José Alberto Benítez-Andrades

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 64

Top Topics

Gradient Boosting

Machine Learning

Network Analysis

Top Venues

Multim. Tools Appl.

Publications

María Teresa García-Ordás, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data. CoRR (2024)
José Alberto Benítez-Andrades, Tania Fernández-Villa, Carmen Benavides, Andrea Gayubo-Serrenes, Vicente Martín, Pilar Marqués-Sánchez
A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence. CoRR (2024)
Pilar Marqués-Sánchez, María Cristina Martínez-Fernández, José Alberto Benítez-Andrades, Enedina Quiroga-Sánchez, María Teresa García-Ordás, Natalia Arias-Ramos
Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques. CoRR (2024)
José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. CoRR (2024)
Santiago Valbuena Rubio, María Teresa García-Ordás, Oscar García-Olalla Olivera, Héctor Alaiz-Moretón, María-Inmaculada González-Alonso, José Alberto Benítez-Andrades
Survival and grade of the glioma prediction using transfer learning. CoRR (2024)
José Alberto Benítez-Andrades, Alejandro Rodríguez González, Carmen Benavides, Leticia Sánchez-Valdeón, Isaías García
A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies. CoRR (2024)
Natalia Prieto-Fernández, Sergio Fernández-Blanco, Álvaro Fernández-Blanco, José Alberto Benítez-Andrades, Francisco Carro-De-Lorenzo, Carmen Benavides
Weighted Conformal LiDAR-Mapping for Structured SLAM. CoRR (2024)
Pilar Marqués-Sánchez, José Alberto Benítez-Andrades, María Dolores Calvo Sánchez, Natalia Arias
The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis. CoRR (2024)
María Teresa García-Ordás, José Alberto Benítez-Andrades, Jose Aveleira-Mata, José-Manuel Alija-Pérez, Carmen Benavides
Determining the severity of Parkinson's disease in patients using a multi task neural network. CoRR (2024)
María Teresa García-Ordás, Sergio Rubio-Martín, José Alberto Benítez-Andrades, Héctor Alaiz-Moretón, Isaías García-Rodríguez
Multispecies bird sound recognition using a fully convolutional neural network. CoRR (2024)
Carmen Benavides, José Alberto Benítez-Andrades, Pilar Marqués-Sánchez, Natalia Arias
eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study. CoRR (2024)
Ángel Delgado-Panadero, Beatriz Hernández-Lorca, María Teresa García-Ordás, José Alberto Benítez-Andrades
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution. CoRR (2024)
María Teresa García-Ordás, Natalia Arias, Carmen Benavides, Oscar García-Olalla, José Alberto Benítez-Andrades
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19. CoRR (2024)
Sergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez, Natalia Prieto-Fernández, José Alberto Benítez-Andrades
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing. CoRR (2024)
María Teresa García-Ordás, Martín Bayón-Gutiérrez, Carmen Benavides, Jose Aveleira-Mata, José Alberto Benítez-Andrades
Heart disease risk prediction using deep learning techniques with feature augmentation. CoRR (2024)
José Alberto Benítez-Andrades, José Emilio Labra Gayo, Enedina Quiroga, Vicente Martín, Isaías García, Pilar Marqués-Sánchez, Carmen Benavides
A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis. CoRR (2024)
Pilar Marqués-Sánchez, Cristina Liébana-Presa, José Alberto Benítez-Andrades, Raquel Gundín-Gallego, Lorena Álvarez-Barrio, Pablo Rodríguez-Gonzálvez
Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study. CoRR (2024)
José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón, Alejandro Rodríguez González
Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies. CoRR (2024)
Francisco J. Aguayo-Canela, Héctor Alaiz-Moretón, María Teresa García-Ordás, José Alberto Benítez-Andrades, Carmen Benavides, Isaías García-Rodríguez
Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments. CoRR (2024)
José Alberto Benítez-Andrades, Nicolás Ordás-Reyes, Antonio Serrano-García, Marta Esteban Blanco, Jesús Betegón Nicolás, José Viloria Gutiérrez, José Ángel Hernández Encinas, Ana Lozano Muñoz, Alicia Merayo Corcoba, Camino Prada-García
Machine Learning in Predicting the Success of Spine Surgery: A Multivariable Study. CBMS (2024)
José Alberto Benítez-Andrades, María Teresa García-Ordás, María Álvarez-González, Raquel Leirós-Rodríguez, Ana F. López Rodríguez
Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques. CoRR (2024)
Sergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez, Natalia Prieto-Fernández, José Alberto Benítez-Andrades
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing. Health Inf. Sci. Syst. 12 (1) (2024)
Francisco J. Aguayo-Canela, Héctor Alaiz-Moretón, María Teresa García-Ordás, José Alberto Benítez-Andrades, Carmen Benavides, Paulo Novais, Isaías García-Rodríguez
