Publicaciones en colaboración con investigadores/as de University of Essex (10)

2021

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

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

2020

  1. 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. 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)

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. A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI

    Neurocomputing, Vol. 250, pp. 45-56

  3. 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. Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection

    BioMedical Engineering Online, Vol. 15

2015

  1. A label-aided filter method for multi-objective feature selection in EEG classification for BCI

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

  2. Evolutionary multiobjective feature selection in multiresolution analysis for BCI

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