Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting-Reference-Cited by-同舟云学术

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Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting

Published:2021 Issue:3 Volume:68 Page:2945-2959
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Moon Jaeuk,Jung Seungwon,Park Sungwoo,Hwang Eenjun

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modelling and Simulation,Biomaterials

Cited by 9 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. Ensemble learning-based early detection of influenza disease;Multimedia Tools and Applications;2023-05-20

2. RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting;IEEE Journal of Biomedical and Health Informatics;2023-05

3. Model-agnostic meta-learning-based region-adaptive parameter adjustment scheme for influenza forecasting;Journal of King Saud University - Computer and Information Sciences;2023-01

4. Network Operation Status Evaluation Monitoring System Based on Machine Learning Algorithm;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

5. Analysis and Research of Network Information Security Evaluation Model Based on Machine Learning Algorithm;2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE);2022-10-28

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