José Alberto Benítez
Orcid: 0000-0002-4450-349X
According to our database1,
José Alberto Benítez
authored at least 44 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing.
Health Inf. Sci. Syst., December, 2024
Determining the severity of Parkinson's disease in patients using a multi task neural network.
Multim. Tools Appl., January, 2024
Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study.
CoRR, 2024
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19.
CoRR, 2024
A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies.
CoRR, 2024
Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques.
CoRR, 2024
The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis.
CoRR, 2024
A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence.
CoRR, 2024
Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach.
CoRR, 2024
eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study.
CoRR, 2024
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study.
CoRR, 2024
Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques.
CoRR, 2024
2023
Appl. Intell., October, 2023
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF).
Appl. Intell., October, 2023
Leadership and contagion by COVID-19 among residence hall students: A social network analysis approach.
Soc. Networks, May, 2023
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System.
Cybern. Syst., April, 2023
IEEE Trans. Instrum. Meas., 2023
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts.
Semantic Web, 2023
PeerJ Comput. Sci., 2023
Heart disease risk prediction using deep learning techniques with feature augmentation.
Multim. Tools Appl., 2023
Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT.
PeerJ Comput. Sci., 2022
Inf. Sci., 2022
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments.
J. Supercomput., 2021
Diabetes detection using deep learning techniques with oversampling and feature augmentation.
Comput. Methods Programs Biomed., 2021
Middleware-based multi-agent development environment for building and testing distributed intelligent systems.
Clust. Comput., 2021
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network.
Biomed. Signal Process. Control., 2021
Proceedings of the Metadata and Semantic Research - 15th International Conference, 2021
BERT Model-Based Approach For Detecting Categories of Tweets in the Field of Eating Disorders (ED).
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study.
Sensors, 2020
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data.
Sensors, 2020
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children.
Sensors, 2020
An ontology-based multi-domain model in social network analysis: Experimental validation and case study.
Inf. Sci., 2020
Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies.
Future Gener. Comput. Syst., 2020
Analyzing IoT-Based Botnet Malware Activity with Distributed Low Interaction Honeypots.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
A Responsive Web Application for the Improvement of Healthy Habits in the Child Population.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
Data of a Social Network Analysis using OntoSNAQA and other conventional tools (UCINET, Pajek, Cytoscape and Gephi).
Dataset, June, 2019
A FIPA-Compliant Framework for Integrating Rule Engines into Software Agents for Supporting Communication and Collaboration in a Multiagent Platform.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019
2017
A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis.
Comput. Math. Methods Medicine, 2017