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%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
}