Héctor Pomares

According to our database1, Héctor Pomares authored at least 186 papers between 1998 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods.
Sensors, 2019

SPIRA: an automatic system to support lower limb injury assessment.
J. Ambient Intelligence and Humanized Computing, 2019

An Efficient Framework to Detect and Avoid Driver Sleepiness Based on YOLO with Haar Cascades and an Intelligent Agent.
Proceedings of the Advances in Computational Intelligence, 2019

Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows.
Proceedings of the Advances in Computational Intelligence, 2019

2018
Smart Sensing Technologies for Personalised e-Coaching.
Sensors, 2018

Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Prediction of energy consumption in a NSGA-II-based evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
MIMU-Wear: Ontology-based sensor selection for real-world wearable activity recognition.
Neurocomputing, 2017

Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Ontological modeling of motivational messages for physical activity coaching.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017

Automatic 2D Motion Capture System for Joint Angle Measurement.
Proceedings of the Advances in Computational Intelligence, 2017

The non-singleton fuzzification operation for general forms of interval type-2 fuzzy logic systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Join and Meet Operations for Type-2 Fuzzy Sets With Nonconvex Secondary Memberships.
IEEE Trans. Fuzzy Systems, 2016

Ontology-Based High-Level Context Inference for Human Behavior Identification.
Sensors, 2016

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis.
Int. J. Intell. Syst., 2016

Towards a Framework for Singleton General Forms of Interval Type-2 Fuzzy Systems.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing Based on Depth Video.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Towards general forms of interval type-2 fuzzy logic systems.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Analysis of the Innovation Outputs in mHealth for Patient Monitoring.
Proceedings of the 15th International Conference on Ubiquitous Computing and 8th Communications and International Symposium on Cyberspace Safety and Security, 2016

First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients.
Proceedings of the 15th International Conference on Ubiquitous Computing and 8th Communications and International Symposium on Cyberspace Safety and Security, 2016

2015
mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment.
Sensors, 2015

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition.
Neural Processing Letters, 2015

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.
Neurocomputing, 2015

An Ontology for Dynamic Sensor Selection in Wearable Activity Recognition.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Ontological Sensor Selection for Wearable Activity Recognition.
Proceedings of the Advances in Computational Intelligence, 2015

Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection.
Proceedings of the Advances in Computational Intelligence, 2015

Multiwindow Fusion for Wearable Activity Recognition.
Proceedings of the Advances in Computational Intelligence, 2015

High-Level Context Inference for Human Behavior Identification.
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015

On the Development of a Real-Time Multi-sensor Activity Recognition System.
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015

Facilitating trunk endurance assessment by means of mobile health technologies.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition.
Sensors, 2014

Window Size Impact in Human Activity Recognition.
Sensors, 2014

A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance.
Int. J. Comput. Intell. Syst., 2014

Fast Feature Selection in a GPU Cluster Using the Delta Test.
Entropy, 2014

Evaluating the effects of signal segmentation on activity recognition.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Multiobjective Optimization and Comparison of Nonsingleton Type-1 and Singleton Interval Type-2 Fuzzy Logic Systems.
IEEE Trans. Fuzzy Systems, 2013

The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming.
IEEE Trans. Education, 2013

Human activity recognition based on a sensor weighting hierarchical classifier.
Soft Comput., 2013

New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model.
Inf. Sci., 2013

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.
Neurocomputing, 2013

Simulation of a New Self-Structured Fuzzy Controller Applied to a Temperature Control Process.
IJAEC, 2013

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.
Bioinformatics, 2013

Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller.
Adv. Fuzzy Systems, 2013

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Classification of MRI Images for Alzheimer's Disease Detection.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Using intelligent system for medical decision-making to magnetic resonance imaging.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

PhysioDroid: an app for physiological data monitoring.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features.
Proceedings of the Advances in Computational Intelligence, 2013

Activity Recognition Based on a Multi-sensor Meta-classifier.
Proceedings of the Advances in Computational Intelligence, 2013

Handling Displacement Effects in On-Body Sensor-Based Activity Recognition.
Proceedings of the Ambient Assisted Living and Active Aging, 2013

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Color Fuzzy Set Design for dental applications.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition.
Sensors, 2012

