Towards Interpretable Anomaly Detection: Unsupervised Deep Neural Network Approach using Feedback Loop

Ashima Chawla, Paul Jacob, Paddy G. Farrell, Erik Aumayr, Sheila Fallon. Towards Interpretable Anomaly Detection: Unsupervised Deep Neural Network Approach using Feedback Loop. In 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, April 25-29, 2022. pages 1-9, IEEE, 2022. [doi]

@inproceedings{ChawlaJFAF22,
  title = {Towards Interpretable Anomaly Detection: Unsupervised Deep Neural Network Approach using Feedback Loop},
  author = {Ashima Chawla and Paul Jacob and Paddy G. Farrell and Erik Aumayr and Sheila Fallon},
  year = {2022},
  doi = {10.1109/NOMS54207.2022.9789914},
  url = {https://doi.org/10.1109/NOMS54207.2022.9789914},
  researchr = {https://researchr.org/publication/ChawlaJFAF22},
  cites = {0},
  citedby = {0},
  pages = {1-9},
  booktitle = {2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, April 25-29, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-0601-7},
}