%0 Thesis
%1 schlachter2021machine
%A Schlachter, Patrick
%B Informationstechnik
%C München
%D 2021
%I Verlag Dr. Hut
%K diss phf05 ubs_10005 ubs_20007 ubs_30077 unibibliografie
%T Machine learning in an open world: intra-class splitting and automatic measurement data plausibility check
%@ 978-3-8439-4804-3
@phdthesis{schlachter2021machine,
added-at = {2021-08-31T19:40:00.000+0200},
address = {München},
author = {Schlachter, Patrick},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e032d39802e0d54a772cf80595845ba7/unibiblio-3},
eventdate = {2021-04-08},
interhash = {29e7fb015ca1ca8efb127b8a5bd0dab7},
intrahash = {e032d39802e0d54a772cf80595845ba7},
isbn = {978-3-8439-4804-3},
keywords = {diss phf05 ubs_10005 ubs_20007 ubs_30077 unibibliografie},
language = {eng},
publisher = {Verlag Dr. Hut},
school = {Universität Stuttgart},
series = {Informationstechnik},
supervisor = {Yang, Bin},
supervisorgnd = {1038174171},
timestamp = {2021-08-31T17:40:00.000+0200},
title = {Machine learning in an open world: intra-class splitting and automatic measurement data plausibility check},
type = {Dissertation},
year = 2021
}