%0 Conference Paper %1 conf/bdc/TurvillBYZ20 %A Turvill, Danielle %A Barnby, Lee %A Yuan, Bo %A Zahir, Ali %B BDCAT %D 2020 %I IEEE %K dblp %P 77-86 %T A Survey of Interpretability of Machine Learning in Accelerator-based High Energy Physics. %U http://dblp.uni-trier.de/db/conf/bdc/bdcat2020.html#TurvillBYZ20 %@ 978-0-7381-2396-7

@inproceedings{conf/bdc/TurvillBYZ20, added-at = {2022-10-02T00:00:00.000+0200}, author = {Turvill, Danielle and Barnby, Lee and Yuan, Bo and Zahir, Ali}, biburl = {https://www.bibsonomy.org/bibtex/2d208877c5a9e9b36dc7b0a87620c2934/dblp}, booktitle = {BDCAT}, crossref = {conf/bdc/2020}, ee = {https://doi.org/10.1109/BDCAT50828.2020.00025}, interhash = {7bef2fe2333f3c2f1959e6cbe9adf609}, intrahash = {d208877c5a9e9b36dc7b0a87620c2934}, isbn = {978-0-7381-2396-7}, keywords = {dblp}, pages = {77-86}, publisher = {IEEE}, timestamp = {2024-04-09T12:19:39.000+0200}, title = {A Survey of Interpretability of Machine Learning in Accelerator-based High Energy Physics.}, url = {http://dblp.uni-trier.de/db/conf/bdc/bdcat2020.html#TurvillBYZ20}, year = 2020 }