Ignacio Rojas
Orcid: 0000-0002-1033-5635Affiliations:
- University of Granada, Department of Computer Architecture and Computer Technology
According to our database1,
Ignacio Rojas
authored at least 276 papers
between 1997 and 2024.
Collaborative distances:
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Bibliography
2024
Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches.
Comput. Biol. Medicine, January, 2024
Deep Learning-Based Breast Cancer Subtype Classification from Whole-Slide Images: Leveraging the BRACS Dataset.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024
2023
BMC Bioinform., December, 2023
Neural Process. Lett., October, 2023
Multi-classification of Alzheimer's Disease by NSGA-II Slices Optimization and Fusion Deep Learning.
Proceedings of the Artificial Life and Evolutionary Computation, 2023
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Design and Application of Automated Algorithms for Diagnosis and Treatment Optimization in Neurodegenerative Diseases.
Neuroinformatics, 2022
COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
2021
Neural Process. Lett., 2021
Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning.
Neural Process. Lett., 2021
KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge.
Comput. Biol. Medicine, 2021
Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion.
BMC Bioinform., 2021
Proceedings of the Advances in Computational Intelligence, 2021
Deep Learning Based Neural Network for Six-Class-Classification of Alzheimer's Disease Stages Based on MRI Images.
Proceedings of the Advances in Computational Intelligence, 2021
COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
Main findings and advances in bioinformatics and biomedical engineering- IWBBIO 2018.
BMC Bioinform., May, 2020
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.
IEEE J. Biomed. Health Informatics, 2020
Computational Intelligence Methods for Time Series Analysis and Forecasting: Special Issue of IWANN 2017.
Neural Process. Lett., 2020
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
2019
IEEE Trans. Fuzzy Syst., 2019
Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models.
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
Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment.
Int. J. Neural Syst., 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
Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018
Parkinson's Disease Database Analysis of Stereotactic Coordinates Related to Clinical Outcomes.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
2017
Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP).
Sensors, 2017
MIMU-Wear: Ontology-based sensor selection for real-world wearable activity recognition.
Neurocomputing, 2017
Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling.
BMC Bioinform., 2017
Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017
Mobile Health System for Evaluation of Breast Cancer Patients During Treatment and Recovery Phases.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification.
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification.
Proceedings of the Intelligent Computing Theories and Application, 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
IEEE Trans. Fuzzy Syst., 2016
Sensors, 2016
Neural networks: An overview of early research, current frameworks and new challenges.
Neurocomputing, 2016
Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis.
Int. J. Intell. Syst., 2016
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Special issue on advances in computational intelligence and machine learning (IWANN 2013).
Soft Comput., 2015
Sensors, 2015
Advances in Artificial Neural Networks and Computational Intelligence - Special Issue of IWANN 2013.
Neural Process. Lett., 2015
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition.
Neural Process. Lett., 2015
Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.
Neurocomputing, 2015
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015
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
Integrative gene expression analysis of lung cancer based on a technology-merging approach.
Proceedings of the IEEE EUROCON 2015, 2015
2014
Sensors, 2014
A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance.
Int. J. Comput. Intell. Syst., 2014
Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
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 Syst., 2013
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.
Int. J. Appl. Evol. Comput., 2013
BMC Bioinform., 2013
Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.
Bioinform., 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 Syst., 2013
Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. .
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
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
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
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
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
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 Comput. Appl., 2012
An enhanced clustering function approximation technique for a radial basis function neural network.
Math. Comput. Model., 2012
Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology.
J. Appl. Math., 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.
Comput. Biol. Medicine, 2012
Appl. Artif. Intell., 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
Applying Multi-objective Optimization for Variable Selection to Analyze User Trust in Electronic Banking.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012
Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Statistical analysis of different artificial intelligent techniques applied to Intrusion Detection System.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012
A novel policy to reduce the electrical cost of a real time control process using an on-line Adaptive Fuzzy Logic Controller.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
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
Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures.
J. Supercomput., 2011
IEEE Trans. Fuzzy Syst., 2011
Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection.
Neurocomputing, 2011
Int. J. Neural Syst., 2011
The TaSe-NF model for function approximation problems: Approaching local and global modelling.
Fuzzy Sets Syst., 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
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011
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
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 Comput. Appl., 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
Int. J. Hybrid Intell. Syst., 2010
Evol. Syst., 2010
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem.
Expert Syst. Appl., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
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
Proceedings of the Trends in Applied Intelligent Systems, 2010
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
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems.
Neurocomputing, 2009
Int. Arab J. Inf. Technol., 2009
Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification.
Appl. Artif. Intell., 2009
Assessing the Performance of an Offloaded IDS on Network Processors.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009
Proceedings of the 17th Euromicro International Conference on Parallel, 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
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
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
Proceedings of the Artificial Neural Networks, 2009
Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.
Proceedings of the Artificial Neural Networks, 2009
Applying Mutual Information for Prototype or Instance Selection in Regression Problems.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Comput. Appl., 2008
Neurocomputing, 2008
Int. J. High Perform. Syst. Archit., 2008
Fuzzy Sets Syst., 2008
2007
Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section.
IEEE Trans. Fuzzy Syst., 2007
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks.
Soft Comput., 2007
Neural Process. Lett., 2007
Neurocomputing, 2007
Neurocomputing, 2007
Neurocomputing, 2007
Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms.
Int. J. Approx. Reason., 2007
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
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
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
A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007
2006
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time.
Fuzzy Sets Syst., 2006
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
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006
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 Syst., 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
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
Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals.
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
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
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
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
2004
Blind source separation in post-nonlinear mixtures using competitive learning, Simulated annealing, and a genetic algorithm.
IEEE Trans. Syst. Man Cybern. Part C, 2004
The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
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
Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Fine control of monotonic systems using a global self-learning adaptive fuzzy controller.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 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
Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003
An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003
Proceedings of the Current Topics in Artificial Intelligence, 2003
The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction.
Proceedings of the Current Topics in Artificial Intelligence, 2003
2002
Statistical analysis of the main parameters involved in the design of a genetic algorithm.
IEEE Trans. Syst. Man Cybern. Part C, 2002
IEEE Trans. Syst. Man Cybern. Part B, 2002
IEEE Trans. Neural Networks, 2002
IEEE Trans. Neural Networks, 2002
IEEE Trans. Fuzzy Syst., 2002
Neurocomputing, 2002
Int. J. Approx. Reason., 2002
Proceedings of the Parallel Problem Solving from Nature, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs.
Neural Comput., 2001
Multidimensional and multideme genetic algorithms for the construction of fuzzy systems.
Int. J. Approx. Reason., 2001
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules.
Proceedings of the Connectionist Models of Neurons, 2001
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
Proceedings of the Connectionist Models of Neurons, 2001
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
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
2000
A systematic approach to a self-generating fuzzy rule-table for function approximation.
IEEE Trans. Syst. Man Cybern. Part B, 2000
IEEE Trans. Fuzzy Syst., 2000
Neural Process. Lett., 2000
Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks.
Neural Process. Lett., 2000
Neural Process. Lett., 2000
Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations.
Neurocomputing, 2000
Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights.
Int. J. Neural Syst., 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
What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems?
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Neural Process. Lett., 1999
Int. J. Neural Syst., 1999
Int. J. Neural Syst., 1999
New methodology for the development of adaptive and self-learning fuzzy controllers in real time.
Int. J. Approx. Reason., 1999
Fuzzy Sets Syst., 1999
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 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
An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Parallel combinatorial optimization with evolutionary cooperation between processors.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1998
Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process.
Int. J. Approx. Reason., 1998
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998
1997
Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997