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

Grace A. Lewis, Sebastián Echeverría, Lena Pons, Jeffrey Chrabaszcz. Augur: a step towards realistic drift detection in production ML systems. In Qinghua Lu 0001, Xiwei Xu 0001, Liming Zhu 0001, John Grundy 0001, editors, Proceedings of the 1st Workshop on Software Engineering for Responsible AI, SE4RAI 2022, Pittsburgh, Pennsylvania, 19 May 2022. pages 37-44, ACM, 2022. [doi]

@inproceedings{LewisEPC22,
  title = {Augur: a step towards realistic drift detection in production ML systems},
  author = {Grace A. Lewis and Sebastián Echeverría and Lena Pons and Jeffrey Chrabaszcz},
  year = {2022},
  doi = {10.1145/3526073.3527590},
  url = {https://doi.org/10.1145/3526073.3527590},
  researchr = {https://researchr.org/publication/LewisEPC22},
  cites = {0},
  citedby = {0},
  pages = {37-44},
  booktitle = {Proceedings of the 1st Workshop on Software Engineering for Responsible AI, SE4RAI 2022, Pittsburgh, Pennsylvania, 19 May 2022},
  editor = {Qinghua Lu 0001 and Xiwei Xu 0001 and Liming Zhu 0001 and John Grundy 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9319-5},
}