Inna Kolyshkina, Simeon Simoff. The CRISP-ML Approach to Handling Causality and Interpretability Issues in Machine Learning. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. pages 2306-2312, IEEE, 2021. [doi]
@inproceedings{KolyshkinaS21-0,
title = {The CRISP-ML Approach to Handling Causality and Interpretability Issues in Machine Learning},
author = {Inna Kolyshkina and Simeon Simoff},
year = {2021},
doi = {10.1109/BigData52589.2021.9671754},
url = {https://doi.org/10.1109/BigData52589.2021.9671754},
researchr = {https://researchr.org/publication/KolyshkinaS21-0},
cites = {0},
citedby = {0},
pages = {2306-2312},
booktitle = {2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021},
publisher = {IEEE},
isbn = {978-1-6654-3902-2},
}