SSRNML & AI Methods
Explainable Autoencoder Anomaly Detection
The suggested model uses an explainable variational autoencoder to detect anomalies in multivariate time series data, overcoming issues of large data size, unknown anomalies, and unclear deep learning detection methods.
Featured in No. 48 on 8 May 2024 · 1 day after release
- Released
- 7 May 2024
- First featured
- No. 48 · 8 May 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 4819146
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).