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
2024
Conditioned fully convolutional denoising autoencoder for multi-target NILM Journal Article Forthcoming
En: Neural Computing and Applications, Forthcoming, ISSN: 1433-3058.
Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop Journal Article Forthcoming
En: Neural Computing and Applications, Forthcoming.
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.
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.
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.
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.
2023
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.
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.
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.
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.
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.
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.
2022
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.
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.
Sensor virtual de caudal basado en técnicas de deep learning Proceedings Article
En: XVII Simposio CEA de Control Inteligente, pp. 81-86, 2022.
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.
2021
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.
Feature analysis for data-driven APT-related malware discrimination Journal Article
En: Computers & Security, pp. 102202, 2021.
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).
2020
Evaluation of feature learning for anomaly detection in network traffic Journal Article
En: Evolving Systems, 2020.
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.
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.
Feature Extraction from Building Submetering Networks Using Deep Learning Journal Article
En: Sensors, vol. 20, no 13, pp. 3665, 2020.
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.
2019
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.
A deep learning approach for fusing sensor data from screw compressors Journal Article
En: Sensors, vol. 19, no 13, 2019, ISSN: 1424-8220.
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.
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.
Data-driven tool for monitoring of students performance Journal Article
En: IFAC-PapersOnLine, vol. 52, no 9, pp. 190-195, 2019.
Visual data analysis of engineering students performance from academic data Proceedings
no 50-61, 2019.
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.
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.
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.
2018
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.
Data Mining tool for Academic Data Exploitation. Graphical Data Analysis and Visualization. Technical Report
2018, ISBN: 978-989-20-8739-9.
Data Mining tool for Academic Data Exploitation. Selection of Most Suitable Algorithms. Technical Report
2018, ISBN: 978-989-20-8738-2.
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.
2017
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.
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.
Energy analytics in public buildings using interactive histograms Journal Article
En: Energy and Buildings, vol. 134, pp. 94–104, 2017, ISSN: 0378-7788.
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.
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.
2016
Random extreme learning machines to predict electric load in buildings Journal Article
En: Progress in Artificial Intelligence, pp. 1–7, 2016, ISSN: 2192-6360.
2015
Supervisión y análisis de procesos con dinámica mediante principios y técnicas de visualización PhD Thesis
Universidad de Oviedo, 2015.
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.
Dimensionality reduction techniques to analyze heating systems in buildings Journal Article
En: Information Sciences, vol. 294, pp. 553–564, 2015.
2014
Power-Consumption Analysis through Web-Based Visual Data Exploration Proceedings Article
En: World Congress, pp. 11257–11262, 2014.
2013
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.
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.
Machine learning methods to forecast temperature in buildings Journal Article
En: Expert Systems with Applications, vol. 40, no 4, pp. 1061–1068, 2013.
Analysis of electricity bills using visual continuous maps Journal Article
En: Neural Computing and Applications, pp. 1-11, 2013, ISSN: 0941-0643.
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.
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.
2012
Análisis y predicción de perfiles de consumo energético en edificios públicos mediante técnicas de minería de datos PhD Thesis
Universidad de Oviedo, 2012.
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.
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.
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.
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.
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.
MorphingProjections: Interactive Visualization of Electric Power Demand Time Series Proceedings Article
En: M Meyer; T Weinkauf (Ed.): Eurographics Conference on Visualization (EuroVis2012), 2012.
Monitoring industrial processes with SOM-based dissimilarity maps. Journal Article
En: Expert Systems With Applications., vol. 39, no 8, pp. 7110-7120, 2012.
Visualization Maps based on SOM to analyze MIMO systems Journal Article
En: Neural Computing and Applications, 2012.
Time series for fault detection in an industrial pilot plant Journal Article
En: International Journal of Modern Physics B, vol. 26, no 25, 2012.
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.
Visual continuous map for electrical bill comparisons Proceedings Article
En: Proceedings of the 10th Portuguese Conference on Automatic Control, Funchal, Portugal, 2012.
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.
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.
Dimensionality reduction for damage detection in engineering structures. Journal Article
En: International Journal of Modern Physics B, vol. 26, no 25, 2012.
2011
Spectrogram Analysis using Manifold Learning. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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.
Time series for fault detection in an industrial pilot plant Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
Visualization of Power Systems Consumptions by Manifold Learning. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
Dimensionality reduction for damage detection in engineering structures. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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.
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.
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.
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.
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.
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.
Time-frequency analysis of hot rolling using manifold learning Proceedings Article
En: Engineering Applications of Neural Networks, pp. 150–155, Springer, 2011.
2010
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.
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.
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.
2009
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.
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.
2008
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.
Visualization of dynamic parameters of a multivariable system using Self-Organizing Maps. Proceedings Article
En: 17th IFAC World Congress, Seoul, 2008.
2007
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.
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.
Remote Supervision of Industrial Processes based on PMML-defined SOM Models. Proceedings Article
En: European Control Conference 2007 (ECC07), Kos, Greece, 2007.
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.
2006
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.
2005
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.
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.
2003
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.
2002
Prior Knowledge Integration in Self Organizing Maps for Complex Process Supervision Proceedings Article
En: 15th IFAC World Congress, Barcelona, Spain, 2002.
MAPREX: A SOM-based condition monitoring system Proceedings Article
En: 15TH IFAC World Congress of Automatic Control, Barcelona, 2002, ISBN: 0-08-044295-1.