Alicia Troncoso

Alicia Troncoso

Full Professor

Profile details

Position:
Full Professor, Computer Science Division, School of Engineering
Email:
atrolor@upo.es
Office:
11.2.6 (Building 11, 2nd floor, no. 6)
Mail Address:
Universidad Pablo de Olavide, Ctra. Utrera Km. 1, ES-41013, Spain
Categories:
Faculty

 

Citations and socials

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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 and she held the current position of Vice-Rector for Information Technology and Digital Innovation from 2017 to 2020.

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 Expósito, Miguel Toro, Rafael Morales and Mª Amparo Vila.

Mark:  Cum Laude unanimously.

 

Students

Current

  • Andrés Manuel Chacón Maldonado, “Fusión de Deep Learning explicable para datos temporales”
  • Patricia Jiménez, “Modelos híbridos de predicción para Big Data Streaming”
  • Ángela Troncoso García, “Explicabilidad de modelos de machine learning”
  • Adrián Gil Gamboa, “Modelos de Deep Learning sostenibles”

Former

  1. Antonio Fernández, “Nuevos modelos para la gestión eficiente de infraestructuras big data streaming en entornos IoT con aplicación a la Industria 4.0”, Jun 26, 2023 (Cum Laude unanimously), Pablo de Olavide University
  2. Laura Melgar García, “Técnicas big data para el procesamiento de flujos de datos masivos en tiempo real”, March 10, 2023 (Cum Laude unanimously), International Mention, Pablo de Olavide University
  3. José F. Torres Maldonado, “Modelos predictivos basados en deep learning para datos temporales masivos”, March 3, 2022 (Cum Laude unanimously), Pablo de Olavide University
  4. Rubén Pérez Chacón, “Desarrollo de modelos basados en patrones para la predicción de series temporales en entornos big data”, November 3, 2021 (Cum Laude unanimously), Pablo de Olavide University
  5. Antonio Galicia de Castro, “Técnicas de predicción escalables para big data temporales”, March 22, 2019, Pablo de Olavide University
  6. Ricardo L. Talavera Llames, “Técnicas avanzadas de predicción para big data en el contexto de las smart cities”, March 22, 2019 (Cum Laude unanimously), Pablo de Olavide University
  7. Juan Antonio Nepomuceno Chamorro, “Biclustering sobre datos de expresión génica basado en búsqueda dispersa”, July 21, 2015 (Cum Laude unanimously), University of Sevilla
  8. María Martínez Ballesteros, “Evolutionary Algorithms to Discover Quantitative Association Rules”, February 24, 2012 (Cum Laude unanimously), Doctoral Dissertation Award, University of Sevilla
  9. Francisco Martínez Álvarez, “Pattern Sequence Analysis to Forecast Time Series”, March 12, 2010 (Cum Laude unanimously), Doctoral Dissertation Award, Pablo de Olavide University
  1. Sofía Saiz Ávila, “Detección de averías en barcos de pesca usando predicción multivariable de series temporales”, 2024
  2. Pablo Inda Herrera, “Deep learning para la sostenibilidad en la industria alimentaria”, 2024
  3. Adrián Gil Gamboa, “Redes neuronales profundas para la predicción del consumo de agua en el medio plazo”, 2024
  4. Rosa Mª Torres de Paz, “Modelos predictivos para la mejora de la gestión de proyectos”, 2024
  5. Héctor Antonio Moreno Martín, “Algoritmos predictivos para energías renovables basados en deep learning”, 2023
  6. Sergio Sáez Bombín, “Fusión de información para modelos deep learning”, 2023
  7. Cristina Herruzo Lodeiro, “Reglas de asociación a través de una metaheurística basada en la propagación del covid”, 2023
  8. Miguel Ángel Pesquero López, “Sistema inteligente predictivo basado en redes neuronales para fenómenos meteorológicos intensos”, 2021
  9. Cristina Segarra Martín, “Algoritmo bioinspirado basado en el coronavirus para reglas de asociación”, 2021
  10. Antonio Manuel Gómez Orellana, “Short-Term wave height and energy flux forecasting using a multi-task approach”, 2021
  11. Álvaro Carreras Regorigo, “Detección de anomalías en tiempo real para las ciudades inteligentes: consumo eléctrico”, 2021
  12. Manuel Jesús Jiménez Navarro, “Asistente inteligente de código fuente basado en técnicas de inteligencia artificial”, 2020
  13. Antonio Miranda de la Torre, “Técnicas de extracción de conocimiento para series temporales procedentes de plantas de energía fotovoltaica”, 2020
  14. Carlos Gabriel García Soto, “Predicción de series temporales de consumo de agua potable en un núcleo urbano mediante el uso de redes neuronales”, 2020
  15. Miguel Ángel Castán Lascorz, “Predicción de series temporales mediante ensemble de clustering, clasificación y regresión”, 2020
  16. Gabriel Alejandro Sánchez Fernández, “Deep learning basado en redes recurrentes: Aplicación a la diversidad funcional”, 2020
  17. Antonio Rueda Treviño, Diseño de infraestructura basada en tecnología NFC, Arduino y dispositivos móviles Android, 2019
  18. José F. Torres Maldonado, Deep Learning para la predicción de series temporales en entornos Big Data, 2019
  19. Antonio Fernández Gómez, IoT SMART AGENT: Análisis de datos masivos en tiempo real mediante Apache Spark Streaming, 2018
  20. Raúl Peribáñez Pascual, Extracción automática de características a partir de imágenes mediante Deep Learning para la construcción de problemas de clasificación multietiqueta, 2018
  21. Antonio Galicia de Castro, Técnicas escalables para la predicción de series temporales de gran dimensión, 2017
  22. David Guijo Rubio, Time series clustering based on segment tipologies extraction, 2017
  • Eugenio Menacho de Góngora, ALPHAUPO: Inteligencia Artificial para el ajedrez, 2022
  • 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

