442 citations · 902 across the 47 of their papers we have counts for
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cs.LG2020★ 119 cited
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning
Benjamin Maschler, Michael Weyrich
In this article, the concepts of transfer and continual learning are introduced. The ensuing review reveals promising approaches for industrial deep transfer learning, utilizing me…
cs.LG2020★ 65 cited
Transfer Learning as an Enabler of the Intelligent Digital Twin
Benjamin Maschler, Dominik Braun, Nasser Jazdi +1
Digital Twins have been described as beneficial in many areas, such as virtual commissioning, fault prediction or reconfiguration planning. Equipping Digital Twins with artificial…