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- BibTeX key
- conf/bigdataconf/QuinnPBK20
- entry type
- inproceedings
- booktitle
- IEEE BigData
- year
- 2020
- pages
- 2034-2037
- publisher
- IEEE
- crossref
- conf/bigdataconf/2020
- ee
- https://doi.org/10.1109/BigData50022.2020.9377760
- isbn
- 978-1-7281-6251-5
- url
- http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2020.html#QuinnPBK20
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- please select -%0 Conference Paper
%1 conf/bigdataconf/QuinnPBK20
%A Quinn, Mary
%A Piper, Blake
%A Bliss, James P.
%A Keever, David
%B IEEE BigData
%D 2020
%E Wu, Xintao
%E Jermaine, Chris
%E Xiong, Li
%E Hu, Xiaohua
%E Kotevska, Olivera
%E Lu, Siyuan
%E Xu, Weija
%E Aluru, Srinivas
%E Zhai, Chengxiang
%E Al-Masri, Eyhab
%E Chen, Zhiyuan
%E Saltz, Jeff
%I IEEE
%K dblp
%P 2034-2037
%T Recommended Methods for Using the 2020 NIST Principles for AI Explainability.
%U http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2020.html#QuinnPBK20
%@ 978-1-7281-6251-5
@inproceedings{conf/bigdataconf/QuinnPBK20,
added-at = {2021-07-20T00:00:00.000+0200},
author = {Quinn, Mary and Piper, Blake and Bliss, James P. and Keever, David},
biburl = {https://www.bibsonomy.org/bibtex/2c0c525a709aabf5b9113238fe69eb641/dblp},
booktitle = {IEEE BigData},
crossref = {conf/bigdataconf/2020},
editor = {Wu, Xintao and Jermaine, Chris and Xiong, Li and Hu, Xiaohua and Kotevska, Olivera and Lu, Siyuan and Xu, Weija and Aluru, Srinivas and Zhai, Chengxiang and Al-Masri, Eyhab and Chen, Zhiyuan and Saltz, Jeff},
ee = {https://doi.org/10.1109/BigData50022.2020.9377760},
interhash = {9de7001790b47261065c953fc4724648},
intrahash = {c0c525a709aabf5b9113238fe69eb641},
isbn = {978-1-7281-6251-5},
keywords = {dblp},
pages = {2034-2037},
publisher = {IEEE},
timestamp = {2024-04-09T20:59:47.000+0200},
title = {Recommended Methods for Using the 2020 NIST Principles for AI Explainability.},
url = {http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2020.html#QuinnPBK20},
year = 2020
}