Publications in scientific journals

• “Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?,” D. Novoa-Paradela, O. Romero-Fontenla, and B. Guijarro-Berdiñas. Engineering Applications of Artificial Intelligence 2024. 

• “Fast Deep Autoencoder for Federated learning,” D. Novoa-Paradela, O. Romero-Fontenla, and B. Guijarro-Berdiñas, Pattern Recognition, 2023. 

• “A One-Class Classification method based on Expanded Non-Convex Hulls,” D. Novoa-Paradela, O. Fontenla-Romero, and B. Guijarro-Berdiñas, Information Fusion, 2023.

• “SOPRENE: Assessment of the Spanish Armada’s Predictive Maintenance Tool for Naval Assets,” D. Fernández-Barrero, O. Fontenla-Romero, F. Lamas-López, D. Novoa-Paradela, M. D. R-Moreno, and D. Sanz, Applied Sciences, 2021.

Publications in scientific congresses

• "A Federated Learning architecture for Anomaly Detection on the Edge using Deep Autoencoders" D. Novoa-Paradela, O. Fontenla-Romero and B. Guijarro-Berdiñas, 31th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE-2023), París, France, 2023.

• "Predictive Maintenance of Naval Assets Using Machine Learning Techniques," F. Lamas-López, D. Novoa-Paradela, C. Eiras-Franco, O. Fontenla-Romero, and  D. Sanz Muñoz, 15th NATO Operations Research & Analysis Conference, 2022.

• "Caracterización de conjuntos de puntos mediante cierres no convexos subdivisibles," D. Novoa-Paradela, O. Fontenla-Romero and B. Guijarro-Berdiñas, VI Congreso Español de Informática: XIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Málaga, España, 2021.

• "Online learning for anomaly detection via subdivisible convex hulls," D. Novoa-Paradela, O. Fontenla-Romero and B. Guijarro-Berdiñas, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020.

• “Mantenimiento predictivo de motores de buques mediante aprendizaje automático,” D. Novoa-Paradela, C. Eiras Franco, O. Fontenla-Romero, and F. Lamas López, VIII Congreso Nacional de I+D En Defensa y Seguridad (DESEi+d 2020), León, España, 2020.

• “Adaptive Real-Time Method for Anomaly Detection Using Machine Learning,” D. Novoa-Paradela, O. Fontenla-Romero, and B. Guijarro-Berdiñas, 3rd XoveTIC Conference, A Coruña, España, 2020.