Publications

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2021

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, in press , 2021.

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

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

Special Issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems (Journal Article)

Neurocomputing, in press , 2021.

(BibTeX | Tags: big data, deep learning)

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 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 | Tags: big data, deep learning, pattern recognition)

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)

A. López-Fernández and D. Rodriguez-Baena and F. Gómez-Vela and F. Divina and M. García-Torres

A multi-GPU biclustering algorithm for binary datasets (Journal Article)

Journal of Parallel and Distributed Computing, 147 , pp. 209-219, 2020.

(Abstract | BibTeX | Tags: big data)

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)