Alicia Troncoso

Alicia Troncoso

Full Professor

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Alicia  Troncoso is a Full Professor in the Computer Science Division at Pablo de Olavide University (UPO). Prior to this, she was an Assistant professor at the University of Sevilla until she joined the UPO in 2005. She received her Ph.D. from the Computer Science Division of University of Sevilla in 2005. Her Ph. D. received the award for the best research work of the Andalusian Universities in the area of knowledge “Techniques” by Endesa Foundation. His postdoctoral training has been completed in the United States, specifically at Columbia University in New York, the University of Colorado at Boulder and the University of California at San Diego. Currently, she is the director of the Master’s Degree in Computer Science at UPO and she leads the Data Science and Big Data Research Lab together with Francisco Martínez-Álvarez. Her research areas of interest includes time series forecasting, machine learning and big data. She is the author of more than a hundred papers in scientific journals and international conferences and has been supervisor of five doctoral theses. She participates in a great number of research projects and is currently the principal investigator of a project of the Research National Plan on big data streaming.

Alicia  Troncoso  was Secretary of the Computer Science Division from 2006 to 2007, Sub-Director of the Computer Science Division and responsible for Quality and Planning of the Engineering School from 2008 to 2009, Vice-Rector for Quality from 2009 to 2012 and Vice-Rector for ICT, Quality and Innovation from 2013 to 2016. Since 2017, she holds the current position of Vice-Rector for Information Technology and Digital Innovation.

My Doctoral Dissertation (in Spanish): “Advanced Techniques of Prediction and Optimization Applied to Power Systems

Supervisors: José C. Riquelme and José L. Martínez Ramos.

Committee Members: Antonio Conejo, Antonio Gómez ExpósitoMiguel ToroRafael Morales and Mª Amparo Vila.

Mark:  Cum Laude unanimously.

Students

Current

  • Patricia Jiménez, “Sistema escalable y visual para el desarrollo y puesta en producción de modelos Big Data Streaming”
  • Antonio Fernández, “Arquitecturas y algoritmos para el análisis de datos masivos en entornos IoT”
  • José F. Torres Maldonado, “Técnicas de predicción escalables para big data temporales”
  • Rubén Pérez Chacón, “Desarrollo de modelos basados en patrones para la predicción de series temporales en entornos big data”

Former

  • Antonio Galicia de Castro, “Técnicas de predicción escalables para big data temporales”, March 22, 2019, Pablo de Olavide University
  • Ricardo L. Talavera Llames, “Técnicas avanzadas de predicción para big data en el contexto de las smart cities”, March 22, 2019, Pablo de Olavide University
  • Juan Antonio Nepomuceno Chamorro, “Biclustering sobre datos de expresión génica basado en búsqueda dispersa”, July 21, 2015 (Cum Laude unanimously), University of Sevilla
  • María Martínez Ballesteros, “Evolutionary Algorithms to Discover Quantitative Association Rules”, February 24, 2012 (Cum Laude unanimously), Doctoral Dissertation Award, University of Sevilla
  • Francisco Martínez Álvarez, “Pattern Sequence Analysis to Forecast Time Series”, March 12, 2010 (Cum Laude unanimously), Doctoral Dissertation Award, Pablo de Olavide University
  • Antonio Rueda Treviño, Diseño de infraestructura basada en tecnología NFC, Arduino y dispositivos móviles Android, 2019
  • José F. Torres Maldonado, Deep Learning para la predicción de series temporales en entornos Big Data, 2019
  • Antonio Fernández Gómez, IoT SMART AGENT: Análisis de datos masivos en tiempo real mediante Apache Spark Streaming, 2018
  • Raúl Peribáñez Pascual, Extracción automática de características a partir de imágenes mediante Deep Learning para la construcción de problemas de clasificación multietiqueta, 2018
  • Antonio Galicia de Castro, Técnicas escalables para la predicción de series temporales de gran dimensión, 2017
  • David Guijo Rubio, Time series clustering based on segment tipologies extraction, 2017
  • Antonio Galicia de Castro, Integración de la tecnología Big Data para explotación de Open Data, 2015
  • Daniel Martín Ayala, Integración de tecnologías SPARQL en portales Open Data, 2014

