Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification

Hao Huang, Chenxiao Xu, Shinjae Yoo. Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification. In Chih-Cheng Hung, Jiman Hong, Alessio Bechini, Eunjee Song, editors, SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021. pages 924-933, ACM, 2021. [doi]

@inproceedings{HuangXY21,
  title = {Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification},
  author = {Hao Huang and Chenxiao Xu and Shinjae Yoo},
  year = {2021},
  doi = {10.1145/3412841.3441967},
  url = {https://doi.org/10.1145/3412841.3441967},
  researchr = {https://researchr.org/publication/HuangXY21},
  cites = {0},
  citedby = {0},
  pages = {924-933},
  booktitle = {SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021},
  editor = {Chih-Cheng Hung and Jiman Hong and Alessio Bechini and Eunjee Song},
  publisher = {ACM},
  isbn = {978-1-4503-8104-8},
}