Juan José Escobar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Feature Selection

Top Venues

GECCO Companion

GECCO (Companion)

Publications

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 (2024)
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 (2024)
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)
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)
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) (2023)
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) (2023)
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 (2023)
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)
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)
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)
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)
Jesús González, Julio Ortega, Juan José Escobar, Miguel Damas
A lexicographic cooperative co-evolutionary approach for feature selection. Neurocomputing 463 (2021)
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)
D. A. Aquino-Britez, 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) (2021)
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)
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)
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)
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)
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) (2019)
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)
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)
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) (2018)
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)
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)
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)
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) (2017)
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)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification. IWBBIO (2016)
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)