Middleware-based multi-agent development environment for building and testing distributed intelligent systems. CoRR (2024)
José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón, José Emilio Labra Gayo
An Ontology-Based multi-domain model in Social Network Analysis: Experimental validation and case study. CoRR (2024)
María Teresa García-Ordás, Carmen Benavides, José Alberto Benítez-Andrades, Héctor Alaiz-Moretón, Isaías García-Rodríguez
Diabetes detection using deep learning techniques with oversampling and feature augmentation. CoRR (2024)
Pilar Marqués-Sánchez, Arrate Pinto-Carral, Tania Fernández-Villa, Ana Vázquez-Casares, Cristina Liébana-Presa, José Alberto Benítez-Andrades
Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach. CoRR (2024)
María Teresa García-Ordás, Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Esteban Jove, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Héctor Quintián, José Luís Calvo-Rolle
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System. CoRR (2024)
Ángel Delgado-Panadero, José Alberto Benítez-Andrades, María Teresa García-Ordás
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF). CoRR (2024)
José Alberto Benítez-Andrades, Natalia Arias, María Teresa García-Ordás, Marta Martínez-Martínez, Isaías García-Rodríguez
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children. CoRR (2024)
José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor Vargas, María Teresa García-Ordás
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)
Enrique Fernández-Morales, Carlos Luis Sánchez-Bocanegra, Rafael Pastor Vargas, José-Juan Pereyra-Rodriguez, Juan Mario Haut, José Alberto Benítez-Andrades
Analysis and Detection of Melanoma through Collective Intelligence with AI. CBMS (2024)
Martín Bayón-Gutiérrez, María Teresa García-Ordás, Héctor Alaiz-Moretón, Jose Aveleira-Mata, Sergio Rubio-Martín, José Alberto Benítez-Andrades
TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection. CoRR (2024)
María Teresa García-Ordás, José Alberto Benítez-Andrades, Jose Aveleira-Mata, José-Manuel Alija-Pérez, Carmen Benavides
Determining the severity of Parkinson's disease in patients using a multi task neural network. Multim. Tools Appl. 83 (2) (2024)
María Teresa García-Ordás, Héctor Alaiz-Moretón, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Oscar García-Olalla, Carmen Benavides
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network. CoRR (2024)
José Alberto Benítez-Andrades, Camino Prada-García, Rubén García-Fernández, María D. Ballesteros-Pomar, María-Inmaculada González-Alonso, Antonio Serrano-García
Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study. CoRR (2024)
José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web 14 (5) (2023)
María Teresa García-Ordás, Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Esteban Jove, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Héctor Quintián, José Luís Calvo-Rolle
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System. Cybern. Syst. 54 (3) (2023)
María Teresa García-Ordás, Martín Bayón-Gutiérrez, Carmen Benavides, Jose Aveleira-Mata, José Alberto Benítez-Andrades
Heart disease risk prediction using deep learning techniques with feature augmentation. Multim. Tools Appl. 82 (20) (2023)
Pilar Marqués-Sánchez, María Cristina Martínez-Fernández, Raquel Leirós-Rodríguez, Óscar Rodríguez-Nogueira, Elena Fernández-Martínez, José Alberto Benítez-Andrades
Leadership and contagion by COVID-19 among residence hall students: A social network analysis approach. Soc. Networks 73 (2023)
Natalia Prieto-Fernández, Sergio Fernández-Blanco, Álvaro Fernández-Blanco, José Alberto Benítez-Andrades, Francisco Carro-De-Lorenzo, Carmen Benavides
Weighted Conformal LiDAR-Mapping for Structured SLAM. IEEE Trans. Instrum. Meas. 72 (2023)
Ángel Delgado-Panadero, José Alberto Benítez-Andrades, María Teresa García-Ordás
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF). Appl. Intell. 53 (19) (2023)
Cristina Antón-Munárriz, Rafael Pastor Vargas, Juan Mario Haut, Antonio Robles-Gómez, Mercedes Eugenia Paoletti, José Alberto Benítez-Andrades
Detection of cerebral ischaemia using transfer learning techniques. CBMS (2023)
Santiago Valbuena Rubio, María Teresa García-Ordás, Oscar García-Olalla Olivera, Héctor Alaiz-Moretón, María-Inmaculada González-Alonso, José Alberto Benítez-Andrades
Survival and grade of the glioma prediction using transfer learning. PeerJ Comput. Sci. 9 (2023)
Sergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez, Natalia Prieto-Fernández, José Alberto Benítez-Andrades
Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts. CBMS (2023)
