%0 Conference Paper %1 conf/ieem/SchmetzVZRMZGB21 %A Schmetz, Arno %A Vahl, Christopher %A Zhen, Zhen %A Reibert, Daniel %A Mayer, Sebastian %A Zontar, Daniel %A Garcke, Jochen %A Brecher, Christian %B IEEM %D 2021 %I IEEE %K dblp %P 629-633 %T Decision Support by Interpretable Machine Learning in Acoustic Emission Based Cutting Tool Wear Prediction. %U http://dblp.uni-trier.de/db/conf/ieem/ieem2021.html#SchmetzVZRMZGB21 %@ 978-1-6654-3771-4

@inproceedings{conf/ieem/SchmetzVZRMZGB21, added-at = {2023-09-30T00:00:00.000+0200}, author = {Schmetz, Arno and Vahl, Christopher and Zhen, Zhen and Reibert, Daniel and Mayer, Sebastian and Zontar, Daniel and Garcke, Jochen and Brecher, Christian}, biburl = {https://www.bibsonomy.org/bibtex/226e3f9cf98a13b9167b18e69a7146884/dblp}, booktitle = {IEEM}, crossref = {conf/ieem/2021}, ee = {https://doi.org/10.1109/IEEM50564.2021.9673044}, interhash = {4e6066247f7a13dcb78c324e5789ae50}, intrahash = {26e3f9cf98a13b9167b18e69a7146884}, isbn = {978-1-6654-3771-4}, keywords = {dblp}, pages = {629-633}, publisher = {IEEE}, timestamp = {2024-04-09T21:48:08.000+0200}, title = {Decision Support by Interpretable Machine Learning in Acoustic Emission Based Cutting Tool Wear Prediction.}, url = {http://dblp.uni-trier.de/db/conf/ieem/ieem2021.html#SchmetzVZRMZGB21}, year = 2021 }