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ORCIDJuan José Escobar
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- affiliation: University of Granada, Spain
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Journal Articles
- 2024
[j11]Rukiye Savran Kiziltepe
, John Q. Gan, Juan José Escobar:
Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification. IEEE Access 12: 19432-19446 (2024)- [j10]Antonio F. Díaz, Beatriz Prieto, Juan José Escobar, Thomas Andrew Lampert:
Vampire: A smart energy meter for synchronous monitoring in a distributed computer system. J. Parallel Distributed Comput. 184: 104794 (2024) - 2023
- [j9]Juan José Escobar, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas:
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. Computing 105(11): 2487-2510 (2023) - [j8]Javier León, Juan José Escobar, Marina Bravo, Bruno Zamorano, Alberto Guillén:
Photon/electron classification in liquid argon detectors by means of Soft Computing. Eng. Appl. Artif. Intell. 122: 106079 (2023) - [j7]Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar:
A novel keyframe extraction method for video classification using deep neural networks. Neural Comput. Appl. 35(34): 24513-24524 (2023) - 2021
- [j6]Jesús González, Julio Ortega, Juan José Escobar, Miguel Damas:
A lexicographic cooperative co-evolutionary approach for feature selection. Neurocomputing 463: 59-76 (2021) - [j5]Diego A. Aquino Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar:
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors 21(6): 2096 (2021) - 2019
- [j4]Juan José Escobar, Julio Ortega Lopera, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j3]Juan José Escobar, Julio Ortega, Antonio F. Díaz, Jesús González, Miguel Damas:
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks. J. Supercomput. 75(7): 3397-3425 (2019) - 2018
- [j2]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms. J. Comput. Biol. 25(8): 882-893 (2018) - 2017
- [j1]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Antonio F. Díaz:
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures. Clust. Comput. 20(3): 1881-1897 (2017)
Conference and Workshop Papers
- 2024
- [c18]Juan José Escobar, Jesús López-Rodríguez, Diego García-Gil, Roberto Morcillo-Jiménez, Beatriz Prieto, Andrés Ortiz, Dragi Kimovski:
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. IWBBIO (1) 2024: 77-90 - 2023
- [c17]Juan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas:
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. IWANN (1) 2023: 505-516 - 2022
- [c16]Alberto Ortega, Juan José Escobar, Miguel Damas, Andrés Ortiz, Jesús González:
Ant colony optimization for feature selection via a filter-randomized search heuristic. GECCO Companion 2022: 85-88 - [c15]Juan Carlos Gómez-López, Juan José Escobar, Antonio Francisco Díaz, Miguel Damas, Francisco Gil Montoya, Jesús González:
Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data. GECCO Companion 2022: 431-434 - [c14]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Juan José Escobar, Juan Luis Luque:
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing. IWINAC (1) 2022: 13-22 - 2021
- [c13]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque, Juan José Escobar, Francisco G. Montoya:
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. BIOMESIP 2021: 97-106 - [c12]Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas:
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP 2021: 297-310 - [c11]Juan Carlos Gómez-López, Juan José Escobar, Jesús González, Francisco Gil Montoya, Julio Ortega, Mike Burmester, Miguel Damas:
Energy-Time Profiling for Machine Learning Methods to EEG Classification. BIOMESIP 2021: 311-322 - [c10]Alberto Ortega, Juan José Escobar, Julio Ortega, Jesús González, Alfredo Alcayde, Jorge Munilla, Miguel Damas:
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification. BIOMESIP 2021: 323-336 - 2020
- [c9]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems. GECCO Companion 2020: 211-212 - 2019
- [c8]Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar:
Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification. IWANN (2) 2019: 811-822 - [c7]Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan:
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. IWANN (2) 2019: 895-907 - 2018
- [c6]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. GECCO (Companion) 2018: 1862-1869 - [c5]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters. PBio@EuroMPI 2018: 33-43 - 2017
- [c4]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Beatriz Prieto:
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection. EvoApplications (1) 2017: 773-788 - [c3]Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms. ICA3PP 2017: 580-590 - 2016
- [c2]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas:
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification. Euro-Par Workshops 2016: 372-383 - [c1]Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas:
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification. IWBBIO 2016: 277-289
Coauthor Index
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