| Soprene: assessment of the spanish armada’s predictive maintenance tool for naval assets D Fernández-Barrero, O Fontenla-Romero, F Lamas-López, ... Applied Sciences 11 (16), 7322, 2021 | 7 | 2021 |
| Fast deep autoencoder for federated learning D Novoa-Paradela, O Fontenla-Romero, B Guijarro-Berdiñas Pattern Recognition 143, 109805, 2023 | 2 | 2023 |
| A one-class classification method based on expanded non-convex hulls D Novoa-Paradela, O Fontenla-Romero, B Guijarro-Berdiñas Information Fusion 89, 1-15, 2023 | 2 | 2023 |
| Predictive Maintenance of Naval Assets Using Machine Learning Techniques F Lamas-López, D Novoa-Paradela, C Eiras-Franco, Ó Fontenla-Romero, ... The 15th NATO Operations Research & Analysis (OR&A), 2022 | 2 | 2022 |
| Adaptive Real-Time Method for Anomaly Detection Using Machine Learning D Novoa-Paradela, Ó Fontenla-Romero, B Guijarro-Berdiñas Proceedings 54 (1), 38, 2020 | 1 | 2020 |
| Online learning for anomaly detection via subdivisible convex hulls D Novoa-Paradela, O Fontenla-Romero, B Guijarro-Berdiñas 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 1 | 2020 |
| Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? D Novoa-Paradela, O Fontenla-Romero, B Guijarro-Berdiñas arXiv preprint arXiv:2311.04948, 2023 | | 2023 |
| Método adaptativo en tiempo real para la detección de anomalías mediante aprendizaje automático D Novoa-Paradela | | 2019 |
| Mantenimiento predictivo de motores de buques mediante aprendizaje automático DN Paradela, CE Franco, OF Romero, FL López | | |
Oscar Fontenla-RomeroFull Professor of Computer Science. University of A Coruña (Spain)Verified email at udc.es
