Juan José Escobar

About Juan José Escobar

Juan José Escobar, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Universidad de Granada, specializes in the field of Energy-aware Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Integration of Feature and Decision Fusion with Deep Learning Architectures for Video Classification

Vampire: A smart energy meter for synchronous monitoring in a distributed computer system

A novel keyframe extraction method for video classification using deep neural networks

A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

Photon/electron classification in liquid argon detectors by means of Soft Computing

AppRendo solo: Aprendizaje-servicio transversal para desarrollo de software accesible

Eficiencia energética de computadores personales: un análisis comparativo

Juan José Escobar Information

University

Position

Department of Computer Architecture and Technology CITIC- University of Granada

Citations(all)

221

Citations(since 2020)

188

Cited By

73

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Juan José Escobar Skills & Research Interests

Energy-aware Computing

Top articles of Juan José Escobar

Integration of Feature and Decision Fusion with Deep Learning Architectures for Video Classification

2024/2/1

Vampire: A smart energy meter for synchronous monitoring in a distributed computer system

Journal of Parallel and Distributed Computing

2024/2/1

A novel keyframe extraction method for video classification using deep neural networks

Neural Computing and Applications

2023/12

John Q Gan
John Q Gan

H-Index: 21

Juan José Escobar
Juan José Escobar

H-Index: 5

A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters

Computing

2023/11

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

2023/6/19

Photon/electron classification in liquid argon detectors by means of Soft Computing

Engineering Applications of Artificial Intelligence

2023/6/1

AppRendo solo: Aprendizaje-servicio transversal para desarrollo de software accesible

2023/7/5

Eficiencia energética de computadores personales: un análisis comparativo

2022/9/23

Algoritmo Evolutivo Multiobjetivo con Paralelismo Multinivel para Clasificación de EEGs: Análisis Energía-tiempo en Clústeres Heterogéneos

2022/9/22

Boosting the convergence of a ga-based wrapper for feature selection problems on high-dimensional data

2022/7/9

Juan José Escobar
Juan José Escobar

H-Index: 5

Miguel Damas
Miguel Damas

H-Index: 16

Ant colony optimization for feature selection via a filter-randomized search heuristic

2022/7/9

Temporal phase synchrony disruption in dyslexia: Anomaly patterns in auditory processing

2022/5/24

Juan José Escobar
Juan José Escobar

H-Index: 5

HIGEA: An Intelligent Conversational Agent to Detect Caregiver Burden

International Journal of Environmental Research and Public Health

2022/11/30

Energy efficiency of personal computers: a comparative analysis

2022/10/8

A lexicographic cooperative co-evolutionary approach for feature selection

Neurocomputing

2021/11/6

Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification

Bioengineering and Biomedical Signal and Image Processing: First International Conference, BIOMESIP 2021, Meloneras, Gran Canaria, Spain, July 19-21, 2021, Proceedings

2021/10/8

Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification

Bioengineering and Biomedical Signal and Image Processing: First International Conference, BIOMESIP 2021, Meloneras, Gran Canaria, Spain, July 19-21, 2021, Proceedings

2021/10/8

Energy-Time Profiling for Machine Learning Methods to EEG Classification

Bioengineering and Biomedical Signal and Image Processing: First International Conference, BIOMESIP 2021, Meloneras, Gran Canaria, Spain, July 19-21, 2021, Proceedings

2021/10/8

Optimization of deep architectures for eeg signal classification: An automl approach using evolutionary algorithms

Sensors

2021/3/17

Modelling brain connectivity networks by graph embedding for dyslexia diagnosis

2021

See List of Professors in Juan José Escobar University(Universidad de Granada)

Co-Authors

academic-engine