Publicaciones en las que colabora con Francisco Martínez Álvarez (15)

2024

  1. Emerging trends in big data analytics and natural disasters

    Computers and Geosciences

2022

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

    Neurocomputing, Vol. 500, pp. 268-278

2021

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

    Advances in Intelligent Systems and Computing

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

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

2020

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

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

  2. Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills

    Advances in Intelligent Systems and Computing

2019

  1. Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses

    Advances in Intelligent Systems and Computing

2018

  1. A novel tree-based algorithm to discover seismic patterns in earthquake catalogs

    Computers and Geosciences, Vol. 115, pp. 96-104

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

2013

  1. Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula

    Knowledge-Based Systems, Vol. 50, pp. 198-210

2011

  1. Mining quantitative association rules in microarray data using evolutive algorithms

    ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence

  2. On the use of algorithms to discover motifs in DNA sequences

    International Conference on Intelligent Systems Design and Applications, ISDA

2010

  1. Pattern recognition to forecast seismic time series

    Expert Systems with Applications, Vol. 37, Núm. 12, pp. 8333-8342

2008

  1. Classification of gene expression profiles: comparison of K-means and expectation maximization algorithms

    Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008