PROYECTOS
TÉCNICAS DE MODELADO INTELIGENTE BASADO EN DATOS APLICADAS A INSTALACIONES INDUSTRIALES PARA LA MEJORA DE LA EFICIENCIA ENERGETICA (PID2020-117890RB-I00).
Entidad financiadora: Ministerio de Ciencia e Innovación
Fecha de inicio y fin: 01/09/2021 – 31/08/2025
ESTUDIO EXPERIMENTAL PARA EL DIAGNÓSTICO DE LA CIBERSEGURIDAD EN LOS SISTEMAS DE SUPERVISIÓN Y CONTROL DE LAS INFRAESTRUCTURAS CRÍTICAS(LE045P17).
Entidad financiadora: Junta de Castilla y León.
Fecha de inicio y fin: 26 de julio del 2017 al 2019.
ERASMUS + STUDENT PROFILE FOR ENHANCING ENGINEERING TUTORING. 016‐1‐ES01‐KA203‐025452.
Entidad financiadora: Comisión Europea.
Fecha de inicio y fin: 1 de Octubre del 2016 al 2018.
Entidad/es participante/s: Universitat Autònoma de Barcelona, Politecnico di Milano, Instituto Politécnico de Bragança, Universidad de León; Politechnika Opolska; Universitatea Dunarea de Jos Din Galati
TÉCNICAS DE MODELADO, PREDICCIÓN Y VISUALIZACIÓN INTERACTIVA DE DATOS PARA MEJORAR LA EFICIENCIA ENERGÉTICA EN EDIFICIOS E INSTALACIONES INDUSTRIALES (DPI2015-69891-C2-1-R)
Entidad/es financiadora/s: Ministerio de Economía y Competitividad.
Nombre del programa: Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Fechas: 01/01/2016 – 31/12/2018
Entidad/es participante/s: Universidad de León; Universidad de Oviedo; Aalto University; Université Catholique de Louvain.
Duración: 3 años
OBTENCIÓN DE MODELOS DINÁMICOS UTILIZANDO TÉCNICAS DE PROYECCIÓN PARA MEJORAR LA EFICIENCIA ENERGÉTICA EN EDIFICIOS DEL SECTOR TERCIARIO (ULE2009-4)
Entidad financiadora: Universidad de León.
Fecha de inicio: 23/02/2010
Duración: 1 año
DESARROLLO DE UNA METODOLOGÍA PARA LA SUPERVISIÓN Y MEJORA DE PROCESOS BASADA EN LA REPRESENTACIÓN VISUAL DEL COMPORTAMIENTO DINÁMICO. DPI2009-13398-C02-02
Entidad financiadora: Ministerio de Ciencia y Tecnología.
Duración, concedido Julio de 2009 (4 años).
MODELADO DE LA DINÁMICA DE PROCESOS INDUSTRIALES UTILIZANDO MAPAS TOPOLÓGICOS AUTOORGANIZADOS
Entidad financiadora: JUNTA DE CASTILLA Y LEÓN, CONSEJERÍA DE EDUCACIÓN. Orden EDU/1160/2008.
Entidad de realización: Universidad de León
Duración 2008-2009 (2 años).
TÉCNICAS AVANZADAS DE EXTRACCIÓN Y REPRESENTACIÓN CONOCIMIENTO EN LA SUPERVISIÓN REMOTA PROCESOS INDUSTRIALES COMPLEJOS VÍA INTERNET (DPI2004-07662)
Entidad financiadora: Ministerio de Ciencia y Tecnología.
Duración, desde: 12 de Diciembre del 2004 al 12 de Diciembre del 2005.
SUPERVISION REMOTA DE PROCESOS DISTRIBUIDOS VIA INTERNET
Entidad financiadora: (ACSUCYL) AGENCIA PARA LA CALIDAD DEL SISTEMA UNIVERSITARIO DE CASTILLA Y LEÓN. JUNTA DE CASTILLA Y LEÓN. EDU/1225/2006.
Duración, concedido Julio de 2006 (2 años).
Supervisión avanzada de procesos de pasteurización
Contrato de investigación: GEA PROCESS ENGINEERING, S.A.
Supervisión avanzada de procesos de pasteurización.
Duración: desde 1 de Junio de 2015 al 31 de Mayo de 2016.
Prestación del servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada
Convenio: Complejo Asistencial Universitario de León (Hospital de León).
Prestación del servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada del Complejo Asistencial Universitario de León (Hospital de León).
Duración: 16 de Febrero del 2015 al 31 de Diciembre del 2015.
Prestación de captación de datos, estudio y análisis de perfiles de consumo eléctrico
Convenio: Complejo Asistencial Universitario de León (Hospital de León).
Prestación de captación de datos, estudio y análisis de perfiles de consumo eléctrico del Complejo Asistencial Universitario de León (Hospital de León).
Duración: 1 de Marzo del 2014 al 31 de Octubre del 2014.
Servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada
Convenio: Complejo Asistencial Universitario de León (Hospital de León).
Servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada.
Duración: 16 de Julio del 2013 hasta 15 de Julio del 2014.
Estudio y optimización de sistemas de supervisión y control para mejorar la eficiencia energética
Convenio: Universidad de León
Estudio y optimización de sistemas de supervisión y control para mejorar la eficiencia energética en las instalaciones de la Universidad de León. Apoyo técnico al sistema de telegestión del consumo energético en las instalaciones de la Universidad de León.
Desde: 1 de Diciembre de 2010 hasta el 31 de Diciembre de 2013.
SUPERVISIÓN REMOTA DE PROCESOS INDUSTRIALES DISTRIBUIDOS VIA INTERNET (LE015B06)
Entidad/es financiadora/s: Junta de Castilla y León.
