@inproceedings{naidoo:hal-03222815,
  TITLE = {{Unsupervised Anomaly Detection of Healthcare Providers Using Generative Adversarial Networks}},
  AUTHOR = {Naidoo, Krishnan and Marivate, Vukosi},
  URL = {https://inria.hal.science/hal-03222815},
  NOTE = {Part 5: Big Data and Machine Learning},
  BOOKTITLE = {{19th Conference on e-Business, e-Services and e-Society (I3E)}},
  ADDRESS = {Skukuza, South Africa},
  EDITOR = {Mari{\'e} Hattingh and Machdel Matthee and Hanlie Smuts and Ilias Pappas and Yogesh K. Dwivedi and Matti M{\"a}ntym{\"a}ki},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Responsible Design, Implementation and Use of Information and Communication Technology},
  VOLUME = {LNCS-12066},
  NUMBER = {Part I},
  PAGES = {419-430},
  YEAR = {2020},
  MONTH = Apr,
  DOI = {10.1007/978-3-030-44999-5\_35},
  KEYWORDS = {Generative Adversarial Networks ; Anomaly detection ; Healthcare providers ; Machine learning ; Deep learning},
  PDF = {https://inria.hal.science/hal-03222815/file/492453_1_En_35_Chapter.pdf},
  HAL_ID = {hal-03222815},
  HAL_VERSION = {v1},
}