Jesús González
Orcid: 0000-0002-0415-1821Affiliations:
- University of Granada, Spain
According to our database1,
Jesús González
authored at least 115 papers
between 1998 and 2023.
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Bibliography
2023
Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification.
Proceedings of the Advances in Computational Intelligence, 2023
Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Ant colony optimization for feature selection via a filter-randomized search heuristic.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Neurocomputing, 2021
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks.
J. Supercomput., 2019
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI.
Neurocomputing, 2019
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures.
Concurr. Comput. Pract. Exp., 2019
Distributed multi-objective evolutionary optimization using island-based selective operator application.
Appl. Soft Comput., 2019
Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach.
Proceedings of the Advances in Computational Intelligence, 2019
2018
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms.
J. Comput. Biol., 2018
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, 2018
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP).
Sensors, 2017
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures.
Clust. Comput., 2017
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis.
Proceedings of the Advances in Computational Intelligence, 2017
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
2016
Sensors, 2016
Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters.
Appl. Soft Comput., 2016
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016
2014
Proceedings of the Intelligent Distributed Computing VIII, 2014
Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
2013
The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming.
IEEE Trans. Educ., 2013
Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm.
Neurocomputing, 2013
Expert Syst. Appl., 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2011
J. Syst. Archit., 2011
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the Ambient Assisted Living - Third International Workshop, 2011
EogStudio - A Software Platform for Processing Electrooculography Recordings.
Proceedings of the NCTA 2011, 2011
2010
Int. J. Hybrid Intell. Syst., 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010
Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems.
Neurocomputing, 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
Proceedings of the Artificial Neural Networks, 2009
2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Comput. Appl., 2008
2007
Neural Process. Lett., 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
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
A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application.
Proceedings of the FUZZ-IEEE 2007, 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 Computational Science, 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
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
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
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Pattern Recognition and Image Analysis, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
2004
The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
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
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
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
Neural Process. Lett., 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
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. Syst. Man Cybern. Part C, 2002
IEEE Trans. Syst. Man Cybern. Part B, 2002
IEEE Trans. Neural Networks, 2002
IEEE Trans. Fuzzy Syst., 2002
Int. J. Approx. Reason., 2002
Proceedings of the High Performance Computing for Computational Science, 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 Advances in Artificial Intelligence, 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Evaluating the impact of multiplicative input perturbations on radial basis function networks.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
2001
Multidimensional and multideme genetic algorithms for the construction of fuzzy systems.
Int. J. Approx. Reason., 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
2000
A systematic approach to a self-generating fuzzy rule-table for function approximation.
IEEE Trans. Syst. Man Cybern. Part B, 2000
Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks.
Neural Process. Lett., 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
1999
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
G-Prop-III: Global Optimization of Multilayer Perceptrons using an Evolutionary Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999
1998
Optimizing Web Page Layout Using an Annealed Genetic Algorithm as Client-Side Script.
Proceedings of the Parallel Problem Solving from Nature, 1998