JULIO
ORTEGA LOPERA
Chercheur dans le période 2006-2021
Andres
Ortiz García
Publications dans lesquelles il/elle collabore avec Andres Ortiz García (44)
2021
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Optimization of deep architectures for eeg signal classification: An automl approach using evolutionary algorithms
Sensors, Vol. 21, Núm. 6, pp. 1-21
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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
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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)
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Deep learning for EEG-based motor imagery classification: Accuracy-cost trade-off
PLoS ONE, Vol. 15, Núm. 6
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Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach
International Journal of Neural Systems, Vol. 30, Núm. 7
2019
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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)
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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)
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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
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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
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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
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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
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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)
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Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
BioMedical Engineering Online, Vol. 15
2015
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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)
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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)
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Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data
Concurrency Computation
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PCA filtering and probabilistic SOM for network intrusion detection
Neurocomputing, Vol. 164, pp. 71-81
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Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection
Expert Systems with Applications, Vol. 42, Núm. 9, pp. 4239-4252
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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)
2014
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Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
Knowledge-Based Systems, Vol. 71, pp. 322-338