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Sanchez-Zas, C., Villagrá, V.A., Vega-Barbas, M., Larriva-Novo, X., Moreno, J.I., Berrocal, J. (2023). Ontology-based approach to real-time risk management and cyber-situational awareness. Future Generation Computer Systems, Volume 141, 462-472, ISSN 0167-739X. Elsevier. |
JCR, Q1 |
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Solera-Cotanilla, S.,Vega-Barbas, M., Pérez, J., López, G., Matanza, J., Álvarez-Campana, M. (2022). Security and Privacy Analysis of Youth-Oriented Connected Devices. Sensors, 22(11), 3967. |
JCR, Q1 |
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Vega-Barbas, M., Álvarez-Campana, M., Rivera, D., Sanz, M., Berrocal, J. (2021). AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces. Sensors, 21, 3863 |
JCR, Q1 |
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Larriva Novo, X.A., Vega-Barbas, M., Villagrá, V., Berrocal, J. (2021). Comparative analysis and evaluation of the application of deep learning techniques to cybersecurity datasets. DYNA, 96, pp. 528-536. ISSN 0012-7361. |
JCR, Q3 |
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Larriva-Novo, X., Villagrá, V. A., Vega-Barbas, M., Rivera, D., Sanz, M. (2021). An IoT-Focused Intrusion Detection System Approach Based on Preprocessing Characterization for Cybersecurity Datasets. Sensors, 21(2), 656 |
JCR, Q1 |
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Conde, R., Vega-Barbas, M., García, C. (2020). Analizando el auge de Scratch para la enseñanza de la programación. Revisión del conocimiento científico publicado en España. Tarbiya, Revista De Innovación Educativa, (48), 7-32 |
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Larriva-Novo, X., Sánchez, C., Villagrá, V. A., Vega-Barbas, M., Rivera, D. (2020). An Approach for the Application of a Dynamic Multi-Class Classifier for Network Intrusion Detection Systems. Electronics, 9(11), 1759 |
JCR, Q3 |
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Larriva-Novo, X., Vega-Barbas, M., Villagrá, V. A., Rivera, D., Álvarez-Campana, M., & Berrocal, J. (2020). Efficient Distributed Preprocessing Model for Machine Learning-Based Anomaly Detection over Large-Scale Cybersecurity Datasets. Applied Sciences, 10(10), 3430 |
JCR, Q2 |
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Larriva-Novo, X. A., Vega-Barbas, M., Villagrá, V. A., & Rodrigo, M. S. (2020). Evaluation of Cybersecurity Data Set Characteristics for Their Applicability to Neural Networks Algorithms Detecting Cybersecurity Anomalies. IEEE Access, 8, 9005-9014 |
JCR, Q2 |
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Rivera, D., Monje, F., Villagrá, V. A., Vega-Barbas, M., Larriva-Novo, X., & Berrocal, J. (2019). Automatic Translation and Enforcement of Cybersecurity Policies Using A High-Level Definition Language. Entropy, 21(12), 1180 |
JCR, Q2 |
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Madrid-García, A., Font-Urgelles, J., Vega-Barbas, M., León-Mateos, L., Freites, D. D., Lajas, C. J., ... & Rodríguez-Rodríguez, L. (2019). Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient’s Return to the Clinic. Journal of clinical medicine, 8(8), 1156 |
JCR, Q1 |
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Vega-Barbas, M., Villagrá, V. A., Monje, F., Riesco, R., Larriva-Novo, X., & Berrocal, J. (2019). Ontology-Based System for Dynamic Risk Management in Administrative Domains. Applied Sciences, 9(21), 4547 |
JCR, Q2 |
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Vega-Barbas, M., Diaz-Olivares, J. A., Lu, K., Forsman, M., Seoane, F., & Abtahi, F. (2019). P-ergonomics platform: Toward precise, pervasive, and personalized ergonomics using wearable sensors and edge computing. sensors, 19(5), 1225 |
JCR, Q1 |
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Vega-Barbas, M., Seoane, F., & Pau, I. (2019). Characterization of User-Centered Security in Telehealth Services. International journal of environmental research and public health, 16(5), 693 |
JCR, Q2 |
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Vega-Barbas, M., Pau, I., Augusto, J. C., & Seoane, F. (2017). Interaction patterns for smart spaces: a confident interaction design solution for pervasive sensitive IoT services. IEEE Access, 6, 1126-1136 |
JCR, Q1 |
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Vega-Barbas, M., Pau, I., Ferreira, J., Lebis, E., & Seoane, F. (2015). Utilizing smart textiles-enabled sensorized toy and playful interactions for assessment of psychomotor development on children. Journal of Sensors, 2015 |
JCR, Q3 |
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Vega-Barbas, M., Pau, I., Martín-Ruiz, M. L., & Seoane, F. (2015). Adaptive software architecture based on confident HCI for the deployment of sensitive services in smart homes. Sensors, 15(4), 7294-7322 |
JCR, Q1 |