Multiple Tree Model Integration for Transportation Mode Recognition-Reference-Cited by-同舟云学术

Multiple Tree Model Integration for Transportation Mode Recognition

Published:2021-09-21 Issue: Volume: Page:
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Container-title:Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
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Author:

Ren Yan¹

Affiliation:

1. Renmin University of China, China

Publisher

ACM

Link

Reference16 articles.

Cited by 5 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

2. An Ensemble Framework Based on Fine Multi-Window Feature Engineering and Overfitting Prevention for Transportation Mode Recognition;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

3. Enhancing Locomotion Recognition with Specialized Features and Map Information via XGBoost;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

4. Road Network Enhanced Transportation Mode Recognition with an Ensemble Machine Learning Model;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

5. Enhanced SHL Recognition Using Machine Learning and Deep Learning Models with Multi-source Data;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08