Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach

Somayeh Zamani, Hamed Talebi, Gunnar Stevens. Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach. In Wei Liu, Linsey Pang, editors, Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 21, 2022. Volume 3375 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]

@inproceedings{ZamaniTS22,
  title = {Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach},
  author = {Somayeh Zamani and Hamed Talebi and Gunnar Stevens},
  year = {2022},
  url = {https://ceur-ws.org/Vol-3375/paper8.pdf},
  researchr = {https://researchr.org/publication/ZamaniTS22},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 21, 2022},
  editor = {Wei Liu and Linsey Pang},
  volume = {3375},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}