COVID-19 Cases Prediction in Saudi Arabia Using Tree-based Ensemble Models-Reference-Cited by-同舟云学术

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COVID-19 Cases Prediction in Saudi Arabia Using Tree-based Ensemble Models

Published:2022 Issue:1 Volume:32 Page:389-400
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Ali Almazroi Abdulwahab,Sher Afgun Usmani Raja

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v32n1/45276/pdf

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Covid-19 confirmed cases and deaths using hybrid support vector machine-Taguchi method;Computers & Industrial Engineering;2024-05

2. A brief review and scientometric analysis on ensemble learning methods for handling COVID-19;Heliyon;2024-02

3. Descriptive analysis to assess seasonal patterns of COVID-19 and influenza in low-income and middle-income countries in Asia, the Middle East and Latin America;BMJ Open;2024-01

4. Impact of class imbalance ratio on ensemble methods for imbalance problem: A new perspective;Journal of Intelligent & Fuzzy Systems;2023-12-02

5. Prediction of the number of COVID-19 confirmed cases using the hybrid FUCOM-Pareto analysis- random forest method;Pamukkale University Journal of Engineering Sciences;2023

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