Fecha de inicio: 26 de Julio del 2006.
PUBLICACIONES
2025
José Ramón Rodríguez-Ossorio; Antonio Morán; Juan J Fuertes; Claudio Gallicchio; Lidia Roca; Manuel Domínguez
ESN with Delayed Inputs to Model Industrial Processes Proceedings Article
En: Engineering Applications of Neural Networks, pp. 141–153, Springer Nature Switzerland, Cham, 2025, ISBN: 978-3-031-96196-0.
@inproceedings{Ossorio25ESNDelayed,
title = {ESN with Delayed Inputs to Model Industrial Processes},
author = {José Ramón Rodríguez-Ossorio and Antonio Morán and Juan J Fuertes and Claudio Gallicchio and Lidia Roca and Manuel Domínguez},
doi = {10.1007/978-3-031-96196-0_11},
isbn = {978-3-031-96196-0},
year = {2025},
date = {2025-06-22},
urldate = {2025-06-22},
booktitle = {Engineering Applications of Neural Networks},
pages = {141–153},
publisher = {Springer Nature Switzerland},
address = {Cham},
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Raúl González-Herbón; Serafín Alonso; Miguel A Prada; Ignacio Díaz; Manuel Domínguez; Juan J Fuertes
ESN Architectures for Industrial Process Modelling to Develop Digital Twins Proceedings Article
En: Engineering Applications of Neural Networks, pp. 81–93, Springer Nature Switzerland, Cham, 2025, ISBN: 978-3-031-96199-1.
@inproceedings{Herbon2025ESNDigitalTwins,
title = {ESN Architectures for Industrial Process Modelling to Develop Digital Twins},
author = {Raúl González-Herbón and Serafín Alonso and Miguel A Prada and Ignacio Díaz and Manuel Domínguez and Juan J Fuertes},
doi = {https://doi.org/10.1007/978-3-031-96199-1_7},
isbn = {978-3-031-96199-1},
year = {2025},
date = {2025-06-22},
urldate = {2025-01-01},
booktitle = {Engineering Applications of Neural Networks},
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publisher = {Springer Nature Switzerland},
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Raúl González-Herbón; Juan J Fuertes; Serafín Alonso; Guzmán González-Mateos; José Ramón Rodríguez-Ossorio; Manuel Domínguez
Modelado de sistemas industriales no lineales mediante SINDyc para la construcción de gemelos digitales Proceedings Article
En: XX Simposio CEA de Control Inteligente: libro de actas. Universidad de Huelva, 2025.
@inproceedings{Herbon2025Modelado,
title = {Modelado de sistemas industriales no lineales mediante SINDyc para la construcción de gemelos digitales},
author = {Raúl González-Herbón and Juan J Fuertes and Serafín Alonso and Guzmán González-Mateos and José Ramón Rodríguez-Ossorio and Manuel Domínguez},
url = {https://ingmec.ual.es/ojs/index.php/RBVM25/article/view/67},
year = {2025},
date = {2025-06-11},
urldate = {2025-06-11},
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José Ramón Rodríguez-Ossorio; Antonio Morán; Juan J Fuertes; Miguel A Prada; Ignacio Díaz; Manuel Domínguez
Adaptive model based on ESN for anomaly detection in industrial systems Journal Article
En: Evolving Systems, vol. 16, no. 1, pp. 25, 2025, ISSN: 1868-6486.
@article{RodriguezOssorioAdaptive2025,
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url = {https://rdcu.be/d7wHZ},
doi = {10.1007/s12530-024-09626-0},
issn = {1868-6486},
year = {2025},
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2024
Diego García; Daniel Pérez; Panagiotis Papapetrou; Ignacio Díaz; Abel A Cuadrado; José María Enguita; Manuel Domínguez
Conditioned fully convolutional denoising autoencoder for multi-target NILM Journal Article
En: Neural Computing and Applications, vol. 37, iss. 17, pp. 10491–10505, 2024, ISSN: 1433-3058.
@article{garcia_conditioned_2024,
title = {Conditioned fully convolutional denoising autoencoder for multi-target NILM},
author = {Diego García and Daniel Pérez and Panagiotis Papapetrou and Ignacio Díaz and Abel A Cuadrado and José María Enguita and Manuel Domínguez},
url = {https://doi.org/10.1007/s00521-024-10552-0},
doi = {10.1007/s00521-024-10552-0},
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year = {2024},
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Raúl González-Herbón; Guzmán González-Mateos; José Ramón Rodríguez-Ossorio; Miguel A Prada; Antonio Morán; Serafín Alonso; Juan J Fuertes; Manuel Domínguez
Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop Journal Article
En: Neural Computing and Applications, vol. 37, iss. 17, pp. 10507-10519, 2024.
@article{González-Herbón2024-Assessment,
title = {Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop},
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url = {https://rdcu.be/d2eZP},
doi = {10.1007/s00521-024-10560-0},
year = {2024},
date = {2024-12-02},
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José María Enguita; Diego García; Abel A Cuadrado; Daniel García-Peña; José Ramón Rodríguez-Ossorio; Ignacio Díaz
Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics Proceedings Article
En: ESANN 2024 proceesdings, pp. 455–460, Ciaco - i6doc.com, Bruges (Belgium) and online, 2024, ISBN: 978-2-87587-090-2.
