132 citations · 664 across the 24 of their papers we have counts for
24 papers
Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks
María Teresa García-Ordás, Jose Aveleira-Mata, Isaías García-Rodríguez +3
The Internet of Things (IoT) presents a unique cybersecurity challenge due to its vast network of interconnected, resource-constrained devices. These vulnerabilities not only threa…
Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach
Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García +3
The classification of clinical notes into specific diagnostic categories is critical in healthcare, especially for mental health conditions like Anxiety and Adjustment Disorder. In…
TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection
Martín Bayón-Gutiérrez, María Teresa García-Ordás, Héctor Alaiz Moretón +3
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 rec…
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
Sergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez +2
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…
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19
María Teresa García-Ordás, Natalia Arias, Carmen Benavides +2
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 hypo…
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children
José Alberto Benítez-Andrades, Natalia Arias, María Teresa García-Ordás +2
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…