A Survey of Interpretability of Machine Learning in Accelerator-based High Energy Physics

Danielle Turvill, Lee Barnby, Bo Yuan, Ali Zahir. A Survey of Interpretability of Machine Learning in Accelerator-based High Energy Physics. In 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2020, Leicester, United Kingdom, December 7-10, 2020. pages 77-86, IEEE, 2020. [doi]

@inproceedings{TurvillBYZ20,
  title = {A Survey of Interpretability of Machine Learning in Accelerator-based High Energy Physics},
  author = {Danielle Turvill and Lee Barnby and Bo Yuan and Ali Zahir},
  year = {2020},
  doi = {10.1109/BDCAT50828.2020.00025},
  url = {https://doi.org/10.1109/BDCAT50828.2020.00025},
  researchr = {https://researchr.org/publication/TurvillBYZ20},
  cites = {0},
  citedby = {0},
  pages = {77-86},
  booktitle = {7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2020, Leicester, United Kingdom, December 7-10, 2020},
  publisher = {IEEE},
  isbn = {978-0-7381-2396-7},
}