Juan José Escobar

34 papers C 1Journal 13Unranked 18
YearRankTypeTitle / Venue / Authors
2026 — ed.
Bioinformatics and Biomedical Engineering - 12th International Conference, IWBBIO 2025, Gran Canaria, Spain, July 16-18, 2025, Proceedings, Part I
IWBBIO (1)
Ignacio Rojas, Francisco Ortuño, Fernando Rojas Ruiz, Luis Javier Herrera, Olga Valenzuela, Juan José Escobar
2026 — ed.
Bioinformatics and Biomedical Engineering - 12th International Conference, IWBBIO 2025, Gran Canaria, Spain, July 16-18, 2025, Proceedings, Part II
IWBBIO (2)
Ignacio Rojas, Francisco Ortuño, Fernando Rojas Ruiz, Luis Javier Herrera, Olga Valenzuela, Juan José Escobar
2025 — conf
Balancing Accuracy and Energy Efficiency in EEG Classification: An Evaluation of Wrapper-Based Approaches.
IWBBIO (1)
Juan José Escobar, Diego A. Aquino Brítez, Beatriz Prieto, Rodrigo Javier Martinez, Gloria Marcela Ortiz, Andrés Ortiz
2025 J jnl
Energy-time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters.
Future Gener. Comput. Syst.
Juan José Escobar, Pablo Sánchez-Cuevas, Beatriz Prieto, Rukiye Savran Kiziltepe, Fernando Díaz-del-Río, Dragi Kimovski
2025 J jnl
Evolution of computing energy efficiency: Koomey's law revisited.
Clust. Comput.
Alberto Prieto, Beatriz Prieto, Juan José Escobar, Thomas Andrew Lampert
2024 — conf
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy.
IWBBIO (1)
Juan José Escobar, Jesús López-Rodríguez, Diego García-Gil, Roberto Morcillo-Jiménez, Beatriz Prieto, Andrés Ortiz, Dragi Kimovski
2024 J jnl
Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification.
IEEE Access
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
2024 J jnl
Vampire: A smart energy meter for synchronous monitoring in a distributed computer system.
J. Parallel Distributed Comput.
Antonio F. Díaz, Beatriz Prieto, Juan José Escobar, Thomas Andrew Lampert
2023 J jnl
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters.
Computing
Juan José Escobar, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas
2023 J jnl
A novel keyframe extraction method for video classification using deep neural networks.
Neural Comput. Appl.
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
2023 — conf
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms.
IWANN (1)
Juan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas
2023 J jnl
Photon/electron classification in liquid argon detectors by means of Soft Computing.
Eng. Appl. Artif. Intell.
Javier León, Juan José Escobar, Marina Bravo, Bruno Zamorano, Alberto Guillén
2022 — conf
Ant colony optimization for feature selection via a filter-randomized search heuristic.
GECCO Companion
Alberto Ortega, Juan José Escobar, Miguel Damas, Andrés Ortiz, Jesús González
2022 — conf
Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data.
GECCO Companion
Juan Carlos Gómez-López, Juan José Escobar, Antonio Francisco Díaz, Miguel Damas, Francisco Gil Montoya, Jesús González
2022 — conf
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing.
IWINAC (1)
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Juan José Escobar, Juan Luis Luque
2021 J jnl
A lexicographic cooperative co-evolutionary approach for feature selection.
Neurocomputing
Jesús González, Julio Ortega, Juan José Escobar, Miguel Damas
2021 — conf
Energy-Time Profiling for Machine Learning Methods to EEG Classification.
BIOMESIP
Juan Carlos Gómez-López, Juan José Escobar, Jesús González, Francisco Gil Montoya, Julio Ortega, Mike Burmester, Miguel Damas
2021 — conf
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis.
BIOMESIP
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque, Juan José Escobar, Francisco G. Montoya
2021 J jnl
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms.
Sensors
Diego A. Aquino Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar
2021 — conf
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification.
BIOMESIP
Alberto Ortega, Juan José Escobar, Julio Ortega, Jesús González, Alfredo Alcayde, Jorge Munilla, Miguel Damas
2021 — conf
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification.
BIOMESIP
Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas
2020 — conf
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems.
GECCO Companion
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
2019 — conf
Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification.
IWANN (2)
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
2019 — conf
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification.
IWANN (2)
Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan
2019 J jnl
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures.
Concurr. Comput. Pract. Exp.
Juan José Escobar, Julio Ortega Lopera, Antonio Francisco Díaz, Jesús González, Miguel Damas
2019 J jnl
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks.
J. Supercomput.
Juan José Escobar, Julio Ortega, Antonio F. Díaz, Jesús González, Miguel Damas
2018 J jnl
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms.
J. Comput. Biol.
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
2018 — conf
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters.
GECCO (Companion)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
2018 — conf
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters.
PBio@EuroMPI
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
2017 — conf
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection.
EvoApplications (1)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Beatriz Prieto
2017 J jnl
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures.
Clust. Comput.
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Antonio F. Díaz
2017 C conf
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms.
ICA3PP
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
2016 — conf
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification.
IWBBIO
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas
2016 — conf
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification.
Euro-Par Workshops
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas