Jinying Zou, Ovanes Petrosian. Explainable AI: Using Shapley Value to Explain Complex Anomaly Detection ML-Based Systems. In Antonio J. Tallón-Ballesteros, Chi-Hua Chen, editors, Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020, Virtual Event, October 25-28, 2020. Volume 332 of Frontiers in Artificial Intelligence and Applications, pages 152-164, IOS Press, 2020. [doi]
@inproceedings{ZouP20,
title = {Explainable AI: Using Shapley Value to Explain Complex Anomaly Detection ML-Based Systems},
author = {Jinying Zou and Ovanes Petrosian},
year = {2020},
doi = {10.3233/FAIA200777},
url = {https://doi.org/10.3233/FAIA200777},
researchr = {https://researchr.org/publication/ZouP20},
cites = {0},
citedby = {0},
pages = {152-164},
booktitle = {Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020, Virtual Event, October 25-28, 2020},
editor = {Antonio J. Tallón-Ballesteros and Chi-Hua Chen},
volume = {332},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-64368-137-5},
}