Publicaciones en las que colabora con Andres Ortiz García (35)

2024

  1. Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy

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

2023

  1. A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters

    Computing, Vol. 105, Núm. 11, pp. 2487-2510

  2. Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

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

2022

  1. Ant colony optimization for feature selection via a filter-randomized search heuristic

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

2021

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

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

  2. 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)

  3. Understanding power quality using iot-based smart analyzers and advanced software tools

    Renewable Energy and Power Quality Journal, Vol. 19, pp. 356-361

2020

  1. 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)

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

    PLoS ONE, Vol. 15, Núm. 6

2019

  1. 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)

2017

  1. A parallel island approach to multiobjective feature selection for brain-computer interfaces

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 16-27

  2. 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

2016

  1. A new scalable approach for distributed metadata in HPC

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

2015

  1. PCA filtering and probabilistic SOM for network intrusion detection

    Neurocomputing, Vol. 164, pp. 71-81

2013

  1. Affinity-based network interfaces for efficient communication on multicore architectures

    Journal of Computer Science and Technology, Vol. 28, Núm. 3, pp. 508-524

  2. Interfaces de Red con afinidad para la comunicación eficiente en arquitecturas multinúcleo

    Actas de las XXIV Jornadas de Paralelismo

  3. Leveraging bandwidth improvements to web servers through enhanced network interfaces

    Journal of Supercomputing

  4. Network anomaly detection with bayesian self-organizing maps

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

2011

  1. Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures

    Journal of Supercomputing

  2. Improving dynamic web servers by affinity-based network interfaces

    Proceedings - 19th International Euromicro Conference on Parallel, Distributed, and Network-Based Processing, PDP 2011