A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis. - José Alberto Benítez; José Emilio Labra Gayo; Enedina Quiroga; Vicente Martín; Isaías García 001; Pilar Marqués-Sánchez; Carmen Benavides (Comput. Math. Methods Medicine, 2017)

A FIPA-Compliant Framework for Integrating Rule Engines into Software Agents for Supporting Communication and Collaboration in a Multiagent Platform. - Francisco J. Aguayo-Canela; Héctor Alaiz-Moretón; Isaías García-Rodríguez; Carmen Benavides-Cuellar; José Alberto Benítez-Andrades; Paulo Novais (WorldCIST (2), 2019)

Data of a Social Network Analysis using OntoSNAQA and other conventional tools (UCINET, Pajek, Cytoscape and Gephi). - José Alberto Benítez-Andrades (IEEE DataPort, 2019)

OntoSNAQA - Multi-domain ontology for social network analysis. - José Alberto Benítez-Andrades (IEEE DataPort, 2019)

A Responsive Web Application for the Improvement of Healthy Habits in the Child Population. - José Alberto Benítez-Andrades; Marta Martínez-Martínez; Isaías García-Rodríguez; Carmen Benavides; Carlos Fernández-San-Juan; Pilar Marqués-Sánchez (HEALTHINF, 2020)

Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation. - 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 (HAIS, 2020)

Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation. - 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 (SOCO, 2020)

Analyzing IoT-Based Botnet Malware Activity with Distributed Low Interaction Honeypots. - Sergio Vidal-González; Isaías García-Rodríguez; Héctor Alaiz-Moretón; Carmen Benavides-Cuellar; José Alberto Benítez-Andrades; María Teresa García-Ordás; Paulo Novais (WorldCIST (2), 2020)

Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies. - José Alberto Benítez-Andrades; Isaías García-Rodríguez; Carmen Benavides; Héctor Alaiz-Moretón; Alejandro Rodríguez González (Future Gener. Comput. Syst., 2020)

An ontology-based multi-domain model in social network analysis: Experimental validation and case study. - José Alberto Benítez-Andrades; Isaías García-Rodríguez; Carmen Benavides; Héctor Alaiz-Moretón; José Emilio Labra Gayo (Inf. Sci., 2020)

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; Marta Martínez-Martínez; Isaías García-Rodríguez (Sensors, 2020)

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data. - María Teresa García-Ordás; José Alberto Benítez-Andrades; Isaías García-Rodríguez; Carmen Benavides; Héctor Alaiz-Moretón (Sensors, 2020)

Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study. - Pilar Marqués-Sánchez; Cristina Liébana-Presa; José Alberto Benítez-Andrades; Raquel Gundín-Gallego; Lorena Álvarez-Barrio; Pablo Rodríguez-Gonzálvez (Sensors, 2020)

BERT Model-Based Approach For Detecting Categories of Tweets in the Field of Eating Disorders (ED). - José Alberto Benítez-Andrades; José-Manuel Alija-Pérez; Isaías García-Rodríguez; Carmen Benavides; Héctor Alaiz-Moretón; Rafael Pastor Vargas; María Teresa García-Ordás (CBMS, 2021)

BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data. - José Alberto Benítez-Andrades; Álvaro González-Jiménez; Álvaro López-Brea; Carmen Benavides; Jose Aveleira-Mata; José-Manuel Alija-Pérez; María Teresa García-Ordás (MTSR, 2021)

Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network. - María Teresa García-Ordás; Héctor Alaiz-Moretón; José Alberto Benítez-Andrades; Isaías García-Rodríguez; Oscar García-Olalla; Carmen Benavides (Biomed. Signal Process. Control., 2021)

Middleware-based multi-agent development environment for building and testing distributed intelligent systems. - Francisco J. Aguayo-Canela; Héctor Alaiz-Moretón; María Teresa García-Ordás; José Alberto Benítez-Andrades; Carmen Benavides; Paulo Novais; Isaías García-Rodríguez (Clust. Comput., 2021)

Diabetes detection using deep learning techniques with oversampling and feature augmentation. - María Teresa García-Ordás; Carmen Benavides; José Alberto Benítez-Andrades; Héctor Alaiz-Moretón; Isaías García-Rodríguez (Comput. Methods Programs Biomed., 2021)

Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments. - Francisco J. Aguayo-Canela; Héctor Alaiz-Moretón; María Teresa García-Ordás; José Alberto Benítez-Andrades; Carmen Benavides; Isaías García-Rodríguez (J. Supercomput., 2021)

Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data. - Martín Bayón-Gutiérrez; José Alberto Benítez-Andrades; Sergio Rubio-Martín; Jose Aveleira-Mata; Héctor Alaiz-Moretón; María Teresa García-Ordás (HAIS, 2022)

Implementing local-explainability in Gradient Boosting Trees: Feature Contribution. - Ángel Delgado-Panadero; Beatriz Hernández-Lorca; María Teresa García-Ordás; José Alberto Benítez-Andrades (Inf. Sci., 2022)

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT. - José Alberto Benítez-Andrades; Álvaro González-Jiménez; Álvaro López-Brea; Jose Aveleira-Mata; José-Manuel Alija-Pérez; María Teresa García-Ordás (PeerJ Comput. Sci., 2022)

Detection of cerebral ischaemia using transfer learning techniques. - Cristina Antón-Munárriz; Rafael Pastor Vargas; Juan Mario Haut; Antonio Robles-Gómez; Mercedes Eugenia Paoletti; José Alberto Benítez-Andrades (CBMS, 2023)

Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts. - Sergio Rubio-Martín; María Teresa García-Ordás; Martín Bayón-Gutiérrez; Natalia Prieto-Fernández; José Alberto Benítez-Andrades (CBMS, 2023)

Heart disease risk prediction using deep learning techniques with feature augmentation. - María Teresa García-Ordás; Martín Bayón-Gutiérrez; Carmen Benavides; Jose Aveleira-Mata; José Alberto Benítez-Andrades (Multim. Tools Appl., 2023)

Survival and grade of the glioma prediction using transfer learning. - Santiago Valbuena Rubio; María Teresa García-Ordás; Oscar García-Olalla Olivera; Héctor Alaiz-Moretón; María-Inmaculada González-Alonso; José Alberto Benítez-Andrades (PeerJ Comput. Sci., 2023)

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. - José Alberto Benítez-Andrades; María Teresa García-Ordás; Mayra Russo; Ahmad Sakor; Luis Daniel Fernandes Rotger; Maria-Esther Vidal (Semantic Web, 2023)

Weighted Conformal LiDAR-Mapping for Structured SLAM. - Natalia Prieto-Fernández; Sergio Fernández-Blanco; Álvaro Fernández-Blanco; José Alberto Benítez-Andrades; Francisco Carro-De-Lorenzo; Carmen Benavides (IEEE Trans. Instrum. Meas., 2023)

Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System. - 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 (Cybern. Syst., 2023)

Leadership and contagion by COVID-19 among residence hall students: A social network analysis approach. - Pilar Marqués-Sánchez; María Cristina Martínez-Fernández; Raquel Leirós-Rodríguez; Óscar Rodríguez-Nogueira; Elena Fernández-Martínez; José Alberto Benítez-Andrades (Soc. Networks, 2023)

A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF). - Ángel Delgado-Panadero; José Alberto Benítez-Andrades; María Teresa García-Ordás (Appl. Intell., 2023)

Multispecies bird sound recognition using a fully convolutional neural network. - María Teresa García-Ordás; Sergio Rubio-Martín; José Alberto Benítez-Andrades; Héctor Alaiz-Moretón; Isaías García-Rodríguez (Appl. Intell., 2023)

Machine Learning in Predicting the Success of Spine Surgery: A Multivariable Study. - 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; Camino Prada-García (CBMS, 2024)

Analysis and Detection of Melanoma through Collective Intelligence with AI. - Enrique Fernández-Morales; Carlos Luis Sánchez-Bocanegra; Rafael Pastor Vargas; José-Juan Pereyra-Rodriguez; Juan Mario Haut; José Alberto Benítez-Andrades (CBMS, 2024)

Comparison of Uncertainties in 2D LiDAR Mapping Depending on the Sensor Scanning Frequency. - Natalia Prieto-Fernández; Sergio Fernández-Blanco; Álvaro Fernández-Blanco; José Alberto Benítez-Andrades; Francisco Carro-De-Lorenzo; Carmen Benavides (ICECET, 2024)

Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques. - Pilar Marqués-Sánchez; María Cristina Martínez-Fernández; José Alberto Benítez-Andrades; Enedina Quiroga-Sánchez; María Teresa García-Ordás; Natalia Arias-Ramos (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. - José Alberto Benítez-Andrades; José-Manuel Alija-Pérez; Maria-Esther Vidal; Rafael Pastor Vargas; María Teresa García-Ordás (CoRR, 2024)

eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study. - Carmen Benavides; José Alberto Benítez-Andrades; Pilar Marqués-Sánchez; Natalia Arias (CoRR, 2024)

Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach. - Pilar Marqués-Sánchez; Arrate Pinto-Carral; Tania Fernández-Villa; Ana Vázquez-Casares; Cristina Liébana-Presa; José Alberto Benítez-Andrades (CoRR, 2024)

A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence. - José Alberto Benítez-Andrades; Tania Fernández-Villa; Carmen Benavides; Andrea Gayubo-Serrenes; Vicente Martín; Pilar Marqués-Sánchez (CoRR, 2024)

The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis. - Pilar Marqués-Sánchez; José Alberto Benítez-Andrades; María Dolores Calvo Sánchez; Natalia Arias (CoRR, 2024)

Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques. - José Alberto Benítez-Andrades; María Teresa García-Ordás; María Álvarez-González; Raquel Leirós-Rodríguez; Ana F. López Rodríguez (CoRR, 2024)

A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies. - José Alberto Benítez-Andrades; Alejandro Rodríguez González; Carmen Benavides; Leticia Sánchez-Valdeón; Isaías García 001 (CoRR, 2024)

Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19. - María Teresa García-Ordás; Natalia Arias; Carmen Benavides; Oscar García-Olalla; José Alberto Benítez-Andrades (CoRR, 2024)

Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study. - José Alberto Benítez-Andrades; Camino Prada-García; Rubén García-Fernández; María D. Ballesteros-Pomar; María-Inmaculada González-Alonso; Antonio Serrano-García (CoRR, 2024)

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection. - Martín Bayón-Gutiérrez; María Teresa García-Ordás; Héctor Alaiz-Moretón; Jose Aveleira-Mata; Sergio Rubio-Martín; José Alberto Benítez-Andrades (CoRR, 2024)

Conditional Weighted Linear Fitting for 2D-LiDAR-Mapping of Indoor SLAM. - Natalia Prieto-Fernández; Sergio Fernández-Blanco; Álvaro Fernández-Blanco; José Alberto Benítez-Andrades; Francisco Carro-De-Lorenzo; Carmen Benavides (IEEE Trans. Ind. Informatics, 2024)

Determining the severity of Parkinson's disease in patients using a multi task neural network. - María Teresa García-Ordás; José Alberto Benítez-Andrades; Jose Aveleira-Mata; José-Manuel Alija-Pérez; Carmen Benavides (Multim. Tools Appl., 2024)

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; Natalia Prieto-Fernández; José Alberto Benítez-Andrades (Health Inf. Sci. Syst., 2024)

Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes. - Sergio Rubio-Martín; Arturo Crespo-Álvaro; María Teresa García-Ordás; Antonio Serrano-García; Clara Margarita Franch-Pato; José Alberto Benítez-Andrades (CBMS, 2025)

AI-Driven Survival Prediction in Pancreatic Cancer. - Sergio Rubio-Martín; María Teresa García-Ordás; David Corral Fontecha; Laura López-González; Gonzalo Alonso-Oláiz; Arturo Crespo-Álvaro; José Alberto Benítez-Andrades (CBMS, 2025)

Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach. - Sergio Rubio-Martín; María Teresa García-Ordás; Antonio Serrano-García; Clara Margarita Franch-Pato; Arturo Crespo-Álvaro; José Alberto Benítez-Andrades (PeerJ Comput. Sci., 2025)

CAD2SLAM: Adaptive Projection Between CAD Blueprints and SLAM Maps. - Martín Bayón-Gutiérrez; Natalia Prieto-Fernández; María Teresa García-Ordás; José Alberto Benítez-Andrades; Héctor Alaiz-Moretón; Giorgio Grisetti (IEEE Robotics Autom. Lett., 2025)

Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods. - José Alberto Benítez-Andrades; Camino Prada-García; Nicolás Ordás-Reyes; Marta Esteban Blanco; Alicia Merayo; Antonio Serrano-García (Health Inf. Sci. Syst., 2025)

Cerebral ischemia detection using deep learning techniques. - Rafael Pastor Vargas; Cristina Antón-Munárriz; Juan Mario Haut; Antonio Robles-Gómez; Mercedes Eugenia Paoletti; José Alberto Benítez-Andrades (Health Inf. Sci. Syst., 2025)