Publicaciones en colaboración con investigadores/as de Universidad de Málaga (41)

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. 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)

  3. 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. 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

  3. Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach

    International Journal of Neural Systems, Vol. 30, Núm. 7

2019

  1. An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals

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

  2. 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)

  3. Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

    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. 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)

  2. 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)

  3. Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data

    Concurrency Computation

  4. PCA filtering and probabilistic SOM for network intrusion detection

    Neurocomputing, Vol. 164, pp. 71-81

  5. Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection

    Expert Systems with Applications, Vol. 42, Núm. 9, pp. 4239-4252

  6. Parallel cooperation for large-scale multiobjective optimization on feature selection problems

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