Pablo García-Sánchez

Associate Lecturer

Universidad de Granada

Spain

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About

Pablo García-Sánchez is an Associate Lecturer at the University of Granada, Spain. His research focuses on energy consumption in algorithms, explainable AI for cyber threat detection, and bio-inspired optimization techniques. He has contributed to the field with recent articles analyzing performance in evolutionary algorithms, the efficiency of deep learning models, and the impact of international collaborations on citation rates.

Articles (16)

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2025

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2025

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2020

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2020

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2020

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2020

Collaborators (9)

Juan Antonio Morente Molinera

Universidad de Granada

SPAIN

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Antonio Javier Fernández Ares

Universidad de Granada

SPAIN

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Maribel García-Arenas

Universidad de Granada

SPAIN

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Carlos Cotta

Full Professor / Catedrático de Universidad

University of Malaga

SPAIN

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Antonio J. Fernandez Leiva

Associatte Professor (Titular de Universidad)

University of Malaga

SPAIN

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Ignacio Javier Pérez Gálvez

Universidad de Cádiz

SPAIN

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Pedro Castillo Valdivieso

Associate Professor

Universidad de Granada

SPAIN

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Jose A. Moral-Munoz

Profesor

Universidad de Cádiz

SPAIN

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Antonio M. Mora García

Profesor Contratado Doctor

Universidad de Granada

SPAIN

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Pablo García-Sánchez

Research Interests

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Articles (16)

Evaluation of Explainable, Interpretable and Non-Interpretable Algorithms for Cyber Threat Detection

A Comparison of Energy Consumption and Quality of Solutions in Evolutionary Algorithms

A Multi-Objective Bio-Inspired Optimization for Voice Disorders Detection: A Comparative Study

Bio-inspired optimization of feature selection and SVM tuning for voice disorders detection

Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools

Energy Efficiency Evaluation of Frameworks for Algorithms in Time Series Forecasting

New trends in bibliometric APIs: A comparative analysis

Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers

Comparing the Performance of Deep Learning Methods to Predict Companies’ Financial Failure

Performance Study of Minimax and Reinforcement Learning Agents Playing the Turn-based Game Iwoki

The Simpsons did it: Exploring the film trope space and its large scale structure

Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking

StarTroper, a film trope rating optimizer using machine learning and evolutionary algorithms

Análisis del impacto de la colaboración internacional en el área de estudios empresariales

Deep memetic models for combinatorial optimization problems: application to the tool switching problem

Automatic Rule Extraction from Access Rules Using Genetic Programming

Collaborators (9)

Juan Antonio Morente Molinera

Antonio Javier Fernández Ares

Maribel García-Arenas

Carlos Cotta

Antonio J. Fernandez Leiva

Ignacio Javier Pérez Gálvez

Pedro Castillo Valdivieso

Jose A. Moral-Munoz

Antonio M. Mora García

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