@inproceedings{enguita_trustworthiness_2024,
title = {Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics},
author = {José María Enguita and Diego García and Abel A Cuadrado and Daniel García-Peña and José Ramón Rodríguez-Ossorio and Ignacio Díaz},
url = {https://www.esann.org/sites/default/files/proceedings/2024/ES2024-38.pdf},
doi = {10.14428/esann/2024.ES2024-38},
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José Ramón Rodríguez-Ossorio; Claudio Gallicchio; Antonio Morán; Ignacio Díaz; Juan J Fuertes; Manuel Domínguez
Deep Echo State Networks for Modelling of Industrial Systems Proceedings Article
En: Engineering Applications of Neural Networks, pp. 106–119, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-62495-7.
@inproceedings{Ossorio2024Deep,
title = {Deep Echo State Networks for Modelling of Industrial Systems},
author = {José Ramón Rodríguez-Ossorio and Claudio Gallicchio and Antonio Morán and Ignacio Díaz and Juan J Fuertes and Manuel Domínguez},
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Antonio Morán; Serafín Alonso; Juan J Fuertes; Miguel A Prada; Lidia Roca; Manuel Domínguez
Machine Learning Modeling in Industrial Processes for Visual Analysis Proceedings Article
En: Engineering Applications of Neural Networks, pp. 379–391, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-62495-7.
@inproceedings{Moran2024Machine,
title = {Machine Learning Modeling in Industrial Processes for Visual Analysis},
author = {Antonio Morán and Serafín Alonso and Juan J Fuertes and Miguel A Prada and Lidia Roca and Manuel Domínguez},
doi = {10.1007/978-3-031-62495-7_29},
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date = {2024-06-22},
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Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder Journal Article
En: Integrated Computer-Aided Engineering, vol. 31, iss. 2, pp. 157-172, 2024, ISBN: 1875-8835.
@article{alonso23,
title = {Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder},
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doi = {10.3233/ICA-230728},
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year = {2024},
date = {2024-01-30},
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2023
José Ramón Rodríguez-Ossorio; Antonio Morán; Serafín Alonso; Daniel Pérez; Ignacio Díaz; Manuel Domínguez
Echo State Networks for anomaly detection in industrial systems Journal Article
En: IFAC-PapersOnLine, vol. 56, no. 2, pp. 1472–1477, 2023, ISSN: 2405-8963.
@article{Rodríguez-Ossorio2023,
title = {Echo State Networks for anomaly detection in industrial systems},
author = {José Ramón Rodríguez-Ossorio and Antonio Morán and Serafín Alonso and Daniel Pérez and Ignacio Díaz and Manuel Domínguez},
doi = {10.1016/j.ifacol.2023.10.1836},
issn = {2405-8963},
year = {2023},
date = {2023-11-22},
urldate = {2023-11-22},
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volume = {56},
number = {2},
pages = {1472--1477},
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José Ramón Rodríguez-Ossorio; Antonio Morán; Juan J Fuertes; Miguel A Prada; Ignacio Díaz; Manuel Domínguez
Adaptive Model for Industrial Systems Using Echo State Networks Proceedings Article
En: Engineering Applications of Neural Networks, pp. 367–378, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
@inproceedings{RodriguezOssorio2023Adaptive,
title = {Adaptive Model for Industrial Systems Using Echo State Networks},
author = {José Ramón Rodríguez-Ossorio and Antonio Morán and Juan J Fuertes and Miguel A Prada and Ignacio Díaz and Manuel Domínguez},
doi = {10.1007/978-3-031-34204-2_31},
isbn = {978-3-031-34204-2},
year = {2023},
date = {2023-06-07},
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Raúl González-Herbón; Guzmán González-Mateos; Serafín Alonso; Miguel A Prada; Juan J Fuertes; Antonio Morán; Manuel Domínguez
Virtual Flow Meter for an Industrial Process Proceedings Article
En: Engineering Applications of Neural Networks, pp. 433–444, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34203-5.
@inproceedings{GonzalezHerbon2023Virtual,
title = {Virtual Flow Meter for an Industrial Process},
author = {Raúl González-Herbón and Guzmán González-Mateos and Serafín Alonso and Miguel A Prada and Juan J Fuertes and Antonio Morán and Manuel Domínguez},
doi = {10.1007/978-3-031-34204-2_36},
isbn = {978-3-031-34203-5},
year = {2023},
date = {2023-06-07},
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Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN Proceedings Article
En: Engineering Applications of Neural Networks, pp. 239–250, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
@inproceedings{10.1007/978-3-031-34204-2_21,
title = {Hierarchical Prediction in Incomplete Submetering Systems Using a CNN},
author = {Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
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Diego García; Daniel Pérez; Panagiotis Papapetrou; Ignacio Díaz; Abel A Cuadrado; José María Enguita; Ana González; Manuel Domínguez
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation Proceedings Article
En: IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 421–433, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
@inproceedings{Garcia2023conditioned,
title = {Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation},
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doi = {10.1007/978-3-031-34171-7_34},
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José María Enguita; Ignacio Díaz; Diego García; Abel A Cuadrado; José Ramón Rodríguez-Ossorio
Principal Component Modes of Reservoir Dynamics in Reservoir Computing Proceedings Article
En: IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 434–445, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
@inproceedings{Enguita2023principal,
title = {Principal Component Modes of Reservoir Dynamics in Reservoir Computing},
author = {José María Enguita and Ignacio Díaz and Diego García and Abel A Cuadrado and José Ramón Rodríguez-Ossorio},
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2022
Raúl González-Herbón; José Ramón Rodríguez-Ossorio; Guzmán González-Mateos; Antonio Morán; Serafín Alonso; Juan J Fuertes
Control de caudal con un sensor virtual basado en técnicas de deep learning Proceedings Article
En: XLIII Jornadas de Automática, pp. 368–375, Universidade da Coruña. Servizo de Publicacións 2022.
