Rubén Martín Clemente

Profesor Titular

Universidad de Sevilla

Spain

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Rubén Martín Clemente is a Profesor Titular at Universidad de Sevilla, Spain. His research areas include cognitive neuroscience, artificial intelligence in agriculture, energy consumption modeling, and machine learning applications in healthcare. He has published recent articles focusing on neural resource use during cognitive tasks and the impact of AIoT on agricultural practices. His work also extends to energy prediction methods for electric city buses and analyzing sports tourism trends in Spain.

Articles (18)

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2025

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2025

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (8)

University of Michigan

UNITED STATES

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Rubén Martín Clemente

Research Interests

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Articles (18)

Simultaneous Analysis of Early Components P1 and N1 and Phase and Non-Phase Alpha Activities Associated with Word Recall

Decoupling Alpha Desynchronization from Neural Resource Use: Evidence from Cognitive Load Modulation

Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression

Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning

AIoT in Agriculture: Safeguarding Crops from Pest and Disease Threats

AIoT in Agriculture: Safeguarding Crops from Pest and Disease Threats

Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression

A systematic review of the application of machine-learning algorithms in multiple sclerosis

Driving Cycle Synthesis, Aiming for Realness, by Extending Real-World Driving Databases

Descriptive Analysis of Sports Tourists in Spain

A hypothesis-driven method based on machine learning for neuroimaging data analysis

Effect of the side of presentation in the visual field on phase-locked and nonphase-locked alpha and gamma responses

Reliability analysis of individual visual P1 and N1 maps indicates the heterogeneous topographies involved in early visual processing among human subjects

Reliability analysis of individual visual P1 and N1 maps indicates the heterogeneous topographies involved in early visual processing among human subjects

L1-norm unsupervised Fukunaga-Koontz transform

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

Prediction of Satellite Shadowing in Smart Cities with Application to IoT

Prediction of Satellite Shadowing in Smart Cities with Application to IoT

Collaborators (8)

Javier Ramirez

JESUS ANTONIO CARRILLO-CASTRILLO

Jesús Morenas

Ramon G. Carvajal

Vicente Baena Lecuyer

Fernando Muñoz Chavero

Susana Hornillo Mellado

Vasileios Tzoumas

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