 

Teaching

Computer Science, Pablo de Olavide University

Advanced Bioinformatics Analysis, Pablo de Olavide University

Artificial Intelligence, Menéndez Pelayo International University

Former

Master in Computing, Universitat Politècnica de Catalunya

Projects

Current and recent

Completed

  • MEC TIN2011-28956-C02: Modelos Avanzados en Minería de Datos: Aplicación Biomédica y Medioambiental.
    Principal Investigator: Jesús S. Aguilar Ruiz
    Duration: 2012-2014
  • CICYT TIN2010-09967-E: Red Española de Series Temporales
    Coordinator: Héctor Pomares
    Duration: 2011-2012
  • CICYT TIN2010-09163-E: Red Española de Minería de Datos
    Coordinator: José C. Riquelme
    Duration: 2011-2012
  • CYTED 507RT0325: Red Iberoamericana de Descubrimiento de Conocimiento
    Coordinator: Rafael Espín
    Duration: 2008-2010
  • CICYT TIN2006-27675-E: Red Española de Minería de Datos
    Coordinator: José C. Riquelme
    Duration: 2007-2008
  • Diseño de Sistemas Inteligentes para el Modelado y predicción de Series Temporales: Aplicación en problemas de Demanda Energética y Consumo de Agua (P07-TIC-02768)
    Principal Investigator: Héctor Pomares Cintas
    Duration: 2008-2010
  • Desarrollo de Sistemas Inteligentes para Descubrir Patrones de Comportamiento. Aplicación a Bases de Datos Biológicas
    Principal Investigator: Jesús S. Aguilar Ruiz
    Duration: 2008-2010
  • MEC TIN-68084-C02-00: Modelos Avanzados en Minería de Datos: Escalabilidad y Aplicación Biológica.
    Principal Investigator: Jesús S. Aguilar Ruiz
    Duration: 2008-2011
  • Desarrollo de Nuevos Sistemas y Dispositivos para la Mejora de la Calidad del Suministro Eléctrico (P06-TEP-01882)
    Principal Investigator: Antonio Gómez Expósito
    Duration: 2007-2009
  • TIC 200 – MINERÍA DE DATOS
    Principal Investigator: Jesús S. Aguilar Ruiz
    Duration: 2006-2018
  • Emergent Research Group – Bioinformatics
    Research Plan, Pablo de Olavide University
    Duration: 2006-2007
  • MINDAT-PLUS: Minería de Datos para los Usuarios (P05-TIC-00531)
    Coordinator: Francisco Herrera
    Principal Investigator: José C. Riquelme
    Duration: 2006-2008
  • Knowledge Discovery Network of Excellence (KDNet), IST-2001-33086
    Coordinator: Michael May, Fraunhofer Institute for Autonomous Intelligent Systems, Germany
    (funded by the European Commission)
    Duration: 2002-2005
  • MEC TIN2004-00159: MINERVA: Técnicas emergentes de minería de datos para la extracción de conocimiento de grandes volúmenes de información: aplicación a datos científicos e industriales.
    Principal Investigator: José C. Riquelme
    Duration: 2005-2007
  • ACPAI-2003/032: Predicción de la producción de energías renovables para su integración en redes de distribución.
    Principal Investigator: Antonio Gómez Expósito
    (supported by Junta de Andalucía)
    Duration: 2004-2005
  • CICYT TIN2004-21343-E: Red Española de Minería de Datos
    Coordinator: José C. Riquelme
    Duration: 2005-2006
  • CICYT TIC2002-11124-E: Red Española de Minería de Datos
    Coordinator: José C. Riquelme
    Duration: 2003-2004
  • ACC-1021-TIC-2002: Planificación de los sistemas de distribución y generación de energía eléctrica mediante técnicas de optimización y minería de datos
    Principal Investigator: José C. Riquelme
    Duration: 2002-2003
  • CICYT TIC1143-C02-03: Definición de diseño de un sistema de métricas para la valoración y estimación de proyectos de Ingeniería del Software. Mejora de los procesos para la toma de decisiones en la gestión de proyectos de Ingeniería del Software
    Coordinator: Javier Dolado
    Principal Investigator: José C. Riquelme
    Duration: 2002-2004
  • CICYT PB-0719: Optimización de Sistemas de Potencia mediante Técnicas de Punto Interior
    Principal Investigator: Antonio Gómez Expósito
    Duration: 1999-2002
  • REGIONS4Food: REGIONal Strategies 4 FOOD 4.0 Revolution (Programa Interreg Europe)
    Principal Investigator: Gualberto Asencio Cortés
    Duration: 2018-2023
  • Earthquakes resilient schools in the region of Algarve and Huelva (0313_PERSISTAH_5_P)
    Principal Investigator: Francisco Martínez Álvarez
    Duration: 2016-2019
  • ENEPLAN: Developing skills in the field of integrated energy planning in Med Landscapes (561877-EPP-1-2015-1-ITEPPKA2-CBHE-JP) 
    Principal InvestigatorPilar Paneque Salgado
    Duration: 2015-2017
  • E-RESPLAN: Innovative Educational Tools for energy Planning (KA2-HE-17/15) 
    Principal InvestigatorPilar Paneque Salgado
    Duration: 2015-2016

