Francisco M. García-Moreno

According to our database, Francisco M. García-Moreno authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

ARTDET: Machine learning software for automated detection of art deterioration in easel paintings.

Francisco M. García-Moreno, Jesús Cortés Alcaraz, José Manuel del Castillo de la Fuente, Luis Rodrigo Rodríguez-Simón, María Visitación Hurtado-Torres

SoftwareX, 2024

A semi-automatic mHealth system using wearable devices for identifying pain-related parameters in elderly individuals.

Dogukan Baran Gungormus, Francisco M. García-Moreno, María Bermúdez-Edo, Laura Sánchez-Bermejo, José Luis Garrido, María José Rodríguez-Fórtiz, José Manuel Pérez-Mármol

Int. J. Medical Informatics, 2024

Using deep learning for predicting the dynamic evolution of breast cancer migration.

Francisco M. García-Moreno, Jesús Ruiz-Espigares, Miguel A. Gutiérrez-Naranjo, Juan Antonio Marchal

Comput. Biol. Medicine, 2024

2023

Systematic design of health monitoring systems centered on older adults and ADLs.

Francisco M. García-Moreno, María Bermúdez-Edo, José Manuel Pérez-Mármol, José Luis Garrido, María José Rodríguez-Fórtiz

BMC Medical Informatics Decis. Mak., December, 2023

2022

ALLERDET: A novel web app for prediction of protein allergenicity.

Francisco M. García-Moreno, Miguel A. Gutiérrez-Naranjo

J. Biomed. Informatics, 2022

A machine learning approach for semi-automatic assessment of IADL dependence in older adults with wearable sensors.

Francisco M. García-Moreno, María Bermúdez-Edo, Estefanía Rodríguez-García, José Manuel Pérez-Mármol, José Luis Garrido, María José Rodríguez-Fórtiz

Int. J. Medical Informatics, 2022

A Conceptual Model of Health Monitoring Systems Centered on ADLs Performance in Older Adults.

Francisco M. García-Moreno, María Bermúdez-Edo, José Manuel Pérez-Mármol, José Luis Garrido, María José Rodríguez-Fórtiz

Proceedings of the Advances in Conceptual Modeling, 2022

2020

Reducing Response Time in Motor Imagery Using A Headband and Deep Learning.

Francisco M. García-Moreno, María Bermúdez-Edo, José Luis Garrido, María José Rodríguez-Fórtiz

Sensors, 2020

A Microservices e-Health System for Ecological Frailty Assessment Using Wearables.

Francisco M. García-Moreno, María Bermúdez-Edo, José Luis Garrido, Estefanía Rodríguez-García, José Manuel Pérez-Mármol, María José Rodríguez-Fórtiz

Sensors, 2020

A CNN-LSTM Deep Learning Classifier for Motor Imagery EEG Detection Using a Low-invasive and Low-Cost BCI Headband.

Francisco M. García-Moreno, María Bermúdez-Edo, María José Rodríguez-Fórtiz, José Luis Garrido

Proceedings of the 16th International Conference on Intelligent Environments, 2020

2019

Designing a Smart Mobile Health System for Ecological Frailty Assessment in Elderly.

Francisco M. García-Moreno, Estefanía Rodríguez-García, María José Rodríguez-Fórtiz, José Luis Garrido, María Bermúdez-Edo, Carmen Villaverde-Gutiérrez, José Manuel Pérez-Mármol

Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019