Classical machine learning and deep neural network ensemble model for GPS-based activity recognition-Reference-Cited by-同舟云学术

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Classical machine learning and deep neural network ensemble model for GPS-based activity recognition

Published:2021-09-21 Issue: Volume: Page:
ISSN:
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:

Kojima Ryoichi¹,Legaspi Roberto¹,Mishima Yutaro¹,Wada Shinya¹

Affiliation:

1. KDDI Research, INC., Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460418.3479386

Reference26 articles.

1. 2016. Adversarial validation part one. http://fastml.com/adversarial-validation-part-one/. 2016. Adversarial validation part one. http://fastml.com/adversarial-validation-part-one/.

2. 2016. Adversarial validation part two. http://fastml.com/adversarial-validation-part-two/. 2016. Adversarial validation part two. http://fastml.com/adversarial-validation-part-two/.

3. 2021. Sussex-Huawei Locomotion Challenges. http://www.shl-dataset.org/challenges/. 2021. Sussex-Huawei Locomotion Challenges. http://www.shl-dataset.org/challenges/.

4. Optuna

5. Multimodal Machine Learning: A Survey and Taxonomy

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