Publications

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2024

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)

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

(Abstract | Links | BibTeX | Tags: big data, energy, forecasting, time series)

F. Martínez-Álvarez and R. Scitovski and C. Rubio-Escudero and A. Morales-Esteban

Emerging trends in big data analytics and natural disasters (Editorial) (Journal Article)

Computers and Geosciences, 182 , pp. 105465, 2024.

(Links | BibTeX | Tags: big data, natural disasters, time series)

2023

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 (Proceeding)

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

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

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 (Proceeding)

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

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

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 (Proceeding)

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

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

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 (Proceeding)

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

(Links | BibTeX | Tags: big data, clustering)

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

A new Apache Spark-based framework for big data streaming forecasting in IoT networks (Journal Article)

Journal of Supercomputing, 79 , pp. 11078–11100, 2023.

(Abstract | Links | BibTeX | Tags: big data, IoT)

M. García-Torres and R. Ruiz and F. Divina

Evolutionary feature selection on high dimensional data using a search space reduction approach (Journal Article)

Engineering Applications of Artificial Intelligence, 117 , pp. 105556, 2023.

(Abstract | Links | BibTeX | Tags: big data, feature selection)

2022

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and J. R. Villar-Flecha and A. Troncoso and E. A. de la Cal and Á. Herrero and F. Martínez-Álvarez and G. Psaila and H. Quintián and E. Corchado

Proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2022) Salamanca, Spain, September 5-7, 2022 (Proceeding)

Springer, 13469 , 2022, ISBN: 978-3-031-15470-6.

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and J. R. Villar-Flecha and A. Troncoso and E. A. de la Cal and Á. Herrero and F. Martínez-Álvarez and G. Psaila and H. Quintián and E. Corchado

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) Salamanca, Spain, September 5-7, 2022 (Proceeding)

Springer, 531 , 2022, ISBN: 978-3-031-18050-7.

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and J. R. Villar-Flecha and A. Troncoso and E. A. de la Cal and Á. Herrero and F. Martínez-Álvarez and G. Psaila and H. Quintián and E. Corchado

Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022). Salamanca, Spain, September 5-7, 2022 (Proceeding)

Springer, 532 , 2022, ISBN: 978-3-031-18409-3.

(Links | BibTeX | Tags: big data, deep learning)

L. Melgar-García and D. Gutiérrez-Avilés and M. T. Godinho and R. Espada and I. S. Brito and F. Martínez-Álvarez and A. Troncoso and C. Rubio-Escudero

A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture (Journal Article)

Neurocomputing, 500 , pp. 268-278, 2022.

(Abstract | Links | BibTeX | Tags: big data, pattern recognition)

J. A. Gallardo-Gómez and F. Divina and A. Troncoso and F. Martínez-Álvarez

Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem (Conference)

SOCO 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2022.

(Links | BibTeX | Tags: big data, energy, time series)

F. Morales and M. García-Torres and G. Velázquez and F. Daumas-Ladouce and P. Gardel-Sotomayor and F. Gómez-Vela and F. Divina and J. L. Vázquez Noguera and C. Sauer Ayala and D. Pinto-Roa

Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study (Journal Article)

Electronics, 11 (2), pp. 267, 2022.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

2021

M. García-Torres and F. Gómez-Vela and F. Divina and D.P. Pinto-Roa and J.L. Vázquez Noguera and J.C. Román

Scatter search for high-dimensional feature selection using feature grouping (Conference)

GECCO Genetic and Evolutionary Computation Conference, 2021.

(Links | BibTeX | Tags: big data, feature selection, pattern recognition)

J. F. Torres and D. Hadjout and A. Sebaa and F. Martínez-Álvarez and A. Troncoso

Deep Learning for Time Series Forecasting: A Survey (Journal Article)

Big Data, 9 (1), pp. 3-21, 2021.

(Abstract | Links | BibTeX | Tags: big data, deep learning, time series)

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

Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach (Journal Article)

Information Sciences, 558 , pp. 174-193, 2021.

(Abstract | Links | BibTeX | Tags: big data, IoT, pattern recognition)

J. A. Gallardo and M. García-Torres and F. Gómez-Vela and F. Morales and F. Divina and D. Becerra-Alonso and G. Velázquez and F. Daumas-Ladouce and J. L. Vázquez Noguera and C. Ayala Sauer

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach (Conference)

SOCO 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: big data, energy, time series)

2020

P. Jiménez-Herrera and L. Melgar-García and G. Asencio-Cortés and A. Troncoso

A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series (Conference)

HAIS 15th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2020.

(Links | BibTeX | Tags: big data, energy, IoT, time series)

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 | Tags: big data, deep learning, energy, time series)

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 | Tags: big data, deep learning, energy, time series)

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 | Tags: big data, energy, time series)

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 | Tags: big data, time series)

F. Martínez-Álvarez and D. T. Bui

Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management (Editorial) (Journal Article)

Remote Sensing, 12 (2), pp. 301, 2020, ISSN: 2072-4292.

(Abstract | Links | BibTeX | Tags: big data, natural disasters)

2019

F. Martínez-Álvarez and A. Morales-Esteban

Big data and natural disasters: New approaches for temporal and spatial massive data analysis (Editorial) (Journal Article)

Computers and Geosciences, 129 , pp. 38-39, 2019.