MASTER′S DEGREE

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

INTERNATIONAL
  1. Intelligent Methods for Structures, Elements and Materials (2023-1-HR01-KA220-HED-000165929-Programa KA2)
    Principal Investigator: Francisco Martínez Álvarez
    Duration: 2023-2026
  2. REGIONS4Food: REGIONal Strategies 4 FOOD 4.0 Revolution (Programa Interreg Europe)
    Principal Investigator: Gualberto Asencio Cortés
    Duration: 2018-2023
  3. Automatic detection of diabetic retinopathy using neuro-evolutionary algorithms (PINV18-846- Programa CONCYT Paraguay)
    Principal Investigator: Miguel García Torres
    Duration: 2020-2021
  4. Earthquakes resilient schools in the region of Algarve and Huelva (0313_PERSISTAH_5_P-Programa POCTEP)
    Principal Investigator: Francisco Martínez Álvarez
    Duration: 2016-2019
  5. ENEPLAN: Developing skills in the field of integrated energy planning in Med Landscapes (561877-EPP-1-2015-1-ITEPPKA2-CBHE-JP) 
    Principal Investigator: Pilar Paneque Salgado
    Duration: 2015-2017
  6. E-RESPLAN: Innovative Educational Tools for energy Planning (KA2-HE-17/15-Programa KA2) 
    Principal Investigator: Pilar Paneque Salgado
    Duration: 2015-2016
  7. CYTED 507RT0325: Red Iberoamericana de Descubrimiento de Conocimiento
    Coordinator: Rafael Espín
    Duration: 2008-2010
  8. 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
NATIONAL

