Publicaciones en las que colabora con JULIO ORTEGA LOPERA (36)

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. 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)

  4. 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

2019

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

    Neurocomputing, Vol. 333, pp. 407-418

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

    Applied Soft Computing Journal, Vol. 85

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

    Concurrency and Computation: Practice and Experience

  4. 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)

  5. 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

  2. Classification of Breast Cancer Histopathological Images Using KAZE Features

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

  3. Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters

    GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

  4. Prediction of energy consumption in a NSGA-II-based evolutionary algorithm

    GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

  5. Speedup and energy analysis of EEG classification for BCI tasks on CPU-GPU clusters

    ACM International Conference Proceeding Series

2017

  1. Deep belief networks and multiobjective feature selection for BCI with multiresolution analysis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 28-39

  2. Improving memory accesses for heterogeneous parallel multi-objective feature selection on eeg classification

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

  3. Issues on GPU parallel implementation of evolutionary high-dimensional multi-objective feature selection

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