Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification. - Juan José Escobar; Julio Ortega 001; Jesús González 001; Miguel Damas (Euro-Par Workshops, 2016)

Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification. - Juan José Escobar; Julio Ortega 001; Jesús González 001; Miguel Damas (IWBBIO, 2016)

Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection. - Juan José Escobar; Julio Ortega 001; Jesús González 001; Miguel Damas; Beatriz Prieto (EvoApplications (1), 2017)

Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms. - Juan José Escobar; Julio Ortega 001; Antonio Francisco Díaz; Jesús González 001; Miguel Damas (ICA3PP, 2017)

Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures. - Juan José Escobar; Julio Ortega 001; Jesús González 001; Miguel Damas; Antonio F. Díaz (Clust. Comput., 2017)

Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. - Juan José Escobar; Julio Ortega 001; Antonio Francisco Díaz; Jesús González 001; Miguel Damas (GECCO (Companion), 2018)

Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters. - Juan José Escobar; Julio Ortega 001; Antonio Francisco Díaz; Jesús González 001; Miguel Damas (PBio@EuroMPI, 2018)

A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms. - Juan José Escobar; Julio Ortega 001; Antonio Francisco Díaz; Jesús González 001; Miguel Damas (J. Comput. Biol., 2018)

Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. - Juan José Escobar; Julio Ortega 001; Miguel Damas; Rukiye Savran Kiziltepe; John Q. Gan (IWANN (2), 2019)

Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification. - Rukiye Savran Kiziltepe; John Q. Gan; Juan José Escobar (IWANN (2), 2019)

Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures. - Juan José Escobar; Julio Ortega Lopera; Antonio Francisco Díaz; Jesús González 001; Miguel Damas (Concurr. Comput. Pract. Exp., 2019)

Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks. - Juan José Escobar; Julio Ortega 001; Antonio F. Díaz; Jesús González 001; Miguel Damas (J. Supercomput., 2019)

A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems. - Juan José Escobar; Julio Ortega 001; Antonio Francisco Díaz; Jesús González 001; Miguel Damas (GECCO Companion, 2020)

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. - Marco A. Formoso; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Nicolás Gallego-Molina; Juan Luis Luque; Juan José Escobar; Francisco G. Montoya (BIOMESIP, 2021)

Energy-Time Profiling for Machine Learning Methods to EEG Classification. - Juan Carlos Gómez-López; Juan José Escobar; Jesús González 001; Francisco Gil Montoya; Julio Ortega 001; Mike Burmester; Miguel Damas (BIOMESIP, 2021)

Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. - Javier León; Juan José Escobar; Jesús González 001; Julio Ortega 001; Francisco Manuel Arrabal-Campos; Andrés Ortiz 001; Miguel Damas (BIOMESIP, 2021)

Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification. - Alberto Ortega; Juan José Escobar; Julio Ortega 001; Jesús González 001; Alfredo Alcayde; Jorge Munilla; Miguel Damas (BIOMESIP, 2021)

A lexicographic cooperative co-evolutionary approach for feature selection. - Jesús González 001; Julio Ortega 001; Juan José Escobar; Miguel Damas (Neurocomputing, 2021)

Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. - Diego A. Aquino Brítez; Andrés Ortiz 001; Julio Ortega 001; Javier León; Marco A. Formoso; John Q. Gan; Juan José Escobar (Sensors, 2021)

Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data. - Juan Carlos Gómez-López; Juan José Escobar; Antonio Francisco Díaz; Miguel Damas; Francisco Gil Montoya; Jesús González 001 (GECCO Companion, 2022)

Ant colony optimization for feature selection via a filter-randomized search heuristic. - Alberto Ortega; Juan José Escobar; Miguel Damas; Andrés Ortiz 001; Jesús González 001 (GECCO Companion, 2022)

Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing. - Marco A. Formoso; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Diego A. Aquino Brítez; Juan José Escobar; Juan Luis Luque (IWINAC (1), 2022)

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. - Juan José Escobar; Francisco Rodríguez; Rukiye Savran Kiziltepe; Beatriz Prieto; Dragi Kimovski; Andrés Ortiz 001; Miguel Damas (IWANN (1), 2023)

Photon/electron classification in liquid argon detectors by means of Soft Computing. - Javier León; Juan José Escobar; Marina Bravo; Bruno Zamorano; Alberto Guillén (Eng. Appl. Artif. Intell., 2023)

A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. - Juan José Escobar; Francisco Rodríguez; Beatriz Prieto; Dragi Kimovski; Andrés Ortiz 001; Miguel Damas (Computing, 2023)

A novel keyframe extraction method for video classification using deep neural networks. - Rukiye Savran Kiziltepe; John Q. Gan; Juan José Escobar (Neural Comput. Appl., 2023)

Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. - Juan José Escobar; Jesús López-Rodríguez; Diego García-Gil; Roberto Morcillo-Jiménez; Beatriz Prieto; Andrés Ortiz 001; Dragi Kimovski (IWBBIO (1), 2024)

Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification. - Rukiye Savran Kiziltepe; John Q. Gan; Juan José Escobar (IEEE Access, 2024)

Vampire: A smart energy meter for synchronous monitoring in a distributed computer system. - Antonio F. Díaz; Beatriz Prieto; Juan José Escobar; Thomas Andrew Lampert (J. Parallel Distributed Comput., 2024)

Energy-time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters. - Juan José Escobar; Pablo Sánchez-Cuevas; Beatriz Prieto; Rukiye Savran Kiziltepe; Fernando Díaz-del-Río; Dragi Kimovski (Future Gener. Comput. Syst., 2025)

Evolution of computing energy efficiency: Koomey's law revisited. - Alberto Prieto; Beatriz Prieto; Juan José Escobar; Thomas Andrew Lampert (Clust. Comput., 2025)