Current and recent

Completed

  • Big Time-Aware Data: Análisis de datos masivos indexados en el tiempo (TIN2014-55894-C2-2-R)
    Principal Investigator: Alicia Troncoso Lora
    Duration: 2015-2018
  • 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
  • CICYT TIN2006-27675-E: Red Española de Minería de Datos
    Coordinator: José C. Riquelme
    Duration: 2007-2008
  • MEC TIN-68084-C02-00: Modelos Avanzados en Minería de Datos: Escalabilidad y Aplicación Biológica.
    Principal Investigator: Jesús S. Aguilar Ruiz
    Duration: 2008-2011
  • 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
  • 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
  • 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
INDUSTRY
  1. Modelos predictivos de fallos en aerogeneradores a través de técnicas de aprendizaje basado en inteligencia artificial 
    Principal Investigator: Alicia Troncoso y Francisco Martínez Álvarez
    Duration: 2023-2024
  2. Plataforma digital e inteligente de servicios de ingeniería de producción aeronáutica  
    Principal Investigator: Francisco Martínez Álvarez y Miguel García Torres
    Duration: 2023-2024
  3. Soluciones basadas en inteligencia artificial para la gestión óptima de datos energéticos 
    Principal Investigator: Alicia Troncoso
    Duration: 2021-2022
  4. Sistema de detección y clasificación de desperfectos de pavimento aeroportuarios mediante aprendizaje automático 
    Principal Investigator: Francisco Martínez Álvarez
    Duration: 2020-2021
  5. Plataforma digital de servicios de logística portuaria DIGITAL PORT
    Principal Investigator: Gualberto Asencio Cortés
    Duration: 2019-2020
  6. Elaboración de una guía metodológica para la confección de un catálogo de inventario de datos y un catálogo de tecnologías del sector agroalimentario en cada región socio del Proyecto Region4Food
    Principal Investigator: Gualberto Asencio Cortés
    Duration: 2018-2019
  7. Modelos predictivos para la gestión colaborativa de estimaciones en procesos de relación con el cliente
    Principal Investigator: Alicia Troncoso Lora
    Duration: 2018-2019
  8. ANAMERELEC: Análisis de datos asociados a la predicción en los mercados eléctricos
    Principal Investigator: Alicia Troncoso Lora
    Duration: 2017-2019
  9. Nuevos protocolos de comunicación para la creación de smart cities
    Principal Investigator: Francisco Martínez Álvarez
    Duration: 2017-2018
  10. AQUASIG: Sistema inteligente de gestión del abastecimiento y consumo urbano de agua (ITC-20161178)
    Principal Investigator: Francisco Martínez Álvarez
    Duration: 2017-2019
  11. Optimización de la conservación de la infraestructura ferroviaria para transporte urbano (ITC-20151078)
    Principal Investigator: Francisco Martínez Álvarez
    Duration: 2015-2017
  12. Servicio web para el acceso a la información en portales open data (PRY153/14)
    Principal Investigator: Alicia Troncoso Lora
    Duration: 2014-2016
REGIONAL

Current and recent

Completed

  • Sof Computing y minería de Datos para el Análisis Automatizado de Datos Temporales (APPB813097)
    Principal Investigator: Alicia Troncoso Lora
    Duration: 2014-2015
  • 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
  • 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
  • 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
  • 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

R&D Activities

EDITOR

Journals

  1. Editorial Board Member of Engineering Applications of Artificial Intelligence journal (2022-continue)
  2. Editorial Board Member of Forecasting journal (2018-continue)

Lecture Notes in Artificial Intelligence

  1. Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol.14640, 2024. Eds: Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Óscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José Riquelme, Alicia Troncoso.
  2. Hybrid Artificial Intelligent Systems. Lecture Notes in Artificial Intelligence, Vol. 14001, 2023. Eds.: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
  3. Hybrid Artificial Intelligent Systems. Lecture Notes in Artificial Intelligence, Vol. 13469, 2022. Eds.: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
  4. Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol.12882, 2021. Eds: Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, David Camacho, Manuel Ojeda-Aciego, Susana Montes, Alicia Troncoso, José Riquelme, Rodrigo Gil-Merino
  5. 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
  6. 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
  7. Hybrid Artificial Intelligent Systems. Lecture Notes in Artificial Intelligence, Vol.9648, 2016. Eds: Francisco Martínez-Álvarez,  Alicia Troncoso,  Héctor Quintián, Emilio Corchado
  8. 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
  9. 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

