%0 Conference Paper %1 conf/ijcnn/BacciuCM17 %A Bacciu, Davide %A Crecchi, Francesco %A Morelli, Davide %B IJCNN %D 2017 %I IEEE %K dblp %P 2080-2087 %T DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. %U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2017.html#BacciuCM17 %@ 978-1-5090-6182-2

@inproceedings{conf/ijcnn/BacciuCM17, added-at = {2019-09-16T00:00:00.000+0200}, author = {Bacciu, Davide and Crecchi, Francesco and Morelli, Davide}, biburl = {https://www.bibsonomy.org/bibtex/2671ddb0ab17088ea8e3990cae406463a/dblp}, booktitle = {IJCNN}, crossref = {conf/ijcnn/2017}, ee = {https://doi.org/10.1109/IJCNN.2017.7966106}, interhash = {ba53350df434357d016d3ddcda466bc4}, intrahash = {671ddb0ab17088ea8e3990cae406463a}, isbn = {978-1-5090-6182-2}, keywords = {dblp}, pages = {2080-2087}, publisher = {IEEE}, timestamp = {2019-09-17T13:23:44.000+0200}, title = {DropIn: Making reservoir computing neural networks robust to missing inputs by dropout.}, url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2017.html#BacciuCM17}, year = 2017 }