Investigación

Rubio, S. V., García-Ordás, M. T., Olivera, O. G.-O., Alaiz-Moretón, H., González-Alonso, M.-I., & Benítez-Andrades, J. A. (2023). Survival and grade of the glioma prediction using transfer learning. PeerJ Computer Science, 9, e1723. https://doi.org/10.7717/peerj-cs.1723

Prieto-Fernández, N., Fernández-Blanco, S., Fernández-Blanco, Á., Benítez-Andrades, J. A., Carro-De-Lorenzo, F., & Benavides, C. (2023). Weighted Conformal LiDAR-Mapping for Structured SLAM. IEEE Transactions on Instrumentation and Measurement, 72, 1–10. https://doi.org/10.1109/TIM.2023.3284143

Marqués-Sánchez, P., Martínez-Fernández, M. C., Benítez-Andrades, J. A., Quiroga-Sánchez, E., García-Ordás, M. T., & Arias-Ramos, N. (2023). Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques. PLOS ONE, 18(8), e0289553. https://doi.org/10.1371/journal.pone.0289553

Marqués-Sánchez, P., Martínez-Fernández, M. C., Leirós-Rodríguez, R., Rodríguez-Nogueira, Ó., Fernández-Martínez, E., & Benítez-Andrades, J. A. (2023). Leadership and contagion by COVID-19 among residence hall students: A social network analysis approach. Social Networks, 73, 80–88. https://doi.org/10.1016/j.socnet.2023.01.001

Marqués-Sánchez, P., Bermejo-Martínez, D., Quiroga Sánchez, E., Calvo-Ayuso, N., Liébana-Presa, C., & Benítez-Andrades, J. A. (2023). Men who have sex with men: An approach to social network analysis. Public Health Nursing, 40(1), 73–79. https://doi.org/10.1111/phn.13138

García-Ordás, M. T., Rubio-Martín, S., Benítez-Andrades, J. A., Alaiz-Moretón, H., & García-Rodríguez, I. (2023). Multispecies bird sound recognition using a fully convolutional neural network. Applied Intelligence. https://doi.org/10.1007/s10489-023-04704-3

García-Ordás, M. T., Benítez-Andrades, J. A., Aveleira-Mata, J., Alija-Pérez, J.-M., & Benavides, C. (2023). Determining the severity of Parkinson’s disease in patients using a multi task neural network. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-14932-x

García-Ordás, M. T., Bayón-Gutiérrez, M., Benavides, C., Aveleira-Mata, J., & Benítez-Andrades, J. A. (2023). Heart disease risk prediction using deep learning techniques with feature augmentation. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-14817-z

García-Ordás, M. T., Alaiz-Moretón, H., Casteleiro-Roca, J.-L., Jove, E., Benítez-Andrades, J. A., García-Rodríguez, I., Quintián, H., & Calvo-Rolle, J. L. (2023). Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System. Cybernetics and Systems, 54(3), 286–305. https://doi.org/10.1080/01969722.2022.2030006

Delgado-Panadero, Á., Benítez-Andrades, J. A., & García-Ordás, M. T. (2023). A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF). Applied Intelligence. https://doi.org/10.1007/s10489-023-04735-w

Benítez-Andrades, J. A., García-Ordás, M. T., Russo, M., Sakor, A., Fernandes Rotger, L. D., & Vidal, M.-E. (2023). Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web, 14(5), 873–892. https://doi.org/10.3233/SW-223269

Prada-García, C., & Benítez-Andrades, J. A. (2022). Evaluation of the Satisfaction of Patients Seen in the Dermatology Department of a Spanish Tertiary Hospital. Healthcare, 10(8), 1560. https://doi.org/10.3390/healthcare10081560

Delgado-Panadero, Á., Hernández-Lorca, B., García-Ordás, M. T., & Benítez-Andrades, J. A. (2022). Implementing local-explainability in Gradient Boosting Trees: Feature Contribution. Information Sciences. https://doi.org/10.1016/j.ins.2021.12.111

Benítez-Andrades, J. A., García-Ordás, M. T., Álvarez-González, M., Leirós-Rodríguez, R., & López Rodríguez, A. F. (2022). Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques. DIGITAL HEALTH, 8, 20552076221111290. https://doi.org/10.1177/20552076221111289

Benítez-Andrades, J. A., González-Jiménez, Á., López-Brea, Á., Aveleira-Mata, J., Alija-Pérez, J.-M., & García-Ordás, M. T. (2022). Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT. PeerJ Computer Science, 8, e906. https://doi.org/10.7717/peerj-cs.906

Benítez-Andrades, J. A., Alija-Pérez, J.-M., Vidal, M.-E., Pastor-Vargas, R., & García-Ordás, M. T. (2022). Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. JMIR Medical Informatics, 10(2), e34492. https://doi.org/10.2196/34492

Rodríguez-Nogueira, Ó., Leirós-Rodríguez, R., Benítez-Andrades, J. A., Álvarez-Álvarez, M. J., Marqués-Sánchez, P., & Pinto-Carral, A. (2021). Musculoskeletal Pain and Teleworking in Times of the COVID-19: Analysis of the Impact on the Workers at Two Spanish Universities. International Journal of Environmental Research and Public Health, 18(1), 31. https://doi.org/10.3390/ijerph18010031

