Towards a low-code solution for monitoring machine learning model performance

Panagiotis Kourouklidis, Dimitris S. Kolovos, Nicholas Matragkas, Joost Noppen. Towards a low-code solution for monitoring machine learning model performance. In Esther Guerra, Ludovico Iovino, editors, MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, Virtual Event, Canada, 18-23 October, 2020, Companion Proceedings. ACM, 2020. [doi]

@inproceedings{KourouklidisKMN20,
  title = {Towards a low-code solution for monitoring machine learning model performance},
  author = {Panagiotis Kourouklidis and Dimitris S. Kolovos and Nicholas Matragkas and Joost Noppen},
  year = {2020},
  doi = {10.1145/3417990.3420196},
  url = {https://doi.org/10.1145/3417990.3420196},
  researchr = {https://researchr.org/publication/KourouklidisKMN20},
  cites = {0},
  citedby = {0},
  booktitle = {MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, Virtual Event, Canada, 18-23 October, 2020, Companion Proceedings},
  editor = {Esther Guerra and Ludovico Iovino},
  publisher = {ACM},
  isbn = {978-1-4503-8135-2},
}