%0 Conference Paper %1 conf/etfa/MaschlerKW21 %A Maschler, Benjamin %A Knodel, Tim %A Weyrich, Michael %B ETFA %D 2021 %I IEEE %K dblp %P 1-8 %T Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data. %U http://dblp.uni-trier.de/db/conf/etfa/etfa2021.html#MaschlerKW21 %@ 978-1-7281-2989-1

@inproceedings{conf/etfa/MaschlerKW21, added-at = {2021-12-07T00:00:00.000+0100}, author = {Maschler, Benjamin and Knodel, Tim and Weyrich, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2bb2dffedf8c009c61ee96831c3fa1dfd/dblp}, booktitle = {ETFA}, crossref = {conf/etfa/2021}, ee = {https://doi.org/10.1109/ETFA45728.2021.9613542}, interhash = {c4bd640fff7547c7de5d8b29a4bf1652}, intrahash = {bb2dffedf8c009c61ee96831c3fa1dfd}, isbn = {978-1-7281-2989-1}, keywords = {dblp}, pages = {1-8}, publisher = {IEEE}, timestamp = {2024-04-10T00:17:45.000+0200}, title = {Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data.}, url = {http://dblp.uni-trier.de/db/conf/etfa/etfa2021.html#MaschlerKW21}, year = 2021 }