Javier Antonio de la Hoz Maestre-rekin lankidetzan egindako argitalpenak (6)

2022

  1. Capturing the Complexity of COVID-19 Research: Trend Analysis in the First Two Years of the Pandemic Using a Bayesian Probabilistic Model and Machine Learning Tools

    Computation, Vol. 10, Núm. 9

  2. Contribuciones al análisis multivariante de datos ponderados geográficamente

    Contribuciones al análisis multivariante de datos ponderados geográficamente

  3. GeoWeightedModel: An R-Shiny package for Geographically Weighted Models

    SoftwareX, Vol. 20

  4. Trends and topics in geographically weighted regression research from 1996 to 2019

    Area, Vol. 54, Núm. 1, pp. 105-117

2021

  1. Frequency of neuroendocrine tumor studies: Using latent dirichlet allocation and hj-biplot statistical methods

    Mathematics, Vol. 9, Núm. 18

  2. Ldashiny: An r package for exploratory review of scientific literature based on a bayesian probabilistic model and machine learning tools

    Mathematics, Vol. 9, Núm. 14