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On the Necessity of Using Supervised Machine Learning for Risk-based Screening of Distribution Transformers: An Industrial Case Study.
A. M. Sakura R. H. Attanayake
R. M. Chandima Ratnayake
Published in:
IEEM (2022)
Keyphrases
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supervised machine learning
manually annotated
supervised learning
active learning
probability distribution
ground truth
risk management
risk factors
expected loss