(Links | BibTeX | Tags: big data, natural disasters, time series)

R. Talavera-Llames and R. Pérez-Chacón and A. Troncoso and F. Martínez-Álvarez

MV-kWNN: A novel multivariate and multi-output weighted nearest neighbors algorithm for big data time series forecasting (Journal Article)

Neurocomputing, 353 , pp. 56-73, 2019.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

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

Real-Time Big Data Analytics in Smart Cities from LoRa-based IoT Networks (Conference)

SOCO 14th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2019.

(Links | BibTeX | Tags: big data, IoT)

A. Galicia and R. Talavera-Llames and A. Troncoso and I. Koprinska and F. Martínez-Álvarez

Multi-step forecasting for big data time series based on ensemble learning (Journal Article)

Knowledge Based-Systems, 163 , pp. 830-841, 2019.

(Links | BibTeX | Tags: big data, time series)

2018

R. Pérez-Chacón and J. M. Luna and A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme

Big data analytics for discovering electricity consumption patterns in smart cities (Journal Article)

Energies, 11 (3), pp. 683, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

A. Galicia and J. F. Torres and F. Martínez-Álvarez and A. Troncoso

A novel Spark-based multi-step forecasting algorithm for big data time series (Journal Article)

Information Sciences, 467 , pp. 800-818, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

R. Talavera-Llames and R. Pérez-Chacón and A. Troncoso and F. Martínez-Álvarez

Big data time series forecasting based on nearest neighbors distributed computing with Spark (Journal Article)

Knowledge-Based Systems, 161 (1), pp. 12-25, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

D. Gutiérrez-Avilés and J. A. Fábregas and J. Tejedor and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

SmartFD: A real big data application for electrical fraud detection (Conference)

HAIS 13th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2018.

(Links | BibTeX | Tags: big data, energy)

G. Asencio-Cortes and A. Morales-Esteban and X. Shang and F. Martinez-Alvarez

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure (Journal Article)

Computers and Geosciences, (115), pp. 198-210, 2018, ISSN: 0098-3004.

(Abstract | Links | BibTeX | Tags: big data, natural disasters, time series)

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Data Science and Big Data in Energy Forecasting (Journal Article)

Energies, 11 (11), pp. 3224, 2018.

(Links | BibTeX | Tags: big data, energy)

2017

A. Galicia and J. F. Torres and F. Martínez-Álvarez and A. Troncoso

Scalable Forecasting Techniques Applied to Big Electricity Time Series (Conference)

IWANN International Work-Conference on Artificial Neural Networks, Lecture Notes in Computer Science 2017.

(Links | BibTeX | Tags: big data, energy, time series)

O. Luaces and J. Díez and A. Alonso-Betanzos and A. Troncoso and A. Bahamonde

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders (Journal Article)

Knowledge-Based Systems, 117 , pp. 79-87, 2017.

(Abstract | Links | BibTeX | Tags: big data)

2016

R. Talavera-Llames and R. Pérez-Chacón and M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez

A Nearest Neighbours - Based Algorithm for Big Time Series Data Forecasting (Conference)

HAIS 11th International Conference on Hybrid Artificial Intelligence Systems, Lecture Note in Computer Science 2016.

(Links | BibTeX | Tags: big data, energy, time series)

R. Pérez-Chacón and R. Talavera-Llames and F. Martínez-Álvarez and A. Troncoso

Finding Electric Energy Consumption Patterns in Big Time Series Data (Conference)

DCAI 13th International Conference on Distributed Computing and Artificial Intelligence, Advances in Intelligent Systems and Computing 2016.

(Links | BibTeX | Tags: big data, energy, time series)

A. M. Fernández and J. F. Torres and A. Troncoso and F. Martínez-Álvarez

Automated Spark clusters deployment for Big Data with standalone applications integration (Conference)

CAEPIA Multiconferencia de la Asociación Española para la Inteligencia Artificial (TAMIDA VII Simposio de Teoría y Aplicaciones de Minería de Datos), Lecture Notes in Computer Science 2016.

(Links | BibTeX | Tags: big data)

2015

J. Díez and O. Luaces and A. Alonso-Betanzos and A. Troncoso and A. Bahamonde

Calificación de calificadores en la evaluación por pares de exámenes de respuesta abierta (Workshop)

CAEPIA Multiconferencia de la Asociación Española para la Inteligencia Artificial (TAMIDA VII Simposio de Teoría y Aplicaciones de Minería de Datos), 2015.

(BibTeX | Tags: big data)

O. Luaces and J. Díez and A. Alonso-Betanzos and A. Troncoso and A. Bahamonde

A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments (Journal Article)

Knowledge-Based Systems, 85 , pp. 322-328, 2015.

(Abstract | Links | BibTeX | Tags: big data)

2013

J. Díez and O. Luaces and A. Alonso-Betanzos and A. Troncoso and A. Bahamonde

Peer assessment in MOOCs using preference learning via matrix factorization (Workshop)

NIPS Neural Information Processing Systems Foundation (Workshop on Data Driven Education), 2013.

(BibTeX | Tags: big data)