@inproceedings{gonzalez2022control,
title = {Control de caudal con un sensor virtual basado en técnicas de deep learning},
author = { Raúl González-Herbón and José Ramón Rodríguez-Ossorio and Guzmán González-Mateos and Antonio Morán and Serafín Alonso and Juan J Fuertes},
doi = {10.17979/spudc.9788497498418.0368},
year = {2022},
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Ana González; Ignacio Díaz; Abel A Cuadrado; Diego García; Daniel Pérez
Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders Journal Article
En: Computers and Electrical Engineering, vol. 101, pp. 108065, 2022, ISSN: 0045-7906.
@article{Gonzalez2022TwoStep,
title = {Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders},
author = {Ana González and Ignacio Díaz and Abel A Cuadrado and Diego García and Daniel Pérez},
doi = {https://doi.org/10.1016/j.compeleceng.2022.108065},
issn = {0045-7906},
year = {2022},
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José Ramón Rodríguez-Ossorio; Raúl González-Herbón; Guzmán González-Mateos; Antonio Morán; Miguel A Prada; Ignacio Díaz; Manuel Domínguez
Sensor virtual de caudal basado en técnicas de deep learning Proceedings Article
En: XVII Simposio CEA de Control Inteligente, pp. 81-86, 2022.
@inproceedings{nokey,
title = {Sensor virtual de caudal basado en técnicas de deep learning},
author = { José Ramón Rodríguez-Ossorio and Raúl González-Herbón and Guzmán González-Mateos and Antonio Morán and Miguel A Prada and Ignacio Díaz and Manuel Domínguez},
doi = {10.18002/simceaci},
year = {2022},
date = {2022-06-29},
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Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network Proceedings Article
En: Communications in Computer and Information Science, pp. 247-259, Springer Science and Business Media Deutschland GmbH, 2022, ISSN: 1865-0937.
@inproceedings{alonso2022Reconstructing,
title = {Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network},
author = {Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
doi = {10.1007/978-3-031-08223-8_21},
issn = {1865-0937},
year = {2022},
date = {2022-06-10},
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booktitle = {Communications in Computer and Information Science},
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2021
Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Virtual Sensor for Probabilistic Estimation of the Evaporation in Cooling Towers Journal Article
En: Integrated Computer-Aided Engineering, vol. 28, no. 4, pp. 369-381, 2021.
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Luis Francisco Martín Liras; Adolfo Rodríguez de Soto; Miguel A Prada
Feature analysis for data-driven APT-related malware discrimination Journal Article
En: Computers & Security, pp. 102202, 2021.
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year = {2021},
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Diego García; Daniel Pérez; Ignacio Díaz; Ana González; Manuel Domínguez; Abel A Cuadrado
Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings Journal Article
En: IEEE Transactions on Smart Grid, vol. 12, no. 3, pp. 2722 – 2731, 2021, (Cited by: 38).
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2020
Daniel Pérez; Serafín Alonso; Antonio Morán; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Evaluation of feature learning for anomaly detection in network traffic Journal Article
En: Evolving Systems, 2020.
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Miguel A Prada; Manuel Domínguez; Jose Lopez Vicario; Paulo Alexandre Vara Alves; Marian Barbu; Michal Podpora; Umberto Spagnolini; Maria J Varanda Pereira; Ramon Vilanova
Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees Journal Article
En: IEEE Access, vol. 8, pp. 212818–212836, 2020.
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Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Ignacio Díaz; Manuel Domínguez
Estimating cooling production and monitoring efficiency in chillers using a soft sensor Journal Article
En: Neural Computing and Applications, vol. 32, no. 23, pp. 17291–17308, 2020.
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Antonio Morán; Serafín Alonso; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Feature Extraction from Building Submetering Networks Using Deep Learning Journal Article
En: Sensors, vol. 20, no. 13, pp. 3665, 2020.
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Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network Proceedings Article
En: International Conference on Engineering Applications of Neural Networks, pp. 155–166, Springer, Cham 2020.
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2019
Serafín Alonso; Antonio Morán; Miguel A Prada; Perfecto Reguera; Juan J Fuertes; Manuel Domínguez
A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants Journal Article
En: Energies, vol. 12, no. 5, pp. 827-827, 2019, ISSN: 1996-1073.
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Serafín Alonso; Daniel Pérez; Juan J Fuertes; Ignacio Díaz; Manuel Domínguez
A deep learning approach for fusing sensor data from screw compressors Journal Article
En: Sensors, vol. 19, no. 13, 2019, ISSN: 1424-8220.
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Umberto Spagnolini; Luca Fontana; Anna Paganoni; Aldo Torrebruno; Miguel A Prada; Manuel Domínguez; Antonio Morán; Ramón Vilanova; J. L. Vicario; Maria J Varanda; Paulo Alves; Michal Podpora; Marian Barbu
Data mining tool for academic data exploitation: Webtool description and usage Proceedings Article
En: Webtool description and usage Erasmus+ KA2 /KA203 project SPEET- Student Profiel for Enhancing Engineering Tutoring, 2019, ISBN: 978-989-20-9286-7.
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Marian Barbu; Ramón Vilanova; J. L. Vicario; Maria J Varanda; Paulo Alves; Michal Podpora; A. Kawala-Janik; Miguel A Prada; Manuel Domínguez; Umberto Spagnolini; Luca Fontana
Data mining tool for academic data exploitation: Publication Report on Engineering Students Profiles Proceedings Article
En: Publication Report on Engineering Students Porfiles Erasmus+ KA2 / KA203 project SPEET -Student Profile for Enhancing Engineering Tutoring, 2019, ISBN: 978-989-20-9286-7.
