ActivityGAN-Reference-Cited by-同舟云学术

ActivityGAN

Published:2020-09-10 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
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Short-container-title:

Author:

Li Xi'ang¹,Luo Jinqi²,Younes Rabih³

Affiliation:

1. Huazhong University of Science and, Technology, China

2. Nanyang Technological University, Singapore

3. Duke University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410530.3414367

Reference30 articles.

1. SenseGen: A deep learning architecture for synthetic sensor data generation

2. Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein gan. arXiv preprint arXiv:1701.07875 (2017). Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein gan. arXiv preprint arXiv:1701.07875 (2017).

3. Semi-supervised learning for human activity recognition using adversarial autoencoders

4. Window Size Impact in Human Activity Recognition

5. Akram Bayat Marc Pomplun and Duc A Tran. [n.d.]. A study on human activity recognition using accelerometer data from smartphones. Procedia Computer Science ([n. d.]). Akram Bayat Marc Pomplun and Duc A Tran. [n.d.]. A study on human activity recognition using accelerometer data from smartphones. Procedia Computer Science ([n. d.]).

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