Juan José Escobar
Orcid: 0000-0002-4258-0264Affiliations:
- University of Granada, Spain
According to our database1,
Juan José Escobar
authored at least 28 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Vampire: A smart energy meter for synchronous monitoring in a distributed computer system.
J. Parallel Distributed Comput., February, 2024
Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification.
IEEE Access, 2024
2023
A novel keyframe extraction method for video classification using deep neural networks.
Neural Comput. Appl., December, 2023
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters.
Computing, November, 2023
Eng. Appl. Artif. Intell., 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Ant colony optimization for feature selection via a filter-randomized search heuristic.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms.
Sensors, 2021
Neurocomputing, 2021
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks.
J. Supercomput., 2019
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures.
Concurr. Comput. Pract. Exp., 2019
Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification.
Proceedings of the Advances in Computational Intelligence, 2019
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification.
Proceedings of the Advances in Computational Intelligence, 2019
2018
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms.
J. Comput. Biol., 2018
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, 2018
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures.
Clust. Comput., 2017
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
2016
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016