Juan José Fuertes

18 papers C 7Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comprehensive study of incremental input-to-state stability in echo state networks: Hyperparameter influence and stability promotion in reduced models.
Neurocomputing
Guzmán González-Mateos, Antonio Morán, Miguel A. Prada, Juan José Fuertes, Serafín Alonso, Manuel Domínguez
2026 J jnl
Embedded deep reservoir computing for modelling complex industrial systems.
Integr. Comput. Aided Eng.
José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
2025 J jnl
Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop.
Neural Comput. Appl.
Raúl González-Herbón, Guzmán González-Mateos, José Ramón Rodríguez-Ossorio, Miguel A. Prada, Antonio Morán, Serafín Alonso, Juan José Fuertes, Manuel Domínguez
2025 — conf
ESN Architectures for Industrial Process Modelling to Develop Digital Twins.
EANN (2)
Raúl González-Herbón, Serafín Alonso, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez, Juan José Fuertes
2025 — conf
ESN with Delayed Inputs to Model Industrial Processes.
EANN (1)
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Claudio Gallicchio, Lidia Roca, Manuel Domínguez
2024 C conf
Deep Echo State Networks for Modelling of Industrial Systems.
EANN
José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
2024 J jnl
Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder.
Integr. Comput. Aided Eng.
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
2024 C conf
Machine Learning Modeling in Industrial Processes for Visual Analysis.
EANN
Antonio Morán, Serafín Alonso, Juan José Fuertes, Miguel A. Prada, Lidia Roca, Manuel Domínguez
2023 C conf
Adaptive Model for Industrial Systems Using Echo State Networks.
EANN
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez
2023 J jnl
Guidelines to develop demonstration models on industry 4.0 for engineering training.
Int. J. Comput. Integr. Manuf.
Juan José Fuertes, Raúl González-Herbón, José Ramón Rodríguez-Ossorio, Guzmán González-Mateos, Serafín Alonso, Antonio Morán
2023 C conf
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN.
EANN
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
2023 C conf
Virtual Flow Meter for an Industrial Process.
EANN
Raúl González-Herbón, Guzmán González-Mateos, Serafín Alonso, Miguel A. Prada, Juan José Fuertes, Antonio Morán, Manuel Domínguez
2022 C conf
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network.
EANN
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
2021 J jnl
Environment for Education on Industry 4.0.
IEEE Access
Juan José Fuertes, Miguel Ángel Prada, José Ramón Rodríguez-Ossorio, Raúl González-Herbón, Daniel Pérez, Manuel Domínguez
2021 J jnl
Virtual sensor for probabilistic estimation of the evaporation in cooling towers.
Integr. Comput. Aided Eng.
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
2020 J jnl
Feature Extraction from Building Submetering Networks Using Deep Learning.
Sensors
Antonio Morán Álvarez, Serafín Alonso, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
2019 C conf
Comparison of Network Intrusion Detection Performance Using Feature Representation.
EANN
Daniel Pérez, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
2005 — conf
Active learning in control education.
CDC/ECC
Perfecto Reguera, Juan José Fuertes, Manuel Domínguez, Bernardo A. León de la Barra