%0 Conference Paper %1 conf/icdm/YuanW21 %A Yuan, Jingyi %A Weng, Yang %B ICDM %D 2021 %E Bailey, James %E Miettinen, Pauli %E Koh, Yun Sing %E Tao, Dacheng %E Wu, Xindong %I IEEE %K dblp %P 847-856 %T Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability. %U http://dblp.uni-trier.de/db/conf/icdm/icdm2021.html#YuanW21 %@ 978-1-6654-2398-4

@inproceedings{conf/icdm/YuanW21, added-at = {2022-01-31T00:00:00.000+0100}, author = {Yuan, Jingyi and Weng, Yang}, biburl = {https://www.bibsonomy.org/bibtex/2038d0183215672098da225a98e53519a/dblp}, booktitle = {ICDM}, crossref = {conf/icdm/2021}, editor = {Bailey, James and Miettinen, Pauli and Koh, Yun Sing and Tao, Dacheng and Wu, Xindong}, ee = {https://doi.org/10.1109/ICDM51629.2021.00096}, interhash = {67aab96b09c0f6c5ab238a8d6f2566e1}, intrahash = {038d0183215672098da225a98e53519a}, isbn = {978-1-6654-2398-4}, keywords = {dblp}, pages = {847-856}, publisher = {IEEE}, timestamp = {2024-04-09T10:21:43.000+0200}, title = {Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability.}, url = {http://dblp.uni-trier.de/db/conf/icdm/icdm2021.html#YuanW21}, year = 2021 }