@InProceedings{delibasoglu_et_al:LIPIcs.TIME.2024.17,
author = {Delibasoglu, Ibrahim and Heintz, Fredrik},
title = {{Time Series Anomaly Detection Leveraging MSE Feedback with AutoEncoder and RNN}},
booktitle = {31st International Symposium on Temporal Representation and Reasoning (TIME 2024)},
pages = {17:1--17:12},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-349-2},
ISSN = {1868-8969},
year = {2024},
volume = {318},
editor = {Sala, Pietro and Sioutis, Michael and Wang, Fusheng},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2024.17},
URN = {urn:nbn:de:0030-drops-212244},
doi = {10.4230/LIPIcs.TIME.2024.17},
annote = {Keywords: Time series, Anomaly, Neural networks}
}