Lecture Notes in Networks and Systems

  1. International Conference on Computational Intelligence in Security for Information Systems. International on European Transnational Education. Lecture Notes in Networks and Systems, Vol. 748, 2023. Eds.: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
  2. International Conference on Soft computing Models in Industrial and Environmental Applications. Lecture Notes in Networks and Systems, Vol. 749, 2023. Eds.: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
  3. International conference on Computational Intelligence in Security for Information Systems. International on European Transnational Education. Lecture Notes in Networks and Systems, Vol. 532, 2022. Eds.: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
  4. International Conference on Soft computing Models in Industrial and Environmental Applications. Lecture Notes in Networks and Systems, Vol. 531, 2022. Eds.: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
  5. International conference on Computational Intelligence in Security for Information Systems. International on European Transnational Education. Advances in Intelligent Systems and Computing Systems, Vol. 951, 2019. Eds.: Alicia Troncoso, Francisco Martínez-Álvarez, José Antonio Sáez Muñoz, Héctor Quintián, Emilio Corchado
  6. International Conference on Soft computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing Systems, Vol. 950, 2019. Eds.: Alicia Troncoso, Francisco Martínez-Álvarez, José Antonio Sáez Muñoz, Héctor Quintián, Emilio Corchado

Special Issues

  1. Special Issue “Advances in Time Series Forecasting “.  Journal AIMS Mathematics (2024). Eds: Francisco Martínez-Álvarez, José F. Torres, M. Martínez-Ballesteros, Alicia Troncoso.
  2. Special Issue “Data Science and Big Data in Energy Forecasting with Applications”.  Journal Energies (2019). Eds: José C. Riquelme, Alicia Troncoso, Francisco Martínez-Álvarez
  3. Special Issue “Data Science and Big Data in Energy Forecasting”.  Journal Energies (2018). Eds: José C. Riquelme, Alicia Troncoso, Francisco Martínez-Álvarez
  4. Special Issue “Energy Time Series Forecasting”. Journal Energies (2016). Eds: José C. Riquelme, Alicia Troncoso, Francisco Martínez-Álvarez
  5. 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

Proceedings

  1. Proceedings of XX Conferencia de la Asociación Española para la Inteligencia Artificial (2024). Eds: Amparo Alonso-Betanzos, Óscar Fontenla-Romero, Noelia Sánchez, Beatriz Pérez, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José Riquelme, Alicia Troncoso.
  2. Proceedings of XIX Conferencia de la Asociación Española para la Inteligencia Artificial (2021). Eds: E. Alba, G. Luque, F. Chicano, C. Cotta, D. Camacho, M. Ojeda-Aciego, S. Montes, A. Troncoso, J. C. Riquelme, R. Gil-Merino
  3. Proceedings of the 12th 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. Proceedings of VII Simposio de Minería de Datos y Aplicaciones (2015). Eds: Alicia Troncoso, José C. Riquelme
  9. 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
  10. Proceedings of V Simposio de Minería de Datos y Aplicaciones (2010). Eds: Alicia Troncoso, José C. Riquelme
  11. Proceedings of  International Workshop on Mining of Non-Conventional Data (2009). Eds. Alicia Troncoso, Marta Arias
  12. Proceedings of IV Taller de Minería de Datos y Aprendizaje (2007). Eds: Francisco J. Ferrer-Troyano, Alicia Troncoso, José C. Riquelme
JOURNAL REVIEWER
  1. Journal of Computational Science (2024)
  2. Data Mining and Knowledge Discovery (2024)
  3. Knowledge-Based Systems (2023)
  4. Applied Energy (2022)
  5. Progress in Artificial Intelligence (2021)
  6. Engineering Applications of Artificial Intelligence (2021, 2022)
  7. Biosystems Engineering (2020)
  8. PLOS One (2020)
  9. Sustainable Energy, Grids and Networks (2019)
  10. Applied Thermal Engineering (2019)
  11. Journal of Multiple-Valued Logic and Soft Computing (2010, 2016)
  12. Algorithms (2015)
  13. IEEE Transactions on Fuzzy Systems (2012, 2015)
  14. IEEE Transactions on Power Systems (2012, 2013, 2014)
  15. Journal of Integrative Bioinformatics (2011,2012, 2014)
  16. Knowledge and Information Systems (2014)
  17. Applied Computational Intelligence and Soft Computing (2014)
  18. Neurocomputing (2012, 2014, 2022, 2023)
  19. Journal of Supercomputing (2009, 2011, 2014)
  20. IEEE Transactions on Knowledge and Data Engineering (2009, 2012, 2013, 2022)
  21. Progress in Artificial Intelligence (2012, 2013, 2023)
  22. Electric Power Systems Research (2012, 2013)
  23. Journal Soft Computing (2007, 2012)
  24. European Journal of Operational Research (2007,2009,2012)
  25. ACM Transactions on Intelligent Systems and Technology (2011)
  26. Journal of Heuristics (2011)
  27. Applied Mathematics Letters (2010)
  28. Information Sciences (2009)
ORGANIZING COMMITTEE

