%0 Conference Paper %1 conf/ipccc/ChengXZL19 %A Cheng, Yongliang %A Xu, Yan %A Zhong, Hong %A Liu, Yi %B IPCCC %D 2019 %I IEEE %K dblp %P 1-7 %T HS-TCN: A Semi-supervised Hierarchical Stacking Temporal Convolutional Network for Anomaly Detection in IoT. %U http://dblp.uni-trier.de/db/conf/ipccc/ipccc2019.html#ChengXZL19 %@ 978-1-7281-1025-7

@inproceedings{conf/ipccc/ChengXZL19, added-at = {2020-09-29T00:00:00.000+0200}, author = {Cheng, Yongliang and Xu, Yan and Zhong, Hong and Liu, Yi}, biburl = {https://www.bibsonomy.org/bibtex/22cee3610490fc14ae2312fc928b7797f/dblp}, booktitle = {IPCCC}, crossref = {conf/ipccc/2019}, ee = {https://doi.org/10.1109/IPCCC47392.2019.8958755}, interhash = {775e23e0f45eb6a99b1e7685ea8139c1}, intrahash = {2cee3610490fc14ae2312fc928b7797f}, isbn = {978-1-7281-1025-7}, keywords = {dblp}, pages = {1-7}, publisher = {IEEE}, timestamp = {2020-09-30T11:49:20.000+0200}, title = {HS-TCN: A Semi-supervised Hierarchical Stacking Temporal Convolutional Network for Anomaly Detection in IoT.}, url = {http://dblp.uni-trier.de/db/conf/ipccc/ipccc2019.html#ChengXZL19}, year = 2019 }