Manuel Domínguez

35 papers C 9Journal 17Unranked 7
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
Adaptive model based on ESN for anomaly detection in industrial systems.
Evol. Syst.
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan J. Fuertes-Martínez, Miguel A. Prada, Ignacio Díaz Blanco, 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 J jnl
Conditioned fully convolutional denoising autoencoder for multi-target NILM.
Neural Comput. Appl.
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José M. Enguita, 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
2025 — conf
Reduced Echo State Networks for Model Predictive Control of a Quadruple-Tank Process.
ECC
Guzmán González-Mateos, Miguel A. Prada, Antonio Morán Álvarez, Ignacio Díaz Blanco, Manuel Domínguez
2024 J jnl
An Approach to Develop Digital Twins in Industry.
Sensors
Raúl González-Herbón, Guzmán González-Mateos, José Ramón Rodríguez-Ossorio, Manuel Domínguez, Serafín Alonso, Juan J. Fuertes-Martínez
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 — ed.
Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings, Part I
AIAI (1)
Ilias Maglogiannis, Lazaros S. Iliadis, John MacIntyre, Manuel Domínguez
2023 — ed.
Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings, Part II
AIAI (2)
Ilias Maglogiannis, Lazaros S. Iliadis, John MacIntyre, Manuel Domínguez
2023 — conf
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation.
AIAI (Workshops)
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José María Enguita, Ana González-Muñiz, Manuel Domínguez
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
Evaluation of feature learning for anomaly detection in network traffic.
Evol. Syst.
Daniel Pérez, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan J. Fuertes-Martínez, 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
Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees.
IEEE Access
Miguel A. Prada, Manuel Domínguez, José López Vicario, Paulo Alexandre Vara Alves, Marian Barbu, Michal Podpora, Umberto Spagnolini, Maria João Varanda Pereira, Ramón Vilanova
2020 J jnl
Estimating cooling production and monitoring efficiency in chillers using a soft sensor.
Neural Comput. Appl.
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Ignacio Díaz Blanco, 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
2020 C conf
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network.
EANN
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domínguez
2019 J jnl
A Deep Learning Approach for Fusing Sensor Data from Screw Compressors.
Sensors
Serafín Alonso, Daniel Pérez, Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, 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
2019 C conf
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers.
EANN
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Perfecto Reguera, Ignacio Díaz Blanco, Manuel Domínguez
2018 — conf
SPEET: Visual Data Analysis of Engineering Students Performance From Academic Data.
LASI Spain
Manuel Domínguez, Ramón Vilanova, Miguel A. Prada, José López Vicario, Marian Barbu, Maria João Varanda Pereira, Michal Podpora, Umberto Spagnolini, Paulo Alves, Anna Maria Paganoni
2016 J jnl
Random extreme learning machines to predict electric load in buildings.
Prog. Artif. Intell.
Gonzalo Vergara, Juan Ignacio Alonso-Barba, Emilio Soria-Olivas, José A. Gámez, Manuel Domínguez
2013 J jnl
Machine learning methods to forecast temperature in buildings.
Expert Syst. Appl.
Fernando Mateo, Juan José Carrasco, Abderrahim Sellami, Mónica Millán-Giraldo, Manuel Domínguez, Emilio Soria-Olivas
2009 J jnl
Los recursos tecnológicos para la teleformación en España: Comparativa e implantación.
Rev. Iberoam. de Tecnol. del Aprendiz.
Rafael Pastor Vargas, Edmundo Tovar, Inmaculada Plaza, Manuel Castro, Martín Llamas Nistal, Francisco Arcega, Gabriel Díaz, Francisco Falcone, Francisco Jurado, José Ángel Sánchez, Manuel Domínguez, Francisco Mur, José Carpio
2009 — conf
Tool for instruction and learning on variable speed drives through the Internet.
ECC
Manuel Domínguez, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Miguel A. Prada, Serafín Alonso, Antonio Morán Álvarez, Fernando Briz, Alberto B. Diez
2005 — conf
Active learning in control education.
CDC/ECC
Perfecto Reguera, Juan José Fuertes, Manuel Domínguez, Bernardo A. León de la Barra