A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection

Gcinizwe Dlamini, Rufina Galieva, Muhammad Fahim. A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection. In 16th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2019, Abu Dhabi, UAE, November 3-7, 2019. pages 1-5, IEEE Computer Society, 2019. [doi]

Abstract

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