Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations. - Sandra Gómez Canaval; Karina Jiménez; Alfonso Ortega de la Puente; Stanislav Vakaruk (PAAMS (Special Sessions), 2016)

Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors. - Sandra Gómez Canaval; Victor Mitrana; Mihaela Paun; Stanislav Vararuk (ICAAI, 2019)

High Performance and Scalable Simulations of a Bio-inspired Computational Model. - Sandra Gómez Canaval; Victor Mitrana; Mihaela Paun; Stanislav Vararuk (HPCS, 2019)

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning. - Antonio Pastor 001; Alberto Mozo; Stanislav Vakaruk; Daniele Canavese; Diego R. López; Leonardo Regano; Sandra Gómez Canaval; Antonio Lioy (IEEE Access, 2020)

A Digital Twin Network for Security Training in 5G Industrial Environments. - Stanislav Vakaruk; Alberto Mozo; Antonio Pastor 001; Diego R. López (DTPI, 2021)

Forecasting Automated Guided Vehicle Malfunctioning with Deep Learning in a 5G-Based Industry 4.0 Scenario. - Stanislav Vakaruk; Jesús Enrique Sierra-García; Alberto Mozo; Antonio Pastor 001 (IEEE Commun. Mag., 2021)

A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS). - Christoph Mertens; Jesús Alonso; Óscar Lázaro; Charaka Palansuriya; Gernot Böge; Alexandros Nizamis; Vaia Rousopoulou; Dimosthenis Ioannidis; Dimitrios Tzovaras; Rizkallah Touma; Miquel Tarzan; Diego Mallada; et al. (Data Spaces, 2022)

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case. - Stanislav Vakaruk; Amit Karamchandani; Jesús Enrique Sierra-García; Alberto Mozo; Sandra Gómez Canaval; Antonio Pastor 001 (Sensors, 2023)

Using N-BEATS ensembles to predict automated guided vehicle deviation. - Amit Karamchandani; Alberto Mozo; Stanislav Vakaruk; Sandra Gómez Canaval; Jesús Enrique Sierra-García; Antonio Pastor 001 (Appl. Intell., 2023)

Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. - Silvia Martín-Suazo; Jesús Morón-López; Stanislav Vakaruk; Amit Karamchandani; Juan Antonio Pascual Aguilar; Alberto Mozo; Sandra Gómez Canaval; Meritxell Vinyals; Juan Manuel Ortiz (Knowl. Based Syst., 2024)

Anticipatory analysis of AGV trajectory in a 5G network using machine learning. - Alberto Mozo; Stanislav Vakaruk; Jesús Enrique Sierra-García; Antonio Pastor 001 (J. Intell. Manuf., 2024)