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Luis Muñoz
Luis Muñoz
Ph.D, Departamento de Arquitectura y Tecnología de computadores, Universidad de Sevilla
Verified email at us.es
Title
Cited by
Cited by
Year
Augmented and virtual reality evolution and future tendency
L Muñoz-Saavedra, L Miró-Amarante, M Domínguez-Morales
Applied sciences 10 (1), 322, 2020
1762020
Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
J Civit-Masot, A Bañuls-Beaterio, M Domínguez-Morales, M Rivas-Pérez, ...
Computer Methods and Programs in Biomedicine 226, 107108, 2022
272022
AnkFall—Falls, falling risks and daily-life activities dataset with an ankle-placed accelerometer and training using recurrent neural networks
F Luna-Perejón, L Muñoz-Saavedra, J Civit-Masot, A Civit, ...
Sensors 21 (5), 1889, 2021
262021
IoT garment for remote elderly care network
F Luna-Perejón, L Muñoz-Saavedra, JM Castellano-Domínguez, ...
Biomedical Signal Processing and Control 69, 102848, 2021
192021
Affective state assistant for helping users with cognition disabilities using neural networks
L Muñoz-Saavedra, F Luna-Perejón, J Civit-Masot, L Miró-Amarante, ...
Electronics 9 (11), 1843, 2020
152020
Wearable health devices for diagnosis support: evolution and future tendencies
E Escobar-Linero, L Muñoz-Saavedra, F Luna-Perejón, JL Sevillano, ...
Sensors 23 (3), 1678, 2023
112023
Monkeypox diagnostic-aid system with skin images using convolutional neural networks
L Muñoz-Saavedra, E Escobar-Linero, J Civit-Masot, F Luna-Perejón, ...
Available at SSRN 4186534, 2022
92022
Does two-class training extract real features? a COVID-19 case study
L Muñoz-Saavedra, J Civit-Masot, F Luna-Perejón, ...
Applied Sciences 11 (4), 1424, 2021
92021
A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images
L Muñoz-Saavedra, E Escobar-Linero, J Civit-Masot, F Luna-Perejón, ...
Sensors 23 (16), 7134, 2023
72023
On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
E Escobar-Linero, F Luna-Perejón, L Muñoz-Saavedra, JL Sevillano, ...
Engineering Applications of Artificial Intelligence 114, 105170, 2022
52022
Designing and evaluating a wearable device for affective state level classification using machine learning techniques
L Muñoz-Saavedra, E Escobar-Linero, L Miró-Amarante, MR Bohórquez, ...
Expert Systems with Applications 219, 119577, 2023
42023
Sampling frequency evaluation on recurrent neural networks architectures for IoT real-time fall detection devices
F Luna Perejón, J Civit Masot, L Muñoz Saavedra, L Durán López, ...
IJCCI 2019: 11th International Joint Conference on Computational …, 2019
42019
Perspective Chapter: Internet of Things in Healthcare: New Trends, Challenges and Hurdles
L Muñoz Saavedra, F Luna Perejón, J Civit Masot, E Escobar Linero
Internet of Things: New Trends, Challenges and Hurdles, 2022
12022
An Approach to Explainable AI for Digital Pathology
JM Montes-Sánchez, L Munoz-Saavedra, F Luna-Perejón, J Civit-Masot, ...
Jama 318 (22), 2199-2210, 2017
12017
Deep Learning-Recent Findings and Research
M Domínguez-Morales, J Civit-Masot, L Muñoz-Saavedra, ...
2024
A lightweight xAI approach to cervical cancer classification
J Civit-Masot, F Luna-Perejon, L Muñoz-Saavedra, ...
Medical & Biological Engineering & Computing, 1-24, 2024
2024
Diagnosis Aid System for Colorectal Cancer Using Low Computational Cost Deep Learning Architectures
Á Gago-Fabero, L Muñoz-Saavedra, J Civit-Masot, F Luna-Perejón, ...
Electronics 13 (12), 2248, 2024
2024
Evolution and Tendency on the Feature Extraction Process for Diagnostic Aid in Healthcare
E Escobar-Linero, L Muñoz-Saavedra, F Luna-Perejón, J Civit-Masot, ...
Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices …, 2023
2023
FAIME: A Framework for AI-Assisted Musical Devices
M Civit, L Muñoz-Saavedra, F Cuadrado, C Tijus, MJ Escalona
Internet of Things-New Trends, Challenges and Hurdles, 2022
2022
Estudio y aplicación de la teoría psicofisiológica de la emoción para la detección y clasificación del estado afectivo del usuario mediante técnicas de Machine Learning para el …
L Muñoz Saavedra
2022
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