A deterministic model selection scheme for incremental RBFNN construction in time series forecasting.
Neural Computing and Applications, 2012

An enhanced clustering function approximation technique for a radial basis function neural network.
Mathematical and Computer Modelling, 2012

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology.
J. Applied Mathematics, 2012

Daily living activity recognition based on statistical feature quality group selection.
Expert Syst. Appl., 2012

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.
Comp. in Bio. and Med., 2012

Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities.
Proceedings of the 16th International Symposium on Wearable Computers, 2012

A benchmark dataset to evaluate sensor displacement in activity recognition.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Self-evolving parameter-free Rule-based Controller.
Proceedings of the FUZZ-IEEE 2012, 2012

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A New Methodology for the Online Adaptation of Fuzzy Self-Structuring Controllers.
IEEE Trans. Fuzzy Systems, 2011

Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection.
Neurocomputing, 2011

Global and local modelling in RBF networks.
Neurocomputing, 2011

Generating Balanced Learning and Test Sets for Function Approximation Problems.
Int. J. Neural Syst., 2011

The TaSe-NF model for function approximation problems: Approaching local and global modelling.
Fuzzy Sets and Systems, 2011

On comparing non-singleton type-1 and singleton type-2 fuzzy controllers for a nonlinear servo system.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Variable Selection in a GPU Cluster Using Delta Test.
Proceedings of the Advances in Computational Intelligence, 2011

Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network.
Proceedings of the Advances in Computational Intelligence, 2011

Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier.
Proceedings of the Advances in Computational Intelligence, 2011

Recognition of human physical activity based on a novel hierarchical weighted classification scheme.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Methotology for Adaptive Fuzzy Controller. Comparison Performance against Several Control Algorithms in a Real Time Control Process.
Proceedings of the ECTA and FCTA 2011, 2011

2010
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks.
Neural Computing and Applications, 2010

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling.
Neurocomputing, 2010

New method for instance or prototype selection using mutual information in time series prediction.
Neurocomputing, 2010

Local-global neuro-fuzzy system for color change modelling.
Int. J. Hybrid Intell. Syst., 2010

Online self-evolving fuzzy controller with global learning capabilities.
Evolving Systems, 2010

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem.
Expert Syst. Appl., 2010

Predicting marital dissolutions using radial basis function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips.
Proceedings of the International Joint Conference on Neural Networks, 2010

Ambient living activity recognition based on feature-set ranking using intelligent systems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision Trees.
Proceedings of the Trends in Applied Intelligent Systems, 2010

An Algorithm for Online Self-organization of Fuzzy Controllers.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Online self-organizing adaptive fuzzy controller: Application to a nonlinear servo system.
Proceedings of the FUZZ-IEEE 2010, 2010

Preselection of Neurostimulation Waveforms for Visual Prostheses using Genetic Algorithms.
Proceedings of the BIODEVICES 2010, 2010

2009
Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces.
Neurocomputing, 2009

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems.
Neurocomputing, 2009

Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering.
Int. Arab J. Inf. Technol., 2009

Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification.
Applied Artificial Intelligence, 2009

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Applications in Bio-informatics and Biomedical Engineering.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Creation of Specific-to-Problem Kernel Functions for Function Approximation.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Multiple AM Modulated Visual Stimuli in Brain-Computer Interface.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Global and Local Modelling in Radial Basis Functions Networks.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

On Selecting the Best Pre-processing Method for Affymetrix Genechips.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

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.
Proceedings of the 2009 International Conference on High Performance Computing & Simulation, 2009

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.
Proceedings of the Artificial Neural Networks, 2009

Strengthening the Forward Variable Selection Stopping Criterion.
Proceedings of the Artificial Neural Networks, 2009

Applying Mutual Information for Prototype or Instance Selection in Regression Problems.
Proceedings of the ESANN 2009, 2009

2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Computing and Applications, 2008

Soft-computing techniques and ARMA model for time series prediction.
Neurocomputing, 2008

Hybridization of intelligent techniques and ARIMA models for time series prediction.
Fuzzy Sets and Systems, 2008

Signal Processing and Perceptrons in an Auditory Based Brain-Computer Interface.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Output value-based initialization for radial basis function neural networks.
Neural Processing Letters, 2007