R&D Activities

Journal

  • Editorial Board Member of Forecasting journal (2018-continue)
  • Special Issue “Data Science and Big Data in Energy Forecasting with Applications”.  Journal Energies (2019). Eds: José C. Riquelme, Alicia Troncoso, Francisco Martínez-Álvarez
  • Special Issue “Data Science and Big Data in Energy Forecasting”.  Journal Energies (2018). Eds: José C. Riquelme, Alicia Troncoso, Francisco Martínez-Álvarez
  • Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol. 11160, 2018. Eds: F. Herrera, S. Damas Arroyo, R. Montes Soldado, S. Alonso, Ó. Cordón, A. González, A. Troncoso
  • Special Issue “Energy Time Series Forecasting”. Journal Energies (2016). Eds: José C. Riquelme, Alicia Troncoso, Francisco Martínez-Álvarez
  • Special Issue “Applications of Computational Intelligence in Time Series”. Journal Computational Intelligence and Neuroscience (2016). Eds: Francisco Martínez-Álvarez, Alicia Troncoso, María Martínez-Ballesteros, José C. Riquelme, Jorge Reyes
  • Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol.9868, 2016. Eds: Óscar Luaces,  José A. Gámez,  Edurne Barrenechea,  Alicia Troncoso,  Mikel Galar, Héctor Quintián, Emilio Corchado
  • Hybrid Artificial Intelligent Systems. Lecture Notes in Artificial Intelligence, Vol.9648, 2016. Eds: Francisco Martínez-Álvarez,  Alicia Troncoso,  Héctor Quintián, Emilio Corchado
  • Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol.9422, 2015. Eds: José M. Puerta,  José A. Gámez,  Bernabe Dorronsoro,  Edurne Barrenechea,  Alicia Troncoso,  Bruno Baruque,  Mikel Galar
  • Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol.8109, 2013. Eds: Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado, Juan M. Corchado

