Publications in collaboration with researchers from Universidad de Sevilla (22)

2023

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

    Journal of Supercomputing

  2. A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

    Information Fusion, Vol. 95, pp. 163-173

  3. Data streams classification using deep learning under different speeds and drifts

    Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 688-700

  4. Identifying novelties and anomalies for incremental learning in streaming time series forecasting

    Engineering Applications of Artificial Intelligence, Vol. 123

2022

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

    Neurocomputing, Vol. 500, pp. 268-278

  2. Nearest neighbors with incremental learning for real-time forecasting of electricity demand

    IEEE International Conference on Data Mining Workshops, ICDMW

2021

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

    Advances in Intelligent Systems and Computing

  2. Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach

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

  3. Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach

    Computers and Geosciences, Vol. 150

  4. Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming

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

2020

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

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

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)

  2. TRIQ: A new method to evaluate triclusters

    BioData Mining, Vol. 11, Núm. 1

2016

  1. TRIQ: A comprehensive evaluation measure for triclustering algorithms

    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

  2. MSL: A measure to evaluate three-dimensional patterns in gene expression data

    Evolutionary Bioinformatics, Vol. 11, pp. 121-135

2014

  1. LSL: A new measure to evaluate triclusters

    Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

  2. Mining 3D patterns from gene expression temporal data: A new tricluster evaluation measure

    The Scientific World Journal, Vol. 2014

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

    Neurocomputing, Vol. 132, pp. 42-53

2011

  1. Revisiting the yeast cell cycle problem with the improved TriGen algorithm

    Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011