Marqués-Sánchez, P., Pinto-Carral, A., Fernández-Villa, T., Vázquez-Casares, A., Liébana-Presa, C., & Benítez-Andrades, J. A. (2021). Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach. Scientific Reports, 11(1), 22055. https://doi.org/10.1038/s41598-021-01390-4

Marqués-Sánchez, P., Benítez-Andrades, J. A., Calvo Sánchez, M. D., & Arias, N. (2021). The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis. BMJ Open, 11(3), e042773. https://doi.org/10.1136/bmjopen-2020-042773

García-Ordás, M. T., Alaiz-Moretón, H., Benítez-Andrades, J. A., García-Rodríguez, I., García-Olalla, O., & Benavides, C. (2021). Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network. Biomedical Signal Processing and Control, 69, 102946. https://doi.org/10.1016/j.bspc.2021.102946

García-Ordás, M. T., Benavides, C., Benítez-Andrades, J. A., Alaiz-Moretón, H., & García-Rodríguez, I. (2021). Diabetes detection using deep learning techniques with oversampling and feature augmentation. Computer Methods and Programs in Biomedicine, 202, 105968. https://doi.org/10.1016/j.cmpb.2021.105968

García-García, E., Martínez-Gimeno, M.-L., Benítez-Andrades, J. A., Miranda-Gómez, J., Zapata-Cornejo, E. de D., & Escobar-Aguilar, G. (2021). Substance Use and Addictive Behavior in Spanish Adolescents in Secondary School. Healthcare, 9(2), 186. https://doi.org/10.3390/healthcare9020186

Dehesa Fontecilla, M. A., Fernandez, N., Aláiz-Moretón, H., Sánchez-Valdeón, L., & Benítez-Andrades, J. A. (2021). Tasa de retorno y características asistenciales de pacientes mayores de 65 años en un servicio de Urgencias en Atención Primaria. Atención Primaria, 53(8), 102084. https://doi.org/10.1016/j.aprim.2021.102084

Benítez-Andrades, J. A., Fernández-Villa, T., Benavides, C., Gayubo-Serrenes, A., Martín, V., & Marqués-Sánchez, P. (2021). A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence. Scientific Reports, 11(1), 14877. https://doi.org/10.1038/s41598-021-94383-2

Benítez-Andrades, J. A., Benavides, C., García-Rodríguez, I., Marqués-Sánchez, P., & Reguera-García, M. (2021). Cooperative Work among Computer Engineering and Health Sciences Undergraduates: A Case Study. International Journal of Engineering Education, 37(1), 163–171. https://doi.org/10.5281/ZENODO.3952914

Benavides, C., Benítez-Andrades, J. A., Marqués-Sánchez, P., & Arias, N. (2021). eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study. JMIR MHealth and UHealth, 9(2), e20217. https://doi.org/10.2196/20217

Aveleira Mata, J., Muñoz Castañeda, A. L., García Ordás, M. T., Benavides Cuellar, C., Benítez Andrades, J. A., & Alaiz Moreton, H. (2021). IDS PROTOTYPE FOR INTRUSION DETECTION WITH MACHINE LEARNING MODELS IN IOT SYSTEMS OF THE INDUSTRY 4.0. DYNA, 96(3), 270–275. https://doi.org/10.6036/10011

Aguayo-Canela, F. J., Alaiz-Moretón, H., García-Ordás, M. T., Benítez-Andrades, J. A., Benavides, C., Novais, P., & García-Rodríguez, I. (2021). Middleware-based multi-agent development environment for building and testing distributed intelligent systems. Cluster Computing. https://doi.org/10.1007/s10586-021-03270-y

Aguayo-Canela, F. J., Alaiz-Moretón, H., García-Ordás, M. T., Benítez-Andrades, J. A., Benavides, C., & García-Rodríguez, I. (2021). Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments. The Journal of Supercomputing. https://doi.org/10.1007/s11227-021-03797-2

Tortajada-Soler, M., Sánchez-Valdeón, L., Blanco-Nistal, M., Benítez-Andrades, J. A., Liébana-Presa, C., & Bayón-Darkistade, E. (2020). Prevalence of Comorbidities in Individuals Diagnosed and Undiagnosed with Alzheimer’s Disease in León, Spain and a Proposal for Contingency Procedures to Follow in the Case of Emergencies Involving People with Alzheimer’s Disease. International Journal of Environmental Research and Public Health, 17(10), 3398. https://doi.org/10.3390/ijerph17103398

Prada-García, C., Gonzalo-Orden, J. M., Benítez-Andrades, J. A., & Carvajal-Urueña, A. (2020). Inpatient dermatology consultations in a tertiary care hospital in Spain: A retrospective study of 750 patients. Revista Clínica Española (English Edition), 220(7), 426–431. https://doi.org/10.1016/j.rceng.2019.07.017

Marqués-Sánchez, P., Liébana-Presa, C., Benítez-Andrades, J. A., Gundín-Gallego, R., Álvarez-Barrio, L., & Rodríguez-Gonzálvez, P. (2020). Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study. Sensors, 20(9), 2502. https://doi.org/10.3390/s20092502

Marqués-Sánchez, P., Quiroga Sánchez, E., Liébana-Presa, C., Fernández-Martínez, E., García-Rodríguez, I., & Benítez-Andrades, J. A. (2020). The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments. PLOS ONE, 15(11), e0241135. https://doi.org/10.1371/journal.pone.0241135

Marqués-Sánchez, P., García-Rodríguez, I., Benítez-Andrades, J. A., Fulgueiras-Carril, I., Fernández-Sierra, P., & Fernández-Martínez, E. (2020). Networks and Emotions in Cooperative Work: A Quasi-Experimental Study in University Nursing and Computer Engineering Students. Healthcare, 8(3), 220. https://doi.org/10.3390/healthcare8030220

Liébana-Presa, C., Martínez-Fernández, M. C., Benítez-Andrades, J. A., Fernández-Martínez, E., Marqués-Sánchez, P., & García-Rodríguez, I. (2020). Stress, Emotional Intelligence and the Intention to Use Cannabis in Spanish Adolescents: Influence of COVID-19 Confinement. Frontiers in Psychology, 11, 582578. https://doi.org/10.3389/fpsyg.2020.582578

Leirós-Rodríguez, R., Rodríguez-Nogueira, Ó., Pinto-Carral, A., Álvarez-Álvarez, M. J., Galán-Martín, M. Á., Montero-Cuadrado, F., & Benítez-Andrades, J. A. (2020). Musculoskeletal Pain and Non-Classroom Teaching in Times of the COVID-19 Pandemic: Analysis of the Impact on Students from Two Spanish Universities. Journal of Clinical Medicine, 9(12), 4053. https://doi.org/10.3390/jcm9124053

García-Ordás, M. T., Benítez-Andrades, J. A., García-Rodríguez, I., Benavides, C., & Alaiz-Moretón, H. (2020). Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data. Sensors, 20(4), 1214. https://doi.org/10.3390/s20041214

García-Ordás, M. T., Arias, N., Benavides, C., García-Olalla, O., & Benítez-Andrades, J. A. (2020). Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19. Healthcare, 8(4), 371. https://doi.org/10.3390/healthcare8040371

Benítez-Andrades, J. A., García-Rodríguez, I., Benavides, C., Alaiz-Moretón, H., & Rodríguez-González, A. (2020). Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies. Future Generation Computer Systems, 106, 154–170. https://doi.org/10.1016/j.future.2020.01.002

Benítez-Andrades, J. A., Arias, N., García-Ordás, M. T., Martínez-Martínez, M., & García-Rodríguez, I. (2020). Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children. Sensors, 20(5), 1404. https://doi.org/10.3390/s20051404

Benítez-Andrades, J. A., García-Rodríguez, I., Benavides, C., Alaiz-Moretón, H., & Labra Gayo, J. E. (2020). An ontology-based multi-domain model in social network analysis: Experimental validation and case study. Information Sciences, 540, 390–413. https://doi.org/10.1016/j.ins.2020.06.008

Marqués-Sánchez, García-Rodríguez, Benítez-Andrades, Portillo, Pérez-Paniagua, & Reguera-García. (2019). A Cooperative Interdisciplinary Task Intervention with Undergraduate Nursing and Computer Engineering Students. Sustainability, 11(22), 6325. https://doi.org/10.3390/su11226325

Alaiz-Moretón, H., Jove, E., Casteleiro-Roca, J.-L., Quintián, H., López García, H., Benítez-Andrades, J. A., Novais, P., & Calvo-Rolle, J. L. (2019). Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System. Processes, 7(11), 825. https://doi.org/10.3390/pr7110825

Benítez-Andrades, J., Rodríguez-González, A., Benavides, C., Sánchez-Valdeón, L., & García, I. (2018). A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies. International Journal of Environmental Research and Public Health, 15(11), 2420. https://doi.org/10.3390/ijerph15112420

Arias, N., Calvo, M., Benítez-Andrades, J., Álvarez, M., Alonso-Cortés, B., & Benavides, C. (2018). Socioeconomic Status in Adolescents: A Study of Its Relationship with Overweight and Obesity and Influence on Social Network Configuration. International Journal of Environmental Research and Public Health, 15(9), 2014. https://doi.org/10.3390/ijerph15092014

Quiroga, E., García, I., Benítez-Andrades, J., Benavides, C., Martín, V., & Marqués-Sánchez, P. (2017). A Qualitative Study of Secondary School Teachers’ Perception of Social Network Analysis Metrics in the Context of Alcohol Consumption among Adolescents. International Journal of Environmental Research and Public Health, 14(12), 1531. https://doi.org/10.3390/ijerph14121531

Benítez, J. A., Labra, J. E., Quiroga, E., Martín, V., García, I., Marqués-Sánchez, P., & Benavides, C. (2017). A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis. Computational and Mathematical Methods in Medicine, 2017, 1–8. https://doi.org/10.1155/2017/2579848