Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

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

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

> Home

Details and statistics

DOI: 10.3390/COMPUTATION10090156

access: open

type: Journal Article

metadata version: 2022-12-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/computation/Hoz-MMFS22
- ask others
- share record
  persistent URL:
  - 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)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.