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Dilara Yesilbas

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2024
[i5]
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  - journals/corr/abs-2406-18620
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Stefan Arnold, Dilara Yesilbas, Rene Gröbner, Dominik Riedelbauch, Maik Horn, Sven Weinzierl:
Documentation Practices of Artificial Intelligence. CoRR abs/2406.18620 (2024)
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  - journals/corr/abs-2409-14107
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Stefan Arnold, Marian Fietta, Dilara Yesilbas:
Routing in Sparsely-gated Language Models responds to Context. CoRR abs/2409.14107 (2024)
2023
[i3]
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  - journals/corr/abs-2306-01457
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Stefan Arnold, Dilara Yesilbas, Sven Weinzierl:
Driving Context into Text-to-Text Privatization. CoRR abs/2306.01457 (2023)
[i2]
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  - journals/corr/abs-2306-01471
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Stefan Arnold, Dilara Yesilbas, Sven Weinzierl:
Guiding Text-to-Text Privatization by Syntax. CoRR abs/2306.01471 (2023)
2022
[b1]
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Dilara Yesilbas:
Deep Learning in Automatic Optical Inspection - Selected Studies in the Context of an Automotive Supplier (Deep Learning in der Automatischen Optischen Inspektion - Ausgewählte Studien im Kontext eines Automobilzulieferers). University of Erlangen-Nuremberg, Germany, 2022
[c2]
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  - conf/amcis/SchmitzY22
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Markus Schmitz, Dilara Yesilbas:
An Application-centric Perspective on Industrial Artificial Intelligence. AMCIS 2022
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Dilara Yesilbas, Stefan Arnold, Alex Felker:
Rethinking Pre-Training in Industrial Quality Control. Wirtschaftsinformatik 2022
2021
[i1]
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  - journals/corr/abs-2103-11226
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Stefan Arnold, Dilara Yesilbas:
Demystifying the Effects of Non-Independence in Federated Learning. CoRR abs/2103.11226 (2021)

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