Serafín Alonso

35 papers B 2C 10Journal 17Unranked 6
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
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
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 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 ed.
Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings
EANN
Lazaros Iliadis, Ilias Maglogiannis, Serafín Alonso, Chrisina Jayne, Elias Pimenidis
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
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
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
2017 C conf
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders.
EANN
Antonio Morán Álvarez, Serafín Alonso, Miguel A. Prada, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez-González
2017 J jnl
Comparative analysis of the security of configuration protocols for industrial control devices.
Int. J. Crit. Infrastructure Prot.
Luis Martín-Liras, Miguel A. Prada, Juan J. Fuertes-Martínez, Antonio Morán Álvarez, Serafín Alonso, Manuel Domínguez-González
2015 — conf
Analysis of Electricity Bill Data using Interactive Dimensionality Reduction.
EANN Workshops
Serafín Alonso, Miguel A. Prada, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez-González
2015 J jnl
Dimensionality reduction techniques to analyze heating systems in buildings.
Inf. Sci.
Manuel Domínguez-González, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan J. Fuertes-Martínez
2014 J jnl
Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers.
Comput. Appl. Eng. Educ.
Manuel Domínguez-González, Juan J. Fuertes-Martínez, Miguel A. Prada, Serafín Alonso, Antonio Morán Álvarez
2013 — conf
Analysis of Heating Systems in Buildings Using Self-Organizing Maps.
EANN (1)
Pablo Barrientos, Carlos J. del Canto, Antonio Morán Álvarez, Serafín Alonso, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domínguez-González
2013 J jnl
Analysis of electricity bills using visual continuous maps.
Neural Comput. Appl.
Antonio Morán Álvarez, Juan José Fuertes-Martínez, Manuel Domínguez-González, Miguel A. Prada, Serafín Alonso, Pablo Barrientos
2013 J jnl
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques.
Eng. Appl. Artif. Intell.
Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Miguel A. Prada, Serafín Alonso, Pablo Barrientos, Ignacio Díaz Blanco, Manuel Domínguez-González
2013 J jnl
Visualization maps based on SOM to analyze MIMO systems.
Neural Comput. Appl.
Juan J. Fuertes-Martínez, Manuel Domínguez-González, Ignacio Díaz Blanco, Miguel A. Prada, Antonio Morán Álvarez, Serafín Alonso
2012 C conf
Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques.
EANN
Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Miguel A. Prada, Serafín Alonso, Pablo Barrientos, Ignacio Díaz Blanco
2012 J jnl
Monitoring industrial processes with SOM-based dissimilarity maps.
Expert Syst. Appl.
Manuel Domínguez-González, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Miguel A. Prada, Serafín Alonso, Antonio Morán Álvarez
2012 B conf
Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings.
IDA
Antonio Morán Álvarez, Miguel A. Prada, Serafín Alonso, Pablo Barrientos, Juan J. Fuertes-Martínez, Manuel Domínguez-González, Ignacio Díaz Blanco
2011 B conf
Comparative Analysis of Power Consumption in University Buildings Using envSOM.
IDA
Serafín Alonso, Manuel Domínguez-González, Miguel A. Prada, Mika Sulkava, Jaakko Hollmén
2011 — conf
EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization.
WSOM
Serafín Alonso, Mika Sulkava, Miguel A. Prada, Manuel Domínguez-González, Jaakko Hollmén
2010 — conf
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes.
ICANN (2)
Miguel A. Prada, Manuel Domínguez-González, Ignacio Díaz Blanco, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Antonio Morán Álvarez, Serafín Alonso
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