"dLSTM: a new approach for anomaly detection using deep learning with ..."

Shigeru Maya, Ken Ueno, Takeichiro Nishikawa (2019)

> Home

Details and statistics

DOI: 10.1007/S41060-019-00186-0

access: open

type: Journal Article

metadata version: 2025-01-19

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/ijdsa/MayaUN19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ijdsa/MayaUN19
Shigeru Maya, Ken Ueno, Takeichiro Nishikawa:
dLSTM: a new approach for anomaly detection using deep learning with delayed prediction. Int. J. Data Sci. Anal. 8(2): 137-164 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.