Jan 10, 2021 · We propose two approaches for integrating expert knowledge about class or failure mode dependent attributes into siamese neural networks (SNN).
The architecture of siamese neural networks (SNNs) is able to learn a similar- ity measure by distinguishing training examples of similar pairs from dissimilar.
For this reason, we propose two approaches for integrating expert knowledge about class or failure mode dependent attributes into siamese neural networks (SNN).
A siamese neural network is proposed that employs 2D convolutions for extracting temporal features data stream-wise, followed by graph convolution for ...
For this reason, we propose two approaches for integrating expert knowledge about class or failure mode dependent attributes into siamese neural networks (SNN).
For this reason, we propose two approaches for integrating expert knowledge about class or failure mode dependent attributes into siamese neural networks (SNN).
For this reason, we propose two approaches for integrating expert knowledge about class or failure mode dependent attributes into siamese neural networks (SNN).
Enhancing Siamese Neural Networks Through Expert Knowledge for Predictive Maintenance · List of references · Publications that cite this publication.
For this reason, we propose two approaches for integrating expert knowledge about class or failure mode dependent attributes into siamese neural networks (SNN).
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For this purpose, we propose a siamese neural network that employs 2D convolutions for extracting temporal features data stream-wise, followed by graph ...
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