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Ramón Vilanova; Manuel Domínguez; J. L. Vicario; Miguel A Prada; Marian Barbu; Maria J Varanda; Paulo Alves; Michal Podpora; Umberto Spagnolini; Anna Paganoni
Data-driven tool for monitoring of students performance Journal Article
En: IFAC-PapersOnLine, vol. 52, no. 9, pp. 190-195, 2019.
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Manuel Domínguez; Ramón Vilanova; Miguel A Prada; J. L. Vicario; Marian Barbu; Maria J Varanda; Michal Podpora; Umberto Spagnolini; Paulo Alves; Anna Paganoni
Visual data analysis of engineering students performance from academic data Proceedings
no. 50-61, 2019.
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Daniel Pérez; Serafín Alonso; Antonio Morán; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Comparison of Network Intrusion Detection Performance Using Feature Representation Proceedings Article
En: Communications in Computer and Information Science, International Conference on Engineering Applications of Neural Networks, pp. 463-475, EANN2019 Springer, 2019, ISBN: 978-3-030-20257-6.
@inproceedings{Pérez2019,
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Serafín Alonso; Antonio Morán; Daniel Pérez; Perfecto Reguera; Ignacio Díaz; Manuel Domínguez
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers Proceedings Article
En: Communications in Computer and Information Science, International Conference on Engineering Applications of Neural Networks, pp. 307-319, EANN2019 Springer, 2019, ISBN: 978-3-030-20257-6.
@inproceedings{Alonso2019,
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Gonzalo Vergara; Juan J Carrasco; Jesus Martínez-Gómez; Manuel Domínguez; José A Gámez; Emilio Soria-Olivas
Global and Local Clustering-Based Regression Models to Forecast Power Consumption in Buildings Proceedings Article
En: Architecture and Design: Breakthroughs in Research and Practice , pp. 506-536, IGI Global, 2019.
@inproceedings{Vergara2019,
title = {Global and Local Clustering-Based Regression Models to Forecast Power Consumption in Buildings},
author = {Gonzalo Vergara and Juan J Carrasco and Jesus Martínez-Gómez and Manuel Domínguez and José A Gámez and Emilio Soria-Olivas },
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2018
Diego García; Ignacio Díaz; Daniel Pérez; Abel A Cuadrado; Manuel Domínguez; Antonio Morán
Interactive visualization for NILM in large buildings using non-negative matrix factorization Journal Article
En: Energy and Buildings, vol. 176, pp. 95 - 108, 2018, ISSN: 0378-7788.
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Miguel A Prada; Manuel Domínguez; Antonio Morán; Ramón Vilanova; J. L. Vicario; Maria J Varanda; Paulo Alves; Michal Podpora; Marian Barbu; Aldo Torrebruno; Umberto Spagnolini
Data Mining tool for Academic Data Exploitation. Graphical Data Analysis and Visualization. Technical Report
2018, ISBN: 978-989-20-8739-9.
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J. L. Vicario; Ramón Vilanova; M. Bazzarelli; A. Paganoni; Umberto Spagnolini; Aldo Torrebruno; Miguel A Prada; Antonio Morán; Manuel Domínguez; Maria J Varanda; Michal Podpora; Marian Barbu
Data Mining tool for Academic Data Exploitation. Selection of Most Suitable Algorithms. Technical Report
2018, ISBN: 978-989-20-8738-2.
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Ignacio Díaz; Daniel Pérez; Abel A Cuadrado; Diego García; Manuel Domínguez
Interactive dimensionality reduction of large datasets using interpolation Proceedings Article
En: Proceedings of the ESANN 2018 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 117-122, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2018.
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2017
Ramón Vilanova; José Lopez; Miguel A Prada; Marian Barbu; Manuel Dominguez; Maria J Varanda; Michal Podpora; Umberto Spagnolini; Paulo Alves; Anna Paganoni
SPEET: An International Collaborative Experience in Data Mining For Education Proceedings Article
En: ICERI2017 Proceedings, pp. 1648-1656, IATED, Seville, Spain, 2017, ISSN: 2340-1095.
@inproceedings{vilanova2017,
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doi = {10.21125/iceri.2017.0514},
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booktitle = {ICERI2017 Proceedings},
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Diego García; Ignacio Díaz; Daniel Pérez; Abel A Cuadrado; Manuel Domínguez
Latent variable analysis in hospital electric power demand using non-negative matrix factorization Proceedings Article
En: Proceedings of ESANN 2017, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 507-512, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2017.
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date = {2017-08-12},
booktitle = {Proceedings of ESANN 2017, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning},
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Ignacio Díaz; Abel A Cuadrado; Daniel Pérez; Manuel Domínguez; Serafín Alonso; Miguel A Prada
Energy analytics in public buildings using interactive histograms Journal Article
En: Energy and Buildings, vol. 134, pp. 94–104, 2017, ISSN: 0378-7788.
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Marian Barbu; Ramón Vilanova; José Lopéz; Maria J Varanda; Paulo Alves; Michal Podpora; Miguel A Prada; Antonio Morán; Aldo Torrebruno; Rodica Tocu Simona Marin
Data Mining Tool for Academic Data Exploitation. Literature review and first architecture proposal Technical Report
ERASMUS + KA2 / KA203 2017, ISBN: 978-972-745-228-6.
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Antonio Morán; Serafín Alonso; Miguel A Prada; Juan J Fuertes; Ignacio Díaz; Manuel Domínguez
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders Proceedings Article
En: Giacomo Boracchi; Lazaros Iliadis; Chrisina Jayne; Aristidis Likas (Ed.): Engineering Applications of Neural Networks, pp. 15–26, Springer International Publishing, 2017, ISBN: 978-3-319-65172-9.
