Publicaciones en las que colabora con JULIO ORTEGA LOPERA (180)

2021

  1. A lexicographic cooperative co-evolutionary approach for feature selection

    Neurocomputing, Vol. 463, pp. 59-76

  2. Energy-Time Profiling for Machine Learning Methods to EEG Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Optimization of deep architectures for eeg signal classification: An automl approach using evolutionary algorithms

    Sensors, Vol. 21, Núm. 6, pp. 1-21

  4. Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. A parallel and distributed multi-population GA with asynchronous migrations: Energy-time analysis for heterogeneous systems

    GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

  2. Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Deep learning for EEG-based motor imagery classification: Accuracy-cost trade-off

    PLoS ONE, Vol. 15, Núm. 6

  4. El cuatrimestre de la COVID-19 en la asignatura de Arquitectura de Computadores: reflexiones sobre la incidencia de la pandemia en la docencia universitaria

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 10, pp. 5-14

  5. Multiprotocol authentication device for hpc and cloud environments based on elliptic curve cryptography

    Electronics (Switzerland), Vol. 9, Núm. 7, pp. 1-26

2019

  1. A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI

    Neurocomputing, Vol. 333, pp. 407-418

  2. Annálisis Energía-Tiempo de Redes Neuronales Convolucionales Distribuidas en Clusters Heterogéneos para clasificación de EEGs

    Avances en Arquitectura y Tecnología de Computadores: Actas de Jornadas SARTECO, Cáceres, 18 a 20 de septiembre de 2019| (Servicio de Publicaciones), pp. 109-115

  3. Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Distributed multi-objective evolutionary optimization using island-based selective operator application

    Applied Soft Computing Journal, Vol. 85

  5. Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures

    Concurrency and Computation: Practice and Experience

  7. La hoja de ruta de la ingeniería de computadores al final de la ley de Moore y el escalado de Dennard

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 9, pp. 5-28

  8. Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  9. Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks

    Journal of Supercomputing, Vol. 75, Núm. 7, pp. 3397-3425

2018

  1. A power-performance perspective to multiobjective electroencephalogram feature selection on heterogeneous parallel platforms

    Journal of Computational Biology