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Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability.

, , , and . HICSS, page 1-10. ScholarSpace, (2021)

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Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology., , and . Wirtschaftsinformatik, page 17-31. University of Siegen, Germany / AISeL, (2019)How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting., , , and . CBI (1), page 20-29. IEEE, (2020)Cognitive computing for customer profiling: meta classification for gender prediction., , and . Electron. Mark., 29 (1): 93-106 (2019)Supervised machine learning in service systems: deriving insights from distributed data.. Karlsruhe Institute of Technology, Germany, (2019)Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime., , , and . IESS, volume 377 of Lecture Notes in Business Information Processing, page 107-120. Springer, (2020)Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability., , , and . HICSS, page 1-10. ScholarSpace, (2021)Machine Learning in Artificial Intelligence: Towards a Common Understanding., , , and . CoRR, (2020)Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability., , , and . CoRR, (2020)Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda., , , and . HICSS, page 1-8. ScholarSpace / AIS Electronic Library (AISeL), (2018)Machine Learning in Artificial Intelligence: Towards a Common Understanding., , , and . HICSS, page 1-10. ScholarSpace, (2019)