Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection

Lydia Gauerhof, Yuki Hagiwara, Christoph Schorn, Mario Trapp. Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection. In 2020 IEEE International Symposium on Software Reliability Engineering Workshops, ISSRE Workshops, Coimbra, Portugal, October 12-15, 2020. pages 249-254, IEEE, 2020. [doi]

@inproceedings{GauerhofHST20,
  title = {Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection},
  author = {Lydia Gauerhof and Yuki Hagiwara and Christoph Schorn and Mario Trapp},
  year = {2020},
  doi = {10.1109/ISSREW51248.2020.00081},
  url = {https://doi.org/10.1109/ISSREW51248.2020.00081},
  researchr = {https://researchr.org/publication/GauerhofHST20},
  cites = {0},
  citedby = {0},
  pages = {249-254},
  booktitle = {2020 IEEE International Symposium on Software Reliability Engineering Workshops, ISSRE Workshops, Coimbra, Portugal, October 12-15, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7735-9},
}