"Augur: a step towards realistic drift detection in production ML systems."

Grace A. Lewis et al. (2022)

> Home

Details and statistics

DOI: 10.1145/3526073.3527590

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/se4rai/LewisEPC22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/se4rai/LewisEPC22
Grace A. Lewis, Sebastián Echeverría, Lena Pons, Jeffrey Chrabaszcz:
Augur: a step towards realistic drift detection in production ML systems. SE4RAI@ICSE 2022: 37-44

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.