"Unraveling COVID-19 Dynamics via Machine Learning and XAI: Investigating ..."

Oliver Lohaj et al. (2023)

> Home

Details and statistics

DOI: 10.3390/MAKE5040064

access: open

type: Journal Article

metadata version: 2024-02-29

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/make/LohajPBPH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/make/LohajPBPH23
Oliver Lohaj, Ján Paralic, Peter Bednár, Zuzana Paralicová, Matús Huba:
Unraveling COVID-19 Dynamics via Machine Learning and XAI: Investigating Variant Influence and Prognostic Classification. Mach. Learn. Knowl. Extr. 5(4): 1266-1281 (2023)

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.