| Detection of encrypted cryptomining malware connections with machine and deep learning A Pastor, A Mozo, S Vakaruk, D Canavese, DR López, L Regano, ... IEEE Access 8, 158036-158055, 2020 | 62 | 2020 |
| Chlorophyll soft-sensor based on machine learning models for algal bloom predictions A Mozo, J Morón-López, S Vakaruk, ÁG Pompa-Pernía, ... Scientific Reports 12 (1), 13529, 2022 | 31 | 2022 |
| Forecasting automated guided vehicle malfunctioning with deep learning in a 5G-based industry 4.0 scenario S Vakaruk, JE Sierra-García, A Mozo, A Pastor IEEE Communications Magazine 59 (11), 102-108, 2021 | 27 | 2021 |
| A digital twin network for security training in 5G industrial environments S Vakaruk, A Mozo, A Pastor, DR López 2021 IEEE 1st International Conference on Digital Twins and Parallel …, 2021 | 27 | 2021 |
| A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) C Mertens, J Alonso, O Lázaro, C Palansuriya, G Böge, A Nizamis, ... Data Spaces, 201-226, 2022 | 16 | 2022 |
| Transformers for multi-horizon forecasting in an industry 4.0 use case S Vakaruk, A Karamchandani, JE Sierra-García, A Mozo, ... Sensors 23 (7), 3516, 2023 | 9 | 2023 |
| Using N-BEATS ensembles to predict automated guided vehicle deviation A Karamchandani, A Mozo, S Vakaruk, S Gómez-Canaval, ... Applied Intelligence 53 (21), 26139-26204, 2023 | 5 | 2023 |
| Anticipatory analysis of AGV trajectory in a 5G network using machine learning A Mozo, S Vakaruk, JE Sierra-García, A Pastor Journal of Intelligent Manufacturing 35 (4), 1541-1569, 2024 | 3 | 2024 |
| Cloud-Scale SDN Network Security in TeraFlow A Mozo, S Vakaruk, A Pastor, R Bobba, C Natalino, M Furdek, R Muñoz, ... European Conference on Networks and Communications & 6G Summit (EuCNC 2021), 2021 | 3 | 2021 |
| High performance and scalable simulations of a bio-inspired computational model S Gómez-Canaval, V Mitrana, M Păun, S Vararuk 2019 International Conference on High Performance Computing & Simulation …, 2019 | 3 | 2019 |
| Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors S Gomez-Canaval, V Mitrana, M Paun, S Vararuk Proceedings of the 3rd International Conference on Advances in Artificial …, 2019 | 2 | 2019 |
| Towards quantitative networks of polarized evolutionary processors: A bio-inspired computational model with numerical evaluations SG Canaval, K Jiménez, AO de la Puente, S Vakaruk International Conference on Practical Applications of Agents and Multi-Agent …, 2016 | 2 | 2016 |
| Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms S Martín-Suazo, J Morón-López, S Vakaruk, A Karamchandani, ... Knowledge-Based Systems 301, 112279, 2024 | 1 | 2024 |
| Contribuciones a la Aplicación de Machine Learning en Escenarios Novedosos de Tiempo Real S Vakaruk ETSI_Sistemas_Infor, 2023 | | 2023 |
| SPIDER: ML Applied to 5G Network Cyber Range S Vakaruk, A Mozo, A Pastor European Conference on Networks and Communications & 6G Summit (EuCNC 2021), 2021 | | 2021 |