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2016
Gonzalo Vergara; Juan I Alonso; Emilio Soria; José A Gámez; Manuel Domínguez
Random extreme learning machines to predict electric load in buildings Journal Article
En: Progress in Artificial Intelligence, pp. 1–7, 2016, ISSN: 2192-6360.
@article{Vergara2016,
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2015
Daniel Pérez
Supervisión y análisis de procesos con dinámica mediante principios y técnicas de visualización PhD Thesis
Universidad de Oviedo, 2015.
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Serafín Alonso; Miguel A Prada; Juan J Fuertes; Ignacio Díaz; Manuel Domínguez
Analysis of Electricity Bill Data Using Interactive Dimensionality Reduction Proceedings Article
En: Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS), pp. 3:1–3:7, ACM, Rhodes, Greece, 2015, ISBN: 978-1-4503-3580-5.
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Manuel Domínguez; Serafín Alonso; Antonio Morán; Miguel A Prada; Juan J Fuertes
Dimensionality reduction techniques to analyze heating systems in buildings Journal Article
En: Information Sciences, vol. 294, pp. 553–564, 2015.
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2014
Daniel Pérez; Ignacio Díaz; Abel A Cuadrado; Francisco J García; Alberto B Díez; Manuel Domínguez
Power-Consumption Analysis through Web-Based Visual Data Exploration Proceedings Article
En: IFAC World Congress, pp. 11257–11262, 2014.
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2013
Pablo Barrientos; Carlos Del J Canto; Antonio Morán; Serafín Alonso; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Analysis of Heating Systems in Buildings Using Self-Organizing Maps Proceedings Article
En: Lazaros Iliadis; Harris Papadopoulos; Chrisina Jayne (Ed.): Engineering Applications of Neural Networks, pp. 370–379, Springer, Heidelberg, 2013, ISBN: 978-3-642-41012-3.
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Manuel Domínguez; Juan J Fuertes; Serafín Alonso; Miguel A Prada; Antonio Morán; Pablo Barrientos
Power monitoring system for university buildings: Architecture and advanced analysis tools Journal Article
En: Energy and Buildings, vol. 59, no. 0, pp. 152 - 160, 2013, ISSN: 0378-7788.
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Fernando Mateo; Juan J Carrasco; Abderrahim Sellami; Mónica Millán; Manuel Domínguez; Ignacio Díaz; Emilio Soria
Machine learning methods to forecast temperature in buildings Journal Article
En: Expert Systems with Applications, vol. 40, no. 4, pp. 1061–1068, 2013.
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Antonio Morán; Juan J Fuertes; Manuel Domínguez; Miguel A Prada; Serafín Alonso; Pablo Barrientos
Analysis of electricity bills using visual continuous maps Journal Article
En: Neural Computing and Applications, pp. 1-11, 2013, ISSN: 0941-0643.
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Antonio Morán; Juan J Fuertes; Miguel A Prada; Serafín Alonso; Pablo Barrientos; Ignacio Díaz; Manuel Domínguez
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques Journal Article
En: Engineering Applications of Artificial Intelligence, vol. 26, no. 8, pp. 1872 - 1880, 2013, ISSN: 0952-1976.
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Daniel Pérez; Francisco J García; Ignacio Díaz; Abel A Cuadrado; Daniel G Ordóñez; Alberto B Díez; Manuel Domínguez
Visual analysis of a cold rolling process using a dimensionality reduction approach Journal Article
En: Engineering Applications of Artificial Intelligence, vol. 26, no. 8, pp. 1865–1871, 2013.
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2012
Antonio Morán
Análisis y predicción de perfiles de consumo energético en edificios públicos mediante técnicas de minería de datos PhD Thesis
Universidad de Oviedo, 2012.
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Ignacio Díaz; Abel A Cuadrado; Alberto B Díez; Manuel Domínguez; Juan J Fuertes; Miguel A Prada
Supervision of Industrial Processes using Self Organizing Maps SOM Book Chapter
En: Intelligent Data Analysis for Real-Life Applications: Theory and Practice, IGI Global, 2012, ISBN: 978-1-4666-1806-0.
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Serafín Alonso
Supervision de la energía eléctrica en edificios públicos de uso docente basada en técnicas de minería de datos visual PhD Thesis
Universidad de Oviedo, 2012.
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Daniel G Ordóñez; Abel A Cuadrado; Ignacio Díaz; Francisco J García; Alberto B Díez; Juan J Fuertes
Visual analysis of residuals from data-based models in complex industrial processes Journal Article
En: International Journal of Modern Physics B, vol. 26, no. 25, 2012.
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Supervisión de la energía eléctrica en edificios públicos de uso docente basada en técnicas de minería de datos visual Proceedings Article
En: X Simposio de Ingeniería de Control, Barcelona, 2012.
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Serafín Alonso; Antonio Morán; Miguel A Prada; Pablo Barrientos; Manuel Domínguez
Monitoring Power Consumption using a Generalized Variant of Self-Organizing Map (SOM) Journal Article
En: International Journal of Modern Physics B, vol. 26, no. 25, 2012.
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Ignacio Díaz; Manuel Domínguez; Abel A Cuadrado; Alberto B Díez; Juan J Fuertes
MorphingProjections: Interactive Visualization of Electric Power Demand Time Series Proceedings Article
En: M Meyer; T Weinkauf (Ed.): Eurographics Conference on Visualization (EuroVis2012), 2012.
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Manuel Domínguez; Juan J Fuertes; Ignacio Díaz; Miguel A Prada; Serafín Alonso; Antonio Morán
Monitoring industrial processes with SOM-based dissimilarity maps. Journal Article
En: Expert Systems With Applications., vol. 39, no. 8, pp. 7110-7120, 2012.
