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ORCIDJesús González 0001
- > Home > Persons > Jesús González 0001
Publications
- 2021
[j39]Jesús González
, Julio Ortega, Juan José Escobar, Miguel Damas:
A lexicographic cooperative co-evolutionary approach for feature selection. Neurocomputing 463: 59-76 (2021)- [c72]Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas:
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP 2021: 297-310 - [c71]Juan Carlos Gómez-López, Juan José Escobar, Jesús González, Francisco Gil Montoya, Julio Ortega, Mike Burmester, Miguel Damas:
Energy-Time Profiling for Machine Learning Methods to EEG Classification. BIOMESIP 2021: 311-322 - [c70]Alberto Ortega, Juan José Escobar, Julio Ortega, Jesús González, Alfredo Alcayde, Jorge Munilla, Miguel Damas:
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification. BIOMESIP 2021: 323-336 - 2020
- [c69]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems. GECCO Companion 2020: 211-212 - [c68]Javier León, Andrés Ortiz, Miguel Damas, Jesús González, Julio Ortega:
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification. HAIS 2020: 774-785 - 2019
- [j38]Pablo García-Sánchez, Julio Ortega, Jesús González, Pedro A. Castillo, Juan Julián Merelo Guervós:
Distributed multi-objective evolutionary optimization using island-based selective operator application. Appl. Soft Comput. 85 (2019) - [j37]Juan José Escobar, Julio Ortega Lopera, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j36]Jesús González, Julio Ortega, Miguel Damas, Pedro Martín-Smith, John Q. Gan:
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI. Neurocomputing 333: 407-418 (2019) - [j35]Juan José Escobar, Julio Ortega, Antonio F. Díaz, Jesús González, Miguel Damas:
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks. J. Supercomput. 75(7): 3397-3425 (2019) - [c67]Jesús González, Julio Ortega Lopera, Miguel Damas, Pedro Martín-Smith:
Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach. IWANN (2) 2019: 463-474 - 2018
- [j34]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms. J. Comput. Biol. 25(8): 882-893 (2018) - [c66]Salvador Moreno, Julio Ortega, Miguel Damas, Antonio F. Díaz, Jesús González, Héctor Pomares:
Prediction of energy consumption in a NSGA-II-based evolutionary algorithm. GECCO (Companion) 2018: 239-240 - [c65]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. GECCO (Companion) 2018: 1862-1869 - [c64]Daniel Sánchez Morillo, Jesús González, Marcial García-Rojo, Julio Ortega:
Classification of Breast Cancer Histopathological Images Using KAZE Features. IWBBIO (2) 2018: 276-286 - [c63]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters. PBio@EuroMPI 2018: 33-43 - 2017
- [j33]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Antonio F. Díaz:
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures. Clust. Comput. 20(3): 1881-1897 (2017) - [c62]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Beatriz Prieto:
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection. EvoApplications (1) 2017: 773-788 - [c61]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms. ICA3PP 2017: 580-590 - [c60]Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver:
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis. IWANN (1) 2017: 28-39 - 2016
- [c59]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas:
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification. Euro-Par Workshops 2016: 372-383 - [c58]Pablo García-Sánchez, Julio Ortega, Jesús González, Pedro A. Castillo, Juan Julián Merelo Guervós:
Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces. EvoApplications (2) 2016: 107-117 - [c57]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas:
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification. IWBBIO 2016: 277-289 - 2003
- [j12]José Luis Bernier, Antonio F. Díaz, F. J. Fernández, Antonio Cañas, Jesús González, Pedro Martín-Smith, Julio Ortega Lopera:
Assessing the Noise Immunity and Generalization of Radial Basis Function Networks. Neural Process. Lett. 18(1): 35-48 (2003) - [j11]Jesús González, Ignacio Rojas, Julio Ortega Lopera, Héctor Pomares, Francisco Javier Fernández-Baldomero, Antonio F. Díaz:
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation. IEEE Trans. Neural Networks 14(6): 1478-1495 (2003) - [c22]Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega:
Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks. IWANN (1) 2003: 454-461 - [c21]Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega:
Studying the Convergence of the CFA Algorithm. IWANN (1) 2003: 550-557 - 2002
- [j8]Jesús González, Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto:
A new clustering technique for function approximation. IEEE Trans. Neural Networks 13(1): 132-142 (2002) - [c20]José Luis Bernier, Jesús González, Antonio Cañas, Antonio F. Díaz, F. J. Fernández, Julio Ortega:
Evaluating the impact of multiplicative input perturbations on radial basis function networks. ESANN 2002: 237-244 - [c14]Javier Fernández, Antonio Cañas, Antonio F. Díaz, Jesús González, Julio Ortega, Alberto Prieto:
Performance of Message-Passing MATLAB Toolboxes. VECPAR 2002: 228-241 - 2001
- [c8]Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega:
RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. IWANN (1) 2001: 498-505 - 2000
- [j1]Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, Jesús González, Alberto Prieto:
A systematic approach to a self-generating fuzzy rule-table for function approximation. IEEE Trans. Syst. Man Cybern. Part B 30(3): 431-447 (2000) - [c5]Ignacio Rojas, Héctor Pomares, Jesús González, Eduardo Ros, Moisés Salmerón, Julio Ortega, Alberto Prieto:
A New Radial Basis Function Networks Structure: Application to Time Series Prediction. IJCNN (4) 2000: 449-454
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