Luis Muñoz-Saavedra

12 papers C 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explainable Deep Learning System for Custom Report Generation in Breast Cancer Histology.
Cogn. Comput.
Miguel Á. Anguita-Molina, Javier Civit-Masot, Luis Muñoz-Saavedra, Aurora Polo Rodríguez, Manuel Domínguez-Morales
2024 J jnl
A Framework for AI assisted Musical Devices.
CoRR
Miguel Civit, Luis Muñoz-Saavedra, Francisco Cuadrado, Charles Tijus, María José Escalona
2024 J jnl
A lightweight xAI approach to cervical cancer classification.
Medical Biol. Eng. Comput.
Javier Civit-Masot, Francisco Luna-Perejon, Luis Muñoz-Saavedra, Manuel Domínguez-Morales, Antón Civit
2024 — conf
Docker-Based Web Service to Aid Prostate Cancer Diagnosis Using Deep-Learning Techniques.
SimuTools
Antonio M. Pérez-Peña, Luis Muñoz-Saavedra, José Manuel Marrón-Esquivel, Lourdes Durán-López, Juan Pedroa Dominguez-Morales, Saturnino Vicente Diaz, Alejandro Linares-Barranco
2023 J jnl
A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images.
Sensors
Luis Muñoz-Saavedra, Elena Escobar-Linero, Javier Civit-Masot, Francisco Luna-Perejón, Antón Civit, Manuel Domínguez-Morales
2023 J jnl
Designing and evaluating a wearable device for affective state level classification using machine learning techniques.
Expert Syst. Appl.
Luis Muñoz-Saavedra, Elena Escobar-Linero, Lourdes Miro-Amarante, M. Rocío Bohórquez, Manuel Domínguez-Morales
2023 J jnl
Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies.
Sensors
Elena Escobar-Linero, Luis Muñoz-Saavedra, Francisco Luna-Perejón, José Luis Sevillano, Manuel Domínguez-Morales
2022 J jnl
Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques.
Comput. Methods Programs Biomed.
Javier Civit-Masot, Alejandro Bañuls-Beaterio, Manuel Domínguez-Morales, Manuel Rivas Pérez, Luis Muñoz-Saavedra, José María Rodríguez Corral
2022 J jnl
On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems.
Eng. Appl. Artif. Intell.
Elena Escobar-Linero, Francisco Luna-Perejón, Luis Muñoz-Saavedra, José Luis Sevillano, Manuel Domínguez-Morales
2021 J jnl
AnkFall - Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks.
Sensors
Francisco Luna-Perejón, Luis Muñoz-Saavedra, Javier Civit-Masot, Antón Civit, Manuel Domínguez-Morales
2021 J jnl
IoT garment for remote elderly care network.
Biomed. Signal Process. Control.
Francisco Luna-Perejón, Luis Muñoz-Saavedra, Jose M. Castellano-Domínguez, Manuel Domínguez-Morales
2019 C conf
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices.
IJCCI
Francisco Luna-Perejon, Javier Civit-Masot, Luis Muñoz-Saavedra, Lourdes Duran-Lopez, Isabel Amaya-Rodriguez, Juan Pedro Dominguez-Morales, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Antón Civit Balcells, Manuel Jesus Domínguez-Morales