Proceedings

  • Proceedings of the12th International Conference on Computational Intelligence in Security for Information Systems and 10th International Conference on EUropean Transnational Education. Advances in Intelligent Systems and Computing book series. Vol. 951, 2019, Springer. Eds: F. Martínez-Álvarez, A. Troncoso, J. A. Sáez, H. Quintián, E. Corchado
  • Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing book series. Vol. 950, 2019, Springer. Eds: F. Martínez-Álvarez, A. Troncoso, J. A. Sáez, H. Quintián, E. Corchado
  • Proceedings of XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (2018). Eds: F. Herrera, S. Damas Arroyo, R. Montes Soldado, S. Alonso, Ó. Cordón, A. González, A. Troncoso
  • Proceedings of XVII Conferencia de la Asociación Española para la Inteligencia Artificial (2016). Eds: O. Luaces,  F. Herrera, J. A. Gámez,  L. Martínez, E. Barrenechea,  J. C. Riquelme, A. Troncoso,  B. Barruque, M. Galar, H. Quintián, Emilio Corchado
  • Proceedings of XVI Conferencia de la Asociación Española para la Inteligencia Artificial (2015). Eds: J. M. Puerta, J. A. Gámez, B. Dorronsoro, E. Barrenechea,  A. Troncoso,  B. Barruque, M. Galar
  • Proceedings of VII Simposio de Minería de Datos y Aplicaciones (2015). Eds: Alicia Troncoso, José C. Riquelme
  • Proceedings of XV Conferencia de la Asociación Española para la Inteligencia Artificial (2013). Eds: A. Alonso-Betanzos, C. Bielza, A. Salmerón, A. Duarte, J. I. Hidalgo, L. Martínez, E. Barrenechea, A. Troncoso, E. Corchado, J. M. Corchado, F. Herrera, J. C. Riquelme
  • Proceedings of V Simposio de Minería de Datos y Aplicaciones (2010). Eds: Alicia Troncoso, José C. Riquelme
  • Proceedings of  International Workshop on Mining of Non-Conventional Data (2009). Eds. Alicia Troncoso, Marta Arias
  • Proceedings of IV Taller de Minería de Datos y Aprendizaje (2007). Eds: Francisco J. Ferrer-Troyano, Alicia Troncoso, José C. Riquelme
  • PLOS One (2020)
  • Sustainable Energy, Grids and Networks (2019)
  • Applied Thermal Engineering (2019)
  • Journal of Multiple-Valued Logic and Soft Computing (2010, 2016)
  • Algorithms (2015)
  • IEEE Transactions on Fuzzy Systems (2012, 2015)
  • IEEE Transactions on Power Systems (2012, 2013, 2014)
  • Journal of Integrative Bioinformatics (2011,2012, 2014)
  • Knowledge and Information Systems (2014)
  • Applied Computational Intelligence and Soft Computing (2014)
  • Neurocomputing (2012, 2014)
  • Journal of Supercomputing (2009, 2011, 2014)
  • IEEE Transactions on Knowledge and Data Engeneering (2009, 2012, 2013)
  • Progress in Artificial Intelligence (2012, 2013)
  • Electric Power Systems Research (2012, 2013)
  • Journal Soft Computing (2007, 2012)
  • European Journal of Operational Research (2007,2009,2012)
  • ACM Transactions on Intelligent Systems and Technology (2011)
  • Journal of Heuristics (2011)
  • Applied Mathematics Letters (2010)
  • Information Sciences (2009)
  • Local Chair of International Conference on EUropean Transnational Educational (ICEUTE 2019)
  • Local Chair of the International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019)
  • Local Chair of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO2019)
  • International Summer School on Artificial Intelligence (ISSAI 2019).
  • Workshop on Data Mining and Learning Machine in CEDI’2007, CEDI’2010, CAEPIA2013 (in conjunction with CEDI 2013), CAEPIA 2015, CAEPIA 2016 (in conjunction with CEDI 2016) and CAEPIA 2018
  • Workshop on Data Mining for Energy Modeling and Optimization (DaMEMO’2018) in PAKDD 18
  • Artificial Intelligence Summer School (EVIA 2017)
  • Special Session on Energy Time Series Forecasting: New Approaches and Applications in ITISE 2017
  • Local Chair of the International Conference on Hybrid Artificial Intelligence Systems (HAIS2016)
  • Local Chair of the Artificial Intelligence Summer School (EVIA 2016)
  • Workshop on Data Mining for Energy Modeling and Optimization (DaMEMO’2016) in ICDM 16