María Teresa García-Ordás, Sergio Rubio-Martín, José Alberto Benítez-Andrades, Héctor Alaiz-Moretón, Isaías García-Rodríguez
Multispecies bird sound recognition using a fully convolutional neural network. Appl. Intell. 53 (20) (2023)
Ángel Delgado-Panadero, Beatriz Hernández-Lorca, María Teresa García-Ordás, José Alberto Benítez-Andrades
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution. Inf. Sci. 589 (2022)
José Alberto Benítez-Andrades, Álvaro González-Jiménez, Álvaro López-Brea, Jose Aveleira-Mata, José-Manuel Alija-Pérez, María Teresa García-Ordás
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT. PeerJ Comput. Sci. 8 (2022)
Martín Bayón-Gutiérrez, José Alberto Benítez-Andrades, Sergio Rubio-Martín, Jose Aveleira-Mata, Héctor Alaiz-Moretón, María Teresa García-Ordás
Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data. HAIS (2022)
Francisco J. Aguayo-Canela, Héctor Alaiz-Moretón, María Teresa García-Ordás, José Alberto Benítez-Andrades, Carmen Benavides, Paulo Novais, Isaías García-Rodríguez
Middleware-based multi-agent development environment for building and testing distributed intelligent systems. Clust. Comput. 24 (3) (2021)
María Teresa García-Ordás, Héctor Alaiz-Moretón, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Oscar García-Olalla, Carmen Benavides
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network. Biomed. Signal Process. Control. 69 (2021)
María Teresa García-Ordás, Carmen Benavides, José Alberto Benítez-Andrades, Héctor Alaiz-Moretón, Isaías García-Rodríguez
Diabetes detection using deep learning techniques with oversampling and feature augmentation. Comput. Methods Programs Biomed. 202 (2021)
José Alberto Benítez-Andrades, Álvaro González-Jiménez, Álvaro López-Brea, Carmen Benavides, Jose Aveleira-Mata, José-Manuel Alija-Pérez, María Teresa García-Ordás
BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data. MTSR (2021)
Francisco J. Aguayo-Canela, Héctor Alaiz-Moretón, María Teresa García-Ordás, José Alberto Benítez-Andrades, Carmen Benavides, Isaías García-Rodríguez
Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments. J. Supercomput. 77 (11) (2021)
José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón, Rafael Pastor Vargas, María Teresa García-Ordás
BERT Model-Based Approach For Detecting Categories of Tweets in the Field of Eating Disorders (ED). CBMS (2021)
José Alberto Benítez-Andrades, Marta Martínez-Martínez, Isaías García-Rodríguez, Carmen Benavides, Carlos Fernández-San-Juan, Pilar Marqués-Sánchez
A Responsive Web Application for the Improvement of Healthy Habits in the Child Population. HEALTHINF (2020)
José Alberto Benítez-Andrades, Natalia Arias, María Teresa García-Ordás, Marta Martínez-Martínez, Isaías García-Rodríguez
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children. Sensors 20 (5) (2020)
Pilar Marqués-Sánchez, Cristina Liébana-Presa, José Alberto Benítez-Andrades, Raquel Gundín-Gallego, Lorena Álvarez-Barrio, Pablo Rodríguez-Gonzálvez
Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study. Sensors 20 (9) (2020)
Sergio Vidal-González, Isaías García-Rodríguez, Héctor Alaiz-Moretón, Carmen Benavides-Cuellar, José Alberto Benítez-Andrades, María Teresa García-Ordás, Paulo Novais
Analyzing IoT-Based Botnet Malware Activity with Distributed Low Interaction Honeypots. WorldCIST (2) (2020)
José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón, José Emilio Labra Gayo
An ontology-based multi-domain model in social network analysis: Experimental validation and case study. Inf. Sci. 540 (2020)
María Teresa García-Ordás, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data. Sensors 20 (4) (2020)
María Teresa García-Ordás, Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Esteban Jove, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Héctor Quintián, José Luís Calvo-Rolle
Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation. SOCO (2020)
José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón, Alejandro Rodríguez González
Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies. Future Gener. Comput. Syst. 106 (2020)
María Teresa García-Ordás, Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Esteban Jove, José Alberto Benítez-Andrades, Carmen Benavides-Cuellar, Héctor Quintián, José Luís Calvo-Rolle
Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation. HAIS (2020)
Francisco J. Aguayo-Canela, Héctor Alaiz-Moretón, Isaías García-Rodríguez, Carmen Benavides-Cuellar, José Alberto Benítez-Andrades, Paulo Novais
A FIPA-Compliant Framework for Integrating Rule Engines into Software Agents for Supporting Communication and Collaboration in a Multiagent Platform. WorldCIST (2) (2019)