Customs Risk Assessment Based on Unsupervised Anomaly Detection Using Autoencoders - researchr publication authors

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Dion T. Oosterman, Wouter H. Langenkamp, Ellen L. van Bergen. Customs Risk Assessment Based on Unsupervised Anomaly Detection Using Autoencoders. In Kohei Arai, editor, Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference, IntelliSys 2021, Amsterdam, The Netherlands, 2-3 September, 2021, Volume 1. Volume 294 of Lecture Notes in Networks and Systems, pages 668-681, Springer, 2021. [doi]

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