  • Special Session on Data Mining for Industrial and Environmental Applications in SOCO 2013
  • Special Session on Intelligent Systems for Data Mining and Applications in HAIS 2011 and HAIS 2013
  • Special Session on Biologically Inspired Computing for Data Mining in NABIC 2011
  • I Workshop on Time Series in CAEPIA 2011
  • II Workshop on Intelligent Systems and Data Mining Techniques for Bioinformatics in ISDA’09
  • I Workshop on Mining of Non-Conventional Data in CAEPIA’09
  • Special Session on Intelligent Systems and Data Mining Techniques for Bioinformatics in HIS’08 and ISDA 2011
  • Special Session: Metaheuristics and Evolutionary Algorithms in Biological Applications in MAEB’07 and MAEB’09
  • Chair of the Session Optimization II, VII Iberoamerican Conference on Artificial Intelligence (IBERAMIA’02)
  • ECAI2020: European Conference on Artificial Intelligence
  • EPIA2019: Portuguese Conference on Artificial Intelligence
  • IoT Stream 2019: IoT for Data Driven Predictive Maintenance
  • IWPACBB’08, IWPACBB’09, IWPACBB’10, PACBB 2011,PACBB 2012, PACBB 2013, PACBB 2014, PACBB 2015, PACBB 2016, PACBB 2017, PACBB 2018, PACBB 2019, PACBB 2020: International Conference on Practical Applications of Computational Biology & Bioinformatics
  • CAEPIA’09, CAEPIA 2011, CAEPIA 2013, CAEPIA 2015, CAEPIA 2016, CAEPIA 2018: Conferencia de la Asociación Española para la Inteligencia Artificial
  • KDIR 2011, KDIR2012, KDIR 2013, KDIR 2014, KDIR 2015, KDIR 2016, KDIR 2017, KDIR 2018, KDIR 2019, KDIR 2020: International Conference on Knowledge Discovery and Information Retrieval
  • SOCO2013, SOCO2014, SOCO2015, SOCO2016, SOCO2017,SOCO2018, SOCO2019: International Conference on Soft Computing Models in Industrial and Environmental Applications
  • IJCNN2014, IJCNN 2015, IJCNN 2016, IJCNN 2017,IJCNN 2018, IJCNN 2019, IJCNN 2020: International Joint Conference on Neural Networks
  • ITISE2014, ITISE 2015, ITISE 2017, ITISE 2018, ITISE 2019, ITISE 2020: International Conference on Time Series
  • CEDI 2016: Congreso Español de Informática
  • SoGood 2016,SoGood2017, SoGood2018, SoGood2019, SoGood2020: Workshop on Data Science for Social Good in ECML
  • DaMEMO 2016, DaMEMO 2018: Workshop on Data Mining for Energy Modelling and Optimization in ICDM 2016 and PAKDD’18
  • HAIS 2011,HAIS2012, HAIS 2013, HAIS 2014, HAIS 2015, HAIS 2016, HAIS 2017, HAIS 2018: International Conference on Hybrid Artificial Intelligence Systems
  • SoCPaR2014,SoCPaR 2015, SoCPaR2018: International Conference on Soft Computing and Pattern Recognition
  • IDEAL’09, IDEAL’10, IDEAL 2011, IDEAL 2012, IDEAL 2013, IDEAL 2014, IDEAL 2015, IDEAL 2016, IDEAL 2017: Intelligent Data Engineering and Automatized Learning
  • DSAA2017: IEEE International Conference on Data Science and Advanced Analytics
  • HIS2017, HIS2018: International Conference on Hybrid Intelligent Systems
  • SCDM2015: International Conference on Soft Computing and Data Mining
  • IAS2015: International Conference on Information Assurance and Security
  • CASoN 2011, CASoN 2012, CASoN 2013. CASoN 2014, CASoN2015: International Conference on Computational Aspects of Social Networks
  • NABIC 2011, NABIC 2012, NABIC 2013, NABIC 2014, NABIC 2015: World Congress on Nature and Biologically Inspired Computing
  • WICT2012, WICT 2013, WICT 2014: World Congress on Information and Communications Technologies
  • ISDA’09, ISDA 2011, ISDA2014: Intelligent Systems Design and Applications
  • DCAI’08, DCAI’09, DCAI’10, DCAI 2011:International Symposium on Distributed Computing and Artificial Intelligent
  • BIOCOMP’08, BIOCOMP’09, BIOCOMP’10: International Conference on Bioinformatics & Computational Biology
  • ICAI’08, ICAI’09, ICAI’10: International Conference on Artificial Intelligence
  • DMAI’08, DMAI’09: IEEE International Workshop on Data Mining and Artificial Intelligent
  • EVABIO’07,EVABIO’09: Knowledge Discovery and Validation in Biomedical Databases

