"Capturing the Complexity of COVID-19 Research: Trend Analysis in the First ..."

Javier De La Hoz-M et al. (2022)

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DOI: 10.3390/COMPUTATION10090156

access: open

type: Journal Article

metadata version: 2022-12-06

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  - https://dblp.org/rec/journals/computation/Hoz-MMFS22
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. Comput. 10(9): 156 (2022)

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