Transfer Learning With Time Series Data: A Systematic Mapping Study

Transfer Learning is a well-studied concept in machine learning, that relaxes the assumption that training and testing data need to be drawn from the same distribution. Recent success in applying transfer learning in the area of computer vision has motivated research on transfer learning also in con...

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Bibliographic Details
Main Authors: Manuel Weber, Maximilian Auch, Christoph Doblander, Peter Mandl, Hans-Arno Jacobsen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9646532/