Chair

  1. Local Chair of the Artificial Intelligence Summer School (EVIA 2023)
  2. Co-Chair of the International Conference on Hybrid Artificial Intelligence Systems (HAIS2022, HAIS2023, HAIS2024)
  3. Co-Chair of International Conference on EUropean Transnational Educational (ICEUTE 2022, ICEUTE 2023, ICEUTE 2024)
  4. Co-Chair of the International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022,CISIS 2023,CISIS 2024)
  5. Co-Chair of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO2022, SOCO2023, SOCO2024)
  6. Local Chair of International Conference on EUropean Transnational Educational (ICEUTE 2019)
  7. Local Chair of the International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019)
  8. Local Chair of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO2019)
  9. Local Chair of the International Conference on Hybrid Artificial Intelligence Systems (HAIS2016)
  10. Local Chair of the Artificial Intelligence Summer School (EVIA 2016)
  11. Chair of the Session Optimization II, VII Iberoamerican Conference on Artificial Intelligence (IBERAMIA’02)

Workshops and special sessions

  1. Special Session on Quantum Computing (SOCO2024)
  2. Special Session on Innovation in Computer Science Higher Education (ICEUTE 2023)
  3. International Summer School on Artificial Intelligence (ISSAI 2019).
  4. 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), CAEPIA 2018, CAEPIA 20-21 (in conjunction with CEDI 20-21) and CAEPIA 2024 (in conjunction with CEDI 2024)
  5. Workshop on Data Mining for Energy Modeling and Optimization (DaMEMO’2018) in PAKDD 18
  6. Artificial Intelligence Summer School (EVIA 2017)
  7. Special Session on Energy Time Series Forecasting: New Approaches and Applications in ITISE 2017
  8. Workshop on Data Mining for Energy Modeling and Optimization (DaMEMO’2016) in ICDM 16
  9. Special Session on Data Mining for Industrial and Environmental Applications in SOCO 2013
  10. Special Session on Intelligent Systems for Data Mining and Applications in HAIS 2011 and HAIS 2013
  11. Special Session on Biologically Inspired Computing for Data Mining in NABIC 2011
  12. I Workshop on Time Series in CAEPIA 2011
  13. II Workshop on Intelligent Systems and Data Mining Techniques for Bioinformatics in ISDA’09
  14. I Workshop on Mining of Non-Conventional Data in CAEPIA’09
  15. Special Session on Intelligent Systems and Data Mining Techniques for Bioinformatics in HIS’08 and ISDA 2011
  16. Special Session: Metaheuristics and Evolutionary Algorithms in Biological Applications in MAEB’07 and MAEB’09

 

