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Conferences > OFC > 2021 > Th1A > Th1A.24

Semi-supervised Anomaly Detection with Imbalanced Data for Failure Detection in Optical Networks

SongLin Liu, Danshi Wang, Chunyu Zhang, Lingling Wang, and Min Zhang

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Abstract

We proposed an autoencoder-based anomaly-detection for optical failure detection with imbalanced data (<3%), which identifies implicit failure and achieves detection accuracy of 96.8% and F1 value of 0.9224.

© 2021 The Author(s)

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