Self, Semi and Fully Supervised Learning for Autoencoders using Ternary Classification-Reference-Cited by-同舟云学术

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Self, Semi and Fully Supervised Learning for Autoencoders using Ternary Classification

Published:2024-06-17 Issue: Volume:207 Page:33-40
ISSN:
Container-title:2024 IEEE International Conference on Prognostics and Health Management (ICPHM)
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Author:

Gliga Lavinius-Ioan¹,Zegers Jeroen¹,Gomez Carlos Tiana¹,Bovijn Pieter¹

Affiliation:

1. Monitoring Group,Flanders MAKE,MotionS Department,Lommel,BE,3920

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625768/10626308/10627326.pdf?arnumber=10627326

Reference19 articles.

1. Anomaly Detection for Predictive Maintenance in Industry 4.0- A survey

2. Deep Learning for Anomaly Detection

3. Towards Corner Case Detection for Autonomous Driving

4. Autoencoder with adaptive loss function for supervised anomaly detection;Kanishima

5. Forward and inverse design of kirigami via supervised autoencoder

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