NFAD: fixing anomaly detection using normalizing flows
Anomaly detection is a challenging task that frequently arises in practically all areas of industry and science, from fraud detection and data quality monitoring to finding rare cases of diseases and searching for new physics. Most of the conventional approaches to anomaly detection, such as one-cla...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/3a3dd334749642418df3f04c98b798a8 |
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