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Juan J Fuertes; Manuel Domínguez; Ignacio Díaz; Miguel A Prada; Serafín Alonso; Antonio Morán
Visualization Maps based on SOM to analyze MIMO systems Journal Article
En: Neural Computing and Applications, 2012.
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Antonio Morán; Juan J Fuertes; Serafín Alonso; Carlos Del J Canto; Manuel Domínguez
Time series for fault detection in an industrial pilot plant Journal Article
En: International Journal of Modern Physics B, vol. 26, no. 25, 2012.
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Antonio Morán; Juan J Fuertes; Abel A Cuadrado; Miguel A Prada; Serafín Alonso; Manuel Domínguez
Análisis de perfiles de consumo energético en edificios de uso docente utilizando técnicas de reducción de la dimensión. Proceedings Article
En: Proceedings of the VIII Simposio CEA de Control Inteligente, Baiona, España, 2012.
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Antonio Morán; Juan J Fuertes; Manuel Domínguez; Miguel A Prada; Serafín Alonso; Pablo Barrientos
Visual continuous map for electrical bill comparisons Proceedings Article
En: Proceedings of the 10th Portuguese Conference on Automatic Control, Funchal, Portugal, 2012.
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Antonio Morán; Juan J Fuertes; Miguel A Prada; Serafín Alonso; Pablo Barrientos; Manuel Domínguez; Ignacio Díaz
Analysis of electricity consumption profiles by means of dimensionality reduction techniques Book Section
En: Chrisina Jayne; Shigang Yue; Lazaros Iliadis (Ed.): Engineering Applications of Neural Networks, vol. 311, Springer Berlin / Heidelberg, 2012.
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Antonio Morán; Miguel A Prada; Serafín Alonso; Pablo Barrientos; Juan J Fuertes; Manuel Domínguez; Ignacio Díaz
Two-stage approach for electricity consumption forecasting in public buildings Book Section
En: Jaakko Hollmén; Frank Klawonn; Allan Tucker (Ed.): Advances in Intelligent Data Analysis XI, vol. 7619, pp. 219-229, Springer Berlin / Heidelberg, 2012.
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Miguel A Prada; Manuel Domínguez; Pablo Barrientos; Sergio García
Dimensionality reduction for damage detection in engineering structures. Journal Article
En: International Journal of Modern Physics B, vol. 26, no. 25, 2012.
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2011
Francisco J García; Ignacio Díaz; Ignacio Álvarez; Daniel Pérez; Daniel G González; Manuel Domínguez
Spectrogram Analysis using Manifold Learning. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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Daniel G González; Abel A Cuadrado; Ignacio Díaz; Francisco J García; Alberto B Díez; Juan J Fuertes
Visual analysis of residuals from data-based models in complex industrial processes. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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Antonio Morán; Serafín Alonso; Miguel A Prada; Roberto García; Juan J Fuertes
Time series for fault detection in an industrial pilot plant Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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Daniel Pérez; Ignacio Díaz; Francisco J García; Pablo Barrientos
Visualization of Power Systems Consumptions by Manifold Learning. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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Miguel A Prada; Antonio Morán; Serafín Alonso; Juan J Fuertes
Dimensionality reduction for damage detection in engineering structures. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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Manuel Domínguez; Juan J Fuertes; Ignacio Díaz; Abel A Cuadrado; Serafín Alonso; Antonio Morán
Analysis of Electric Power Consumption Using Self-Organizing Maps Proceedings Article
En: Proceedings of the 8th World Congress of the International Federation of Automatic Control (IFAC 2011), Milán, Italia, 2011.
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Serafín Alonso; Manuel Domínguez; Miguel A Prada; Mika Sulkava; Jaakko Hollmén
Comparative analysis of power consumption in university buildings using envSOM. Book Section
En: Advances in Intelligent Data Analysis, IDA 2011, vol. 7014, pp. 10-21, Spri, Porto, 2011.
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Serafín Alonso; Antonio Morán; Miguel A Prada; Pablo Barrientos; Manuel Domínguez
A variant of self-organizing map (SOM) for monitoring power consumption. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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Serafín Alonso; Mika Sulkava; Miguel A Prada; Manuel Domínguez; Jaakko Hollmén
EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization Book Section
En: Jorma Laaksonen; Timo Honkela (Ed.): Advances in Self-Organizing Maps, vol. 6731, pp. 61-70, Springer Berlin / Heidelberg, 2011.
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Ignacio Díaz; Abel A Cuadrado; Alberto B Díez; Manuel Domínguez
Manifold Learning for Visualization of Vibrational States of a Rotating Machine Book Section
En: Timo Honkela; Wlodzislaw Duch; Mark Girolami; Samuel Kaski (Ed.): Artificial Neural Networks and Machine Learning - ICANN 2011, vol. 6792, pp. 285-292, Springer Berlin / Heidelberg, 2011.
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doi = {10.1007/978-3-642-21738-8_37},
year = {2011},
date = {2011-01-01},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2011},
volume = {6792},
pages = {285-292},
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Ignacio Díaz; Antonio Robles; Abel A Cuadrado; Alberto B Díez; Manuel Domínguez; Juan J Fuertes
Control Maps: Visualization of Local Robustness Properties for Control System Design Proceedings Article
En: Proceedings of the 8th World Congress of the International Federation of Automatic Control (IFAC 2011), Milán, Italia, 2011.
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Francisco J García; Ignacio Díaz; Ignacio Álvarez; Daniel Pérez; Daniel G Ordóñez; Manuel Domínguez
Time-frequency analysis of hot rolling using manifold learning Proceedings Article
En: Engineering Applications of Neural Networks, pp. 150–155, Springer, 2011.
