usfAD: a robust anomaly detector based on unsupervised stochastic forest. Aryal, S., Santosh, K., & Dazeley, R. International Journal of Machine Learning and Cybernetics, 12(4):1137–1150, Springer, 2021. ![usfAD: a robust anomaly detector based on unsupervised stochastic forest [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper bibtex @article{aryal2021usfad,
title={usfAD: a robust anomaly detector based on unsupervised stochastic forest},
author={Aryal, Sunil and Santosh, KC and Dazeley, Richard},
journal={International Journal of Machine Learning and Cybernetics},
volume={12},
number={4},
pages={1137--1150},
year={2021},
publisher={Springer},
url_paper = {https://link.springer.com/article/10.1007/s13042-020-01225-0}
}
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