PROGRAM COMMITTEE
  1. DS 2023, DS 2024: International Conference on Discovery Science
  2. XAI 2023, XAI 2024: International Conference on Explainable Artificial Intelligence
  3. IDA2021, IDA 2022, IDA2023, IDA 2024: Symposium on Intelligent Data Analysis
  4. ECAI2020, IJCAI 2021, IJCAI 2022, IJCAI 2023: European Conference on Artificial Intelligence
  5. EPIA2019: Portuguese Conference on Artificial Intelligence
  6. IoT Stream 2019: IoT for Data Driven Predictive Maintenance
  7. 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, PACBB 2021, PACBB 2023, PACBB 2024: International Conference on Practical Applications of Computational Biology & Bioinformatics
  8. CAEPIA’09, CAEPIA 2011, CAEPIA 2013, CAEPIA 2015, CAEPIA 2016, CAEPIA 2018, CAEPIA 20-21, CAEPIA 2024: Conferencia de la Asociación Española para la Inteligencia Artificial
  9. KDIR 2011, KDIR2012, KDIR 2013, KDIR 2014, KDIR 2015, KDIR 2016, KDIR 2017, KDIR 2018, KDIR 2019, KDIR 2020, KDIR 2021, KDIR 2023, KDIR 2024: International Conference on Knowledge Discovery and Information Retrieval
  10. SOCO2013, SOCO2014, SOCO2015, SOCO2016, SOCO2017,SOCO2018, SOCO2019: International Conference on Soft Computing Models in Industrial and Environmental Applications
  11. IJCNN2014, IJCNN 2015, IJCNN 2016, IJCNN 2017,IJCNN 2018, IJCNN 2019, IJCNN 2020, IJCNN 2021, IJCNN2023, IJCNN 2024: International Joint Conference on Neural Networks
  12. ITISE2014, ITISE 2015, ITISE 2017, ITISE 2018, ITISE 2019, ITISE 2020, ITISE 2021, ITISE 2022, ITISE 2023: International Conference on Time Series
  13. CEDI 2016: Congreso Español de Informática
  14. SoGood 2016, SoGood2017, SoGood2018, SoGood2019, SoGood2020, SoGood2021, SoGood2022, SoGood2023: Workshop on Data Science for Social Good in ECML
  15. DaMEMO 2016, DaMEMO 2018: Workshop on Data Mining for Energy Modelling and Optimization in ICDM 2016 and PAKDD’18
  16. HAIS 2011, HAIS2012, HAIS 2013, HAIS 2014, HAIS 2015, HAIS 2016, HAIS 2017, HAIS 2018: International Conference on Hybrid Artificial Intelligence Systems
  17. SoCPaR2014, SoCPaR 2015, SoCPaR2018: International Conference on Soft Computing and Pattern Recognition
  18. IDEAL’09, IDEAL’10, IDEAL 2011, IDEAL 2012, IDEAL 2013, IDEAL 2014, IDEAL 2015, IDEAL 2016, IDEAL 2017: Intelligent Data Engineering and Automatized Learning
  19. DSAA2017, DSAA2021, DSAA2023: IEEE International Conference on Data Science and Advanced Analytics
  20. HIS2017, HIS2018: International Conference on Hybrid Intelligent Systems
  21. SCDM2015: International Conference on Soft Computing and Data Mining
  22. IAS2015: International Conference on Information Assurance and Security
  23. CASoN 2011, CASoN 2012, CASoN 2013. CASoN 2014, CASoN2015: International Conference on Computational Aspects of Social Networks
  24. NABIC 2011, NABIC 2012, NABIC 2013, NABIC 2014, NABIC 2015, NABIC 2023: World Congress on Nature and Biologically Inspired Computing
  25. WICT2012, WICT 2013, WICT 2014, WICT2023: World Congress on Information and Communications Technologies
  26. ISDA’09, ISDA 2011, ISDA 2014, ISDA 2023: Intelligent Systems Design and Applications
  27. DCAI’08, DCAI’09, DCAI’10, DCAI 2011:International Symposium on Distributed Computing and Artificial Intelligent
  28. BIOCOMP’08, BIOCOMP’09, BIOCOMP’10: International Conference on Bioinformatics & Computational Biology
  29. ICAI’08, ICAI’09, ICAI’10: International Conference on Artificial Intelligence
  30. DMAI’08, DMAI’09: IEEE International Workshop on Data Mining and Artificial Intelligent
  31. EVABIO’07,EVABIO’09: Knowledge Discovery and Validation in Biomedical Databases

Publications

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2024

M. J. Jiménez-Navarro and A.R. Troncoso-García and A. Troncoso and F. Martínez-Álvarez and M. Martínez-Ballesteros

Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting Conference

SST International Conference on Smart Systems and Technologies, 2024.

