Images

Héctor Pomares, Ignacio Rojas, Peter Glösekötter, 2021, IWANN.

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

Héctor Pomares, Ignacio Rojas, Jesús González, 2003 .

Time Series Analysis and Forecasting

Héctor Pomares, Ignacio Rojas, 2016 .

RBF CENTERS INITIALIZATION USING FUZZY CLUSTERING TECHNIQUE FOR FUNCTION APPROXIMATION PROBLEMS

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005 .