Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation

Wei Wang, Chuang Wang, Tao Cui, Yue Li

Open source

DOI
10.1109/access.2020.2993839
Published
2020
Container
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/access.2020.2993839,
  title = {Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation},
  author = {Wei Wang and Chuang Wang and Tao Cui and Yue Li},
  year = {2020},
  journal = {IEEE Access},
  doi = {10.1109/access.2020.2993839},
  url = {https://doi.org/10.1109/access.2020.2993839}
}

RIS

TY  - JOUR
TI  - Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation
AU  - Wei Wang
AU  - Chuang Wang
AU  - Tao Cui
AU  - Yue Li
PY  - 2020
JO  - IEEE Access
DO  - 10.1109/access.2020.2993839
UR  - https://doi.org/10.1109/access.2020.2993839
ER  -

APA

Wang, W., Wang, C., Cui, T., & Li, Y. (2020). Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation. IEEE Access. https://doi.org/10.1109/access.2020.2993839

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