Recursive prediction for long term time series forecasting using advanced models.
Neurocomputing, 2007

Multigrid-based fuzzy systems for time series prediction: CATS competition.
Neurocomputing, 2007

Using fuzzy logic to improve a clustering technique for function approximation.
Neurocomputing, 2007

Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms.
Int. J. Approx. Reasoning, 2007

Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

A First Approach to Birth Weight Prediction Using RBFNNs.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Kernel Methods Applied to Time Series Forecasting.
Proceedings of the Computational and Ambient Intelligence, 2007

Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces.
Proceedings of the Computational and Ambient Intelligence, 2007

Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments.
Proceedings of the Computational and Ambient Intelligence, 2007

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.
Proceedings of the Computational and Ambient Intelligence, 2007

Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

On Incorporating Seasonal Information on Recursive Time Series Predictors.
Proceedings of the Artificial Neural Networks, 2007

A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Multi-objective evolution of fuzzy systems.
Soft Comput., 2006

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time.
Fuzzy Sets and Systems, 2006

A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Effective Input Variable Selection for Function Approximation.
Proceedings of the Artificial Neural Networks, 2006

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy.
Fuzzy Sets and Systems, 2005

Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
Proceedings of the Rough Sets, 2005

A Possibilistic Approach to RBFN Centers Initialization.
Proceedings of the Rough Sets, 2005

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.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

TaSe Model for Long Term Time Series Forecasting.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Input Variable Selection in Hierarchical RBF Networks.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Online global learning in direct fuzzy controllers.
IEEE Trans. Fuzzy Systems, 2004

The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

MultiGrid-Based Fuzzy Systems for Function Approximation.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Fine control of monotonic systems using a global self-learning adaptive fuzzy controller.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Soft-computing techniques for time series forecasting.
Proceedings of the ESANN 2004, 2004

MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
Proceedings of the ESANN 2004, 2004

2003
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation.
IEEE Trans. Neural Networks, 2003

Studying the Convergence of the CFA Algorithm.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002
Statistical analysis of the main parameters involved in the design of a genetic algorithm.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2002

Web newspaper layout optimization using simulated annealing.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Structure identification in complete rule-based fuzzy systems.
IEEE Trans. Fuzzy Systems, 2002

Time series analysis using normalized PG-RBF network with regression weights.
Neurocomputing, 2002

A two-stage approach to self-learning direct fuzzy controllers.
Int. J. Approx. Reasoning, 2002

Evolutive Identification of Fuzzy Systems for Time-Series Prediction.
Proceedings of the Parallel Problem Solving from Nature, 2002

Evolutionary Training of Neuro-fuzzy Patches for Function Approximation.
Proceedings of the Artificial Neural Networks, 2002

Neural Networks, Clustering Techniques, and Function Approximation Problems.
Proceedings of the Artificial Neural Networks, 2002

New Methodology for Structure Identification of Fuzzy Controllers in Real Time.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Multidimensional and multideme genetic algorithms for the construction of fuzzy systems.
Int. J. Approx. Reasoning, 2001

Parallel dynamic water supply scheduling in a cluster of computers.
Concurrency and Computation: Practice and Experience, 2001

Optimization of web newspaper layout in real time.
Computer Networks, 2001

A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time.
Proceedings of the Connectionist Models of Neurons, 2001

Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001

RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting.
Proceedings of the Connectionist Models of Neurons, 2001

Multideme Evolution algorithm Based Approach to the Generation of Fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A New Sequential Learning Algorithm Using Pseudo-gaussian Functions for Neuro-fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A Method for Structure Identification in Complete Rule-based Fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

An Enhanced Self-organizing Controller for Real-time Process-control Applications.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
A systematic approach to a self-generating fuzzy rule-table for function approximation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2000

Self-organized fuzzy system generation from training examples.
IEEE Trans. Fuzzy Systems, 2000

Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks.
Neural Processing Letters, 2000

A New Radial Basis Function Networks Structure: Application to Time Series Prediction.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
New methodology for the development of adaptive and self-learning fuzzy controllers in real time.
Int. J. Approx. Reasoning, 1999

Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998
What are the main factors involved in the design of a Radial Basis Function Network?
Proceedings of the ESANN 1998, 1998


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