Towards Building Robust DNN Applications: An Industrial Case Study of Evolutionary Data Augmentation

Haruki Yokoyama, Satoshi Onoue, Shinji Kikuchi. Towards Building Robust DNN Applications: An Industrial Case Study of Evolutionary Data Augmentation. In 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020, Melbourne, Australia, September 21-25, 2020. pages 1184-1188, IEEE, 2020. [doi]

@inproceedings{YokoyamaOK20,
  title = {Towards Building Robust DNN Applications: An Industrial Case Study of Evolutionary Data Augmentation},
  author = {Haruki Yokoyama and Satoshi Onoue and Shinji Kikuchi},
  year = {2020},
  url = {https://ieeexplore.ieee.org/document/9286118},
  researchr = {https://researchr.org/publication/YokoyamaOK20},
  cites = {0},
  citedby = {0},
  pages = {1184-1188},
  booktitle = {35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020, Melbourne, Australia, September 21-25, 2020},
  publisher = {IEEE},
  isbn = {978-1-4503-6768-4},
}