"SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications ..."

Haoyu Ren et al. (2022)

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DOI: 10.1007/978-3-031-19433-7_48

access: closed

type: Conference or Workshop Paper

metadata version: 2023-08-28

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  - conf/semweb/RenDAHER22
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Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler:
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. ISWC 2022: 845-862

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