Publications by the researcher in collaboration with Francisco Martínez Álvarez (11)

2023

  1. A new Apache Spark-based framework for big data streaming forecasting in IoT networks

    Journal of Supercomputing

2022

  1. A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture

    Neurocomputing, Vol. 500, pp. 268-278

  2. Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm

    Computer-Aided Civil and Infrastructure Engineering, Vol. 37, Núm. 11, pp. 1368-1386

2021

  1. Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

    Advances in Intelligent Systems and Computing

2020

  1. Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration

    Big Data Research, Vol. 19-20

  2. Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

    Big data, Vol. 8, Núm. 4, pp. 308-322

  3. Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks

    Advances in Intelligent Systems and Computing

2019

  1. Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018

  1. SmartFD: A real big data application for electrical fraud detection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015

  1. A novel method for seismogenic zoning based on triclustering: Application to the Iberian Peninsula

    Entropy, Vol. 17, Núm. 7, pp. 5000-5021

2014

  1. TriGen: A genetic algorithm to mine triclusters in temporal gene expression data

    Neurocomputing, Vol. 132, pp. 42-53