Demystifying the Effects of Non-Independence in Federated Learning. - Stefan Arnold; Dilara Yesilbas (CoRR, 2021)

An Application-centric Perspective on Industrial Artificial Intelligence. - Markus Schmitz; Dilara Yesilbas (AMCIS, 2022)

Rethinking Pre-Training in Industrial Quality Control. - Dilara Yesilbas; Stefan Arnold; Alex Felker (Wirtschaftsinformatik, 2022)

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) - Dilara Yesilbas (2022)

Driving Context into Text-to-Text Privatization. - Stefan Arnold; Dilara Yesilbas; Sven Weinzierl (CoRR, 2023)

Guiding Text-to-Text Privatization by Syntax. - Stefan Arnold; Dilara Yesilbas; Sven Weinzierl (CoRR, 2023)

Documentation Practices of Artificial Intelligence. - Stefan Arnold; Dilara Yesilbas; Rene Gröbner; Dominik Riedelbauch; Maik Horn; Sven Weinzierl (CoRR, 2024)

Routing in Sparsely-gated Language Models responds to Context. - Stefan Arnold; Marian Fietta; Dilara Yesilbas (CoRR, 2024)