SCLAVOEM: hyper parameter optimization approach to predictive modelling of COVID-19 infodemic tweets using smote and classifier vote ensemble.

Olaleye T, Abayomi-Alli A, Adesemowo K, Arogundade OT, Misra S, Kose U

DOI: 10.1007/s00500-022-06940-0
Published: 2023
Container: Soft computing
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1007/s00500-022-06940-0,
  title = {SCLAVOEM: hyper parameter optimization approach to predictive modelling of COVID-19 infodemic tweets using smote and classifier vote ensemble.},
  author = {Olaleye T and Abayomi-Alli A and Adesemowo K and Arogundade OT and Misra S and Kose U},
  year = {2023},
  journal = {Soft computing},
  doi = {10.1007/s00500-022-06940-0},
  url = {https://doi.org/10.1007/s00500-022-06940-0}
}

RIS

TY  - JOUR
TI  - SCLAVOEM: hyper parameter optimization approach to predictive modelling of COVID-19 infodemic tweets using smote and classifier vote ensemble.
AU  - Olaleye T
AU  - Abayomi-Alli A
AU  - Adesemowo K
AU  - Arogundade OT
AU  - Misra S
AU  - Kose U
PY  - 2023
JO  - Soft computing
DO  - 10.1007/s00500-022-06940-0
UR  - https://doi.org/10.1007/s00500-022-06940-0
ER  -

APA

T, O., A, A., K, A., OT, A., S, M., & U, K. (2023). SCLAVOEM: hyper parameter optimization approach to predictive modelling of COVID-19 infodemic tweets using smote and classifier vote ensemble.. Soft computing. https://doi.org/10.1007/s00500-022-06940-0

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pubmed · retrieved 2026-09-25T13:56:06.027Z