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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ryzhikov, Artem, Borisyak, Maxim, Ustyuzhanin, Andrey, Derkach, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627226/
https://www.ncbi.nlm.nih.gov/pubmed/34901422
http://dx.doi.org/10.7717/peerj-cs.757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627226/
https://www.ncbi.nlm.nih.gov/pubmed/34901422
http://dx.doi.org/10.7717/peerj-cs.757

Ejemplares similares