Abstract | Links | BibTeX

H. Quintián and E. Corchado and A. Troncoso and H. Pérez-García and E. Jove-Pérez and J. L. Calvo-Rolle and F. J. Martínez de Pisón and P. García-Bringas and F. Martínez-Álvarez and Á. Herrero and P. Fosci

Proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024) Salamanca, Spain, October 9-11, 2024, Part II Proceedings

Springer, vol. 14858, 2024, ISBN: 978-3-031-74185-2.

Links | BibTeX

H. Quintián and E. Corchado and A. Troncoso and H. Pérez-García and E. Jove-Pérez and J. L. Calvo-Rolle and F. J. Martínez de Pisón and P. García-Bringas and F. Martínez-Álvarez and Á. Herrero and P. Fosci

Proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024) Salamanca, Spain, October 9-11, 2024, Part I Proceedings

Springer, vol. 14857, 2024, ISBN: 978-3-031-74182-1.

Links | BibTeX

A. R. Troncoso-García and M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso

Ground-Level Ozone Forecasting using Explainable Machine Learning Conference

CAEPIA Conference of the Spanish Association for Artificial Intelligence, vol. 14640, Lecture Notes in Artificial Intelligence 2024.

Abstract | Links | BibTeX

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

An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines Conference

CAEPIA Conference of the Spanish Association for Artificial Intelligence, Lecture Notes in Artificial Intelligence 2024.

Abstract | Links | BibTeX

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

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption Journal Article

In: Future Generation Computer Systems, vol. 154, pp. 397-412, 2024.

Abstract | Links | BibTeX

C. G. García-Soto and J. F. Torres and M. A. Zamora-Izquierdo and J. Palma and A. Troncoso

Water consumption time series forecasting in urban centers using deep neural networks Journal Article

In: Applied Water Science, vol. 14, pp. 1-14, 2024.

Abstract | Links | BibTeX

J. F. Torres and M. Martinez-Ballesteros and A. Troncoso and F. Martínez-Álvarez

Special issue on Advances in Time Series Forecasting Journal Article

In: AIMS Mathematics, vol. 9, iss. 9, pp. 24163-24165, 2024.

Links | BibTeX

A. Gil-Gamboa and P. Paneque and O. Trull and A. Troncoso

Medium-term water consumption forecasting based on deep neural networks Journal Article

In: Expert Systems With Applications, vol. 247, pp. 123234, 2024.

Abstract | Links | BibTeX

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Mártinez-Álvarez and A. Troncoso and G. Asencio-Cortés

From Simple to Complex: A Sequential Method for Enhancing Time Series Forecasting with Deep Learning Journal Article

In: Logic Journal of the IGPL, pp. jzae030, 2024.

Abstract | Links | BibTeX

2023

A. R. Troncoso-García and I. S. Brito and A. Troncoso and F. Mártinez-Álvarez

Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting Journal Article

In: Computers and Electronics in Agriculture, vol. 215, pp. 108387, 2023.

Abstract | Links | BibTeX

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). Salamanca, Spain, September 5-7, 2023 Proceedings

Springer, vol. 748, 2023, ISBN: 978-3-031-42519-6.

Links | BibTeX

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2023) Salamanca, Spain, September 5-7, 2023 Proceedings

Springer, vol. 14001, 2023, ISBN: 978-3-031-40725-3.

Links | BibTeX

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) Salamanca, Spain, September 5-7, 2023, volume 2 Proceedings

Springer, vol. 750, 2023, ISBN: 978-3-031-42536-3.

Links | BibTeX

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) Salamanca, Spain, September 5-7, 2023, volume 1 Proceedings

Springer, vol. 749, 2023, ISBN: 978-3-031-42529-5.

Links | BibTeX

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