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There is an increasingly apparent need for validating the classifications made by deep learning systems in safety-critical applications like autonomous vehicle systems.
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2017
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2017
Cited alongside, same era.
J. Guo, G. Liu, Y. Zuo, and J. Wu, “An Anomaly Detection Framework Based on Autoencoder and Nearest Neighbor,” in 2018 15th International Conference on Service Systems and Service Management (ICSSSM) . IEEE, 7 2018, pp. 1–6. [Online]. Available: https://ieeexplore.ieee.org/document/8464983/
2018
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2018
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2018
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T. Amarbayasgalan, B. Jargalsaikhan, K. Ryu, T. Amarbayasgalan, B. Jargalsaikhan, and K. H. Ryu, “Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering,” Applied Sciences , vol. 8, no. 9, p. 1468, 8 2018. [Online]. Available: http://www.mdpi.com/2076-3417/8/9/1468
2076
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