%0 Conference Paper %1 conf/icfhr/AlbertiPWIL18 %A Alberti, Michele %A Pondenkandath, Vinaychandran %A Würsch, Marcel %A Ingold, Rolf %A Liwicki, Marcus %B ICFHR %D 2018 %I IEEE Computer Society %K dblp %P 423-428 %T DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. %U http://dblp.uni-trier.de/db/conf/icfhr/icfhr2018.html#AlbertiPWIL18 %@ 978-1-5386-5875-8

@inproceedings{conf/icfhr/AlbertiPWIL18, added-at = {2019-02-11T00:00:00.000+0100}, author = {Alberti, Michele and Pondenkandath, Vinaychandran and Würsch, Marcel and Ingold, Rolf and Liwicki, Marcus}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b7aaeeddd2525b94c5e79550356480d9/dblp}, booktitle = {ICFHR}, crossref = {conf/icfhr/2018}, ee = {http://doi.ieeecomputersociety.org/10.1109/ICFHR-2018.2018.00080}, interhash = {bcac911200408457f1cad048747b924e}, intrahash = {b7aaeeddd2525b94c5e79550356480d9}, isbn = {978-1-5386-5875-8}, keywords = {dblp}, pages = {423-428}, publisher = {IEEE Computer Society}, timestamp = {2019-09-27T14:47:51.000+0200}, title = {DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments.}, url = {http://dblp.uni-trier.de/db/conf/icfhr/icfhr2018.html#AlbertiPWIL18}, year = 2018 }