Publications

122 entries « 1 of 9 »

2020

F. Divina and J. F. Torres and M. García-Torres and F. Martínez-Álvarez and A. Troncoso

Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting Journal Article

Applied Sciences, 10 (16), pp. 5487, 2020.

Abstract | Links | BibTeX

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model Journal Article

Big Data, 8 (4), pp. 308-322, 2020.

Abstract | Links | BibTeX

R. Pérez-Chacón and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand Journal Article

Information Sciences, 540 , pp. 160-174, 2020.

Abstract | Links | BibTeX

A. M. Fernández and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration Journal Article

Big Data Research, 19-20 , pp. 100135, 2020.

Abstract | Links | BibTeX

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

High-content screening images streaming analysis using the STriGen methodology Conference

SAC 35th Annual ACM Symposium on Applied Computing, 2020.

Links | BibTeX

F. Martínez-Álvarez and A. Troncoso and H. Quintián and E. Corchado

Special issue: HAIS16-IGPL Journal Article

Logic Journal of the IGPL, 28 (1), pp. 1-3, 2020.

Abstract | Links | BibTeX

D. Guijo-Rubio and A. M. Durán-Rosal and P. A. Gutiérrez and A. Troncoso and C. Hervás-Martínez

Time series clustering based on segment typologies extraction Journal Article

IEEE Transactions on Cybernetics, 2020.

Links | BibTeX

C. Moreno-Carmona and J. M. Feria-Domínguez and A. Troncoso

Applying the Open Government Principles to the University’s Strategic Planning: A Sound Practice Journal Article

Sustainability, 12 (5), pp. 1826, 2020.

Links | BibTeX

Óscar Trull and J. Carlos García-Díaz and A. Troncoso

Stability of Multiple Seasonal Holt-Winters Models Applied to Hourly Electricity Demand in Spain Journal Article

Applied Sciences, 10 (7), pp. 2630, 2020.

Links | BibTeX

Ó. Trull and J.C. García-Díaz and A. Troncoso

Initialization methods for multiple seasonal Holt–Winters forecasting models Journal Article

Mathematics, 8 (2), pp. 268, 2020.

Links | BibTeX

2019

C. Gómez-Quiles and G. Asencio-Cortés and A. Gastalver-Rubio and F. Martínez-Álvarez and A. Troncoso and J. Manresa and J. C. Riquelme and J. M. Riquelme

A novel ensemble method for electric vehicle power consumption forecasting: application to the Spanish system Journal Article

IEEE Access, 7 , pp. 120840-120856, 2019.

Links | BibTeX

C. Rubio-Escudero and F. Martínez-Álvarez and E. Atencia and A. Troncoso

Deployment of an internal quality assurance system at Pablo de Olavide University of Seville: improving students skills Conference

ICEUTE 10th International Conference on European Transnational Education, 951 , Advances in Intelligent Systems and Computing 2019.

Links | BibTeX

J. F. Torres and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Random Hyper-Parameter Search-Based Deep Neural Network for Power Consumption Forecasting Conference

IWANN 15th International Work-Conference on Artificial Neural Networks, 11506 , Lecture Notes in Computer Science 2019.

Links | BibTeX

J. F. Torres and A. Troncoso and I. Koprinska and Z. Wang and F. Martínez-Álvarez

Big data solar power forecasting based on deep learning and multiple data sources Journal Article

Expert Systems, 36 , pp. id12394, 2019.

Links | BibTeX

Y. Lin and I. Koprinska and M. Rana and A. Troncoso

Pattern Sequence Neural Network for Solar Power Forecasting Conference

ICONIP 26th International Conference on Neural Information Processing, 2019.

BibTeX

122 entries « 1 of 9 »