Manuel Domínguez

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 21

Top Topics

Echo State Networks

Top Venues

Integr. Comput. Aided Eng.

Publications

Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder. Integr. Comput. Aided Eng. 31 (2) (2024)
Antonio Morán, Serafín Alonso, Juan José Fuertes, Miguel A. Prada, Lidia Roca, Manuel Domínguez
Machine Learning Modeling in Industrial Processes for Visual Analysis. EANN (2024)
José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
Deep Echo State Networks for Modelling of Industrial Systems. EANN (2024)
Raúl González-Herbón, Guzmán González-Mateos, José Ramón Rodríguez-Ossorio, Manuel Domínguez, Serafín Alonso, Juan J. Fuertes-Martínez
An Approach to Develop Digital Twins in Industry. Sensors 24 (3) (2024)
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN. EANN (2023)
Raúl González-Herbón, Guzmán González-Mateos, Serafín Alonso, Miguel A. Prada, Juan José Fuertes, Antonio Morán, Manuel Domínguez
Virtual Flow Meter for an Industrial Process. EANN (2023)
Diego García, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José Maria Enguita, Ana González-Muñiz, Manuel Domínguez
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation. AIAI Workshops (2023)
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Miguel A. Prada, Ignacio Díaz, Manuel Domínguez
Adaptive Model for Industrial Systems Using Echo State Networks. EANN (2023)
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network. EANN (2022)
Juan José Fuertes, Miguel Ángel Prada, José Ramón Rodríguez-Ossorio, Raúl González-Herbón, Daniel Pérez, Manuel Domínguez
Environment for Education on Industry 4.0. IEEE Access 9 (2021)
Daniel Pérez, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domínguez
Evaluation of feature learning for anomaly detection in network traffic. Evol. Syst. 12 (1) (2021)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Virtual sensor for probabilistic estimation of the evaporation in cooling towers. Integr. Comput. Aided Eng. 28 (4) (2021)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez
Estimating cooling production and monitoring efficiency in chillers using a soft sensor. Neural Comput. Appl. 32 (23) (2020)
Antonio Morán Álvarez, Serafín Alonso, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Feature Extraction from Building Submetering Networks Using Deep Learning. Sensors 20 (13) (2020)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domínguez
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network. EANN (2020)
Miguel A. Prada, Manuel Domínguez, José López Vicario, Paulo Alexandre Vara Alves, Marian Barbu, Michal Podpora, Umberto Spagnolini, Maria João Varanda Pereira, Ramón Vilanova
Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees. IEEE Access 8 (2020)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Perfecto Reguera, Ignacio Díaz Blanco, Manuel Domínguez
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers. EANN (2019)
Daniel Pérez, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Comparison of Network Intrusion Detection Performance Using Feature Representation. EANN (2019)
Serafín Alonso, Daniel Pérez, Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez
A Deep Learning Approach for Fusing Sensor Data from Screw Compressors. Sensors 19 (13) (2019)
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
SPEET: Visual Data Analysis of Engineering Students Performance From Academic Data. LASI-SPAIN (2018)
Gonzalo Vergara, Juan Ignacio Alonso-Barba, Emilio Soria-Olivas, José A. Gámez, Manuel Domínguez
Random extreme learning machines to predict electric load in buildings. Prog. Artif. Intell. 5 (2) (2016)
Fernando Mateo, Juan José Carrasco, Abderrahim Sellami, Mónica Millán-Giraldo, Manuel Domínguez, Emilio Soria-Olivas
Machine learning methods to forecast temperature in buildings. Expert Syst. Appl. 40 (4) (2013)
Manuel Domínguez, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Miguel A. Prada, Serafín Alonso, Antonio Morán Álvarez, Fernando Briz, Alberto B. Diez
Tool for instruction and learning on variable speed drives through the Internet. ECC (2009)
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
Los recursos tecnológicos para la teleformación en España: Comparativa e implantación. Rev. Iberoam. de Tecnol. del Aprendiz. 4 (1) (2009)
Perfecto Reguera, Juan José Fuertes, Manuel Domínguez, Bernardo A. León de la Barra
Active learning in control education. CDC/ECC (2005)