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

Javier De La Hoz-M, Susana Mendes, María José Fernández-Gómez, Yolanda González Silva. 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, 10(9):156, 2022. [doi]

@article{Hoz-MMFS22,
  title = {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},
  author = {Javier De La Hoz-M and Susana Mendes and María José Fernández-Gómez and Yolanda González Silva},
  year = {2022},
  doi = {10.3390/computation10090156},
  url = {https://doi.org/10.3390/computation10090156},
  researchr = {https://researchr.org/publication/Hoz-MMFS22},
  cites = {0},
  citedby = {0},
  journal = {Computation},
  volume = {10},
  number = {9},
  pages = {156},
}