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2010
Ignacio Díaz; Abel A Cuadrado; Alberto B Díez; Manuel Domínguez; Juan J Fuertes; Miguel A Prada
Visualization of Changes in Process Dynamics Using Self-Organizing Maps Book Section
En: Konstantinos Diamantaras; Wlodek Duch; Lazaros Iliadis (Ed.): Artificial Neural Networks - ICANN 2010, vol. 6353, pp. 343-352, Springer Berlin / Heidelberg, 2010.
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Juan J Fuertes; Manuel Domínguez; Perfecto Reguera; Miguel A Prada; Ignacio Díaz; Abel A Cuadrado
Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes Journal Article
En: Engineering Applications of Artificial Intelligence, vol. 23, no. 1, pp. 8 - 17, 2010, ISSN: 0952-1976.
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Miguel A Prada; Manuel Domínguez; Ignacio Díaz; Juan J Fuertes; Perfecto Reguera; Antonio Morán; Serafín Alonso
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes Book Section
En: Konstantinos Diamantaras; Wlodek Duch; Lazaros Iliadis (Ed.): Artificial Neural Networks - ICANN 2010, vol. 6353, pp. 392-401, Springer Berlin / Heidelberg, 2010.
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2009
Ignacio Díaz; Abel A Cuadrado; Alberto B Díez; Juan J Fuertes; Manuel Domínguez; Miguel A Prada
Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps Proceedings Article
En: Dominic Palmer-Brown; Chrisina Draganova; Elias Pimenidis; Haris Mouratidis (Ed.): Engineering Applications of Neural Networks, pp. 119-130, Springer Berlin Heidelberg, 2009, ISBN: 978-3-642-03969-0.
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Miguel A Prada
Técnicas de extracción del conocimiento basadas en data mining visual para la supervisión de procesos industriales. Análisis de la dinámica basado en mapas auto-organizados PhD Thesis
Universidad de León, 2009.
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2008
Ignacio Díaz; Manuel Domínguez; Abel A Cuadrado; Juan J Fuertes
A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes. Journal Article
En: Expert Systems with Applications., vol. 34, no. 4, pp. 2953-2965, 2008.
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Juan J Fuertes; Miguel A Prada; Manuel Domínguez; Perfecto Reguera; Ignacio Díaz; Alberto B Díez
Visualization of dynamic parameters of a multivariable system using Self-Organizing Maps. Proceedings Article
En: 17th IFAC World Congress, Seoul, 2008.
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2007
Manuel Domínguez; Perfecto Reguera; Juan J Fuertes; Ignacio Díaz; Abel A Cuadrado
Internet-based remote Supervision of Industrial Processes using Self-organizing maps. Journal Article
En: Engineering Applications of Artificial Intelligence, vol. 20, no. 6, pp. 757–765, 2007.
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Ignacio Díaz; Abel A Cuadrado; Alberto B Díez; Juan J Fuertes; Manuel Domínguez; Perfecto Reguera
Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps. Book Section
En: Marques J de Sá; W Duch; L A Alexandre (Ed.): International Conference on Artificial Neural Networks 2007, Part I, Lecture Notes in Computer Science, vol. 4668, pp. 609–617, Springer-Verlag, 2007, ISBN: 978-3-540-74689-8.
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Juan J Fuertes; Miguel A Prada; Manuel Domínguez; Perfecto Reguera; Ignacio Díaz
Remote Supervision of Industrial Processes based on PMML-defined SOM Models. Proceedings Article
En: European Control Conference 2007 (ECC07), Kos, Greece, 2007.
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Juan J Fuertes; Miguel A Prada; Manuel Domínguez; Perfecto Reguera; Ignacio Díaz; Abel A Cuadrado
Modeling of Đynamics using Process State Projection on the Self Organizing Map. Book Section
En: J Marques de Sá; W Duch; L A Alexandre (Ed.): International Conference on Artificial Neural Networks 2007, Part I, Lecture Notes in Computer Science, vol. 4668, pp. 589–598, Springer-Verlag, 2007, ISBN: 978-3-540-74689-8.
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2006
Juan J Fuertes
Modelado y Representación de la Dinámica de Sistemas Complejos mediante Técnicas de Đata Mining Visual para la Supervisión Remota de Procesos Industriales vía Internet. PhD Thesis
Universidad de Oviedo, 2006.
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2005
Manuel Domínguez; Perfecto Reguera; Juan J Fuertes; Ignacio Díaz; Abel A Cuadrado
Internet based remote Supervision of Industrial Processes using Self Organizing Maps. Proceedings Article
En: 9th International Conference on Engineering Applications of Neural Networks, Francia, 2005.
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Juan J Fuertes; Perfecto Reguera; Manuel Domínguez; Ignacio Díaz; Abel A Cuadrado
Industrial Supervision System based on Visual Đata Mining and Motion Ŧrajectory Analysis. Proceedings Article
En: International Federation of Automatic Control 16th IFAC World Congress, Prague, 2005.
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2003
Manuel Domínguez
Supervisión remota de procesos complejos vía Internet mediante Técnicas de Data Mining Visual. Aplicación a una planta piloto industrial. PhD Thesis
Universidad de Oviedo, 2003.
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2002
Ignacio Díaz; Alberto B Díez; Abel A Cuadrado; Manuel Domínguez
Prior Knowledge Integration in Self Organizing Maps for Complex Process Supervision Proceedings Article
En: 15th IFAC World Congress, Barcelona, Spain, 2002.
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Abel A Cuadrado; Ignacio Díaz; Alberto B Díez; Manuel Domínguez; Faustino Obeso
MAPREX: A SOM-based condition monitoring system Proceedings Article
En: 15TH IFAC World Congress of Automatic Control, Barcelona, 2002, ISBN: 0-08-044295-1.
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