FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring-Reference-Cited by-同舟云学术

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FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring

Published:2023-09 Issue:5 Volume:38 Page:970-984
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Hu Chun-Yu,Hu Li-Sha,Yuan Lin,Lu Dian-Jie,Lyu Lei,Chen Yi-Qiang

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11390-023-3009-0.pdf

Reference41 articles.

1. Chen Y Q, Huang M Y, Hu C Y, Zhu Y C, Han F, Miao C Y. A coarse-to-fine feature selection method for accurate detection of cerebral small vessel disease. In Proc. the 2016 International Joint Conference on Neural Networks, July 2016, pp.2609–2616. DOI: 10.1109/IJCNN.2016.7727526.

2. Chen Y Q, Hu C Y, Hu B, Hu L S, Yu H, Miao C Y. Inferring cognitive wellness from motor patterns. IEEE Trans. Knowledge and Data Engineering, 2018, 30(12): 2340–2353. DOI: https://doi.org/10.1109/TKDE.2018.2820024.

3. Hu C Y, Chen Y Q, Peng X H, Yu H, Gao C L, Hu L S. A novel feature incremental learning method for sensorbased activity recognition. IEEE Trans. Knowledge and Data Engineering, 2019, 31(6): 1038–1050. DOI: https://doi.org/10.1109/TKDE.2018.2855159.

4. Dias D, Cunha J P S. Wearable health devices-vital sign monitoring, systems and technologies. Sensors, 2018, 18(8): 2414. DOI: https://doi.org/10.3390/s18082414.

5. Schauss G, Arquilla K, Anderson A. ARGONAUT: An inclusive design process for wearable health monitoring systems. In Proc. the 2022 CHI Conference on Human Factors in Computing Systems, Apr. 2022, Article No. 392. DOI: https://doi.org/10.1145/3491102.3517590.

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