Context by proxy: Identifying contextual anomalies using an output proxy
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Author / Producer
Date
2019
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Permanent link
Publication status
published
External links
Editor
Book title
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19)
Journal / series
Volume
Pages / Article No.
2059 - 2068
Publisher
Association for Computing Machinery
Event
25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
anomaly detection; unsupervised learning; recurrent neural networks; signal processing; automotive
Organisational unit
03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea