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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3152316
Abstract: Machine learning-based diagnosis methods have achieved remarkable success under the assumption that the training and test data are identically distributed. However, a critical requirement of these methods is the generalization capability to unseen domains when…
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Keywords:
unseen domains;
diagnosis;
agnostic learning;
model agnostic ... See more keywords