%0 Conference Paper %1 conf/gi/GotteTH22 %A Götte, Gesa Marie %A Thielert, Bonito Steffen %A Herzog, Andreas %B GI-Jahrestagung %D 2022 %E Demmler, Daniel %E Krupka, Daniel %E Federrath, Hannes %I Gesellschaft für Informatik, Bonn %K dblp %P 1015-1021 %T Application-specific quality metrics for the assessment of data for deep learning from large datasets. %U http://dblp.uni-trier.de/db/conf/gi/gi2022.html#GotteTH22 %V P-326 %@ 978-3-88579-720-3

@inproceedings{conf/gi/GotteTH22, added-at = {2024-03-08T00:00:00.000+0100}, author = {Götte, Gesa Marie and Thielert, Bonito Steffen and Herzog, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/212d99099cd9de40a192ea2bac105861f/dblp}, booktitle = {GI-Jahrestagung}, crossref = {conf/gi/2022}, editor = {Demmler, Daniel and Krupka, Daniel and Federrath, Hannes}, ee = {https://doi.org/10.18420/inf2022_84}, interhash = {ffcafa8896a575d4c4a4d119fd0aab6f}, intrahash = {12d99099cd9de40a192ea2bac105861f}, isbn = {978-3-88579-720-3}, keywords = {dblp}, pages = {1015-1021}, publisher = {Gesellschaft für Informatik, Bonn}, series = {LNI}, timestamp = {2024-04-09T22:19:35.000+0200}, title = {Application-specific quality metrics for the assessment of data for deep learning from large datasets.}, url = {http://dblp.uni-trier.de/db/conf/gi/gi2022.html#GotteTH22}, volume = {P-326}, year = 2022 }