Explaining Anomalies Detected by Autoencoders Using SHAP.

Liat Antwarg
Liat Antwarg

CoRR, 2019.

Cited by: 5|Views13
EI

Abstract:

Anomaly detection algorithms are often thought to be limited because they don't facilitate the process of validating results performed by domain experts. In Contrast, deep learning algorithms for anomaly detection, such as autoencoders, point out the outliers, saving experts the time-consuming task of examining normal cases in order to ...More

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