Zobrazeno 1 - 10
of 2 253
pro vyhledávání: '"A. Ordas"'
Autor:
Bayón-Gutiérrez, Martín, García-Ordás, María Teresa, Moretón, Héctor Alaiz, Aveleira-Mata, Jose, Martín, Sergio Rubio, Benítez-Andrades, José Alberto
Publikováno v:
M Bay\'on-Guti\'errez, MT Garc\'ia-Ord\'as, H Alaiz Moret\'on, J Aveleira-Mata, S Rubio-Mart\'in, JA Ben\'itez-Andrades. TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection. Logic Journal of the IGPL. 2024
Robust road surface estimation is required for autonomous ground vehicles to navigate safely. Despite it becoming one of the main targets for autonomous mobility researchers in recent years, it is still an open problem in which cameras and LiDAR sens
Externí odkaz:
http://arxiv.org/abs/2405.08429
Autor:
Rubio-Martín, Sergio, García-Ordás, María Teresa, Bayón-Gutiérrez, Martín, Prieto-Fernández, Natalia, Benítez-Andrades, José Alberto
Publikováno v:
Health Inf Sci Syst 12, 20 (2024)
Purpose: Our study explored the use of artificial intelligence (AI) to diagnose autism spectrum disorder (ASD). It focused on machine learning (ML) and deep learning (DL) to detect ASD from text inputs on social media, addressing challenges in tradit
Externí odkaz:
http://arxiv.org/abs/2403.03581
Autor:
García-Ordás, María Teresa, Arias, Natalia, Benavides, Carmen, García-Olalla, Oscar, Benítez-Andrades, José Alberto
Publikováno v:
Healthcare 2020, 8(4), 371
COVID-19 disease has affected almost every country in the world. The large number of infected people and the different mortality rates between countries has given rise to many hypotheses about the key points that make the virus so lethal in some plac
Externí odkaz:
http://arxiv.org/abs/2402.12558
Autor:
Benítez-Andrades, José Alberto, Arias, Natalia, García-Ordás, María Teresa, Martínez-Martínez, Marta, García-Rodríguez, Isaías
Publikováno v:
Sensors 2020, 20(5), 1404
This study shows the feasibility of an eHealth solution for tackling eating habits and physical activity in the adolescent population. The participants were children from 11 to 15 years old. An intervention was carried out on 139 students in the inte
Externí odkaz:
http://arxiv.org/abs/2403.12073
Autor:
Aguayo-Canela, Francisco José, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Benavides, Carmen, Novais, Paulo, García-Rodríguez, Isaías
Publikováno v:
Cluster Computing, 2021, Volume 24, pp 2313-2325
The spread of the Internet of Things (IoT) is demanding new, powerful architectures for handling the huge amounts of data produced by the IoT devices. In many scenarios, many existing isolated solutions applied to IoT devices use a set of rules to de
Externí odkaz:
http://arxiv.org/abs/2402.10385
Autor:
Aguayo-Canela, Francisco José, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Benavides, Carmen, García-Rodríguez, Isaías
Publikováno v:
The Journal of Supercomputing, Volume 77, pages 13046 - 13068, 2021
The increasing number of connected devices and the complexity of Internet of Things (IoT) ecosystems are demanding new architectures for managing and securing these networked environments. Intrusion Detection Systems (IDS) are security solutions that
Externí odkaz:
http://arxiv.org/abs/2402.09499
Autor:
Benítez-Andrades, José Alberto, García-Ordás, María Teresa, Álvarez-González, María, Leirós-Rodríguez, Raquel, Rodríguez, Ana F López
Publikováno v:
Digital Health, Volume 8, 2022, 20552076221111289
Background: Postpartum urinary incontinence (PUI) is a common issue among postnatal women. Previous studies identified potential related variables, but lacked analysis on certain intrinsic and extrinsic patient variables during pregnancy. Objective:
Externí odkaz:
http://arxiv.org/abs/2402.09498
Autor:
Delgado-Panadero, Ángel, Hernández-Lorca, Beatriz, García-Ordás, María Teresa, Benítez-Andrades, José Alberto
Publikováno v:
Information Sciences, Volume 589, 2022, Pages 199-212
Gradient Boost Decision Trees (GBDT) is a powerful additive model based on tree ensembles. Its nature makes GBDT a black-box model even though there are multiple explainable artificial intelligence (XAI) models obtaining information by reinterpreting
Externí odkaz:
http://arxiv.org/abs/2402.09197
Autor:
García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Casteleiro-Roca, José-Luis, Jove, Esteban, Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Quintián, Héctor, Calvo-Rolle, José Luis
Publikováno v:
Cybernetics and Systems, Volume 54, Issue 3, pages 286-305, 2023
This work addresses the performance comparison between four clustering techniques with the objective of achieving strong hybrid models in supervised learning tasks. A real dataset from a bio-climatic house named Sotavento placed on experimental wind
Externí odkaz:
http://arxiv.org/abs/2402.06921
Autor:
Benítez-Andrades, José Alberto, Alija-Pérez, José-Manuel, Vidal, Maria-Esther, Pastor-Vargas, Rafael, García-Ordás, María Teresa
Publikováno v:
JMIR Medical Informatics, Volume 10, Issue 2, 2022, ID e34492
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for categorizing tweets related to eating disorders. Methods: Over three mo
Externí odkaz:
http://arxiv.org/abs/2402.05571