Convex and nonconvex nonparametric frontier-based classification methods for anomaly detection
Crossref DOI link: https://doi.org/10.1007/s00291-024-00751-5
Published Online: 2024-03-29
Published Print: 2024-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jin, Qianying https://orcid.org/0000-0002-8186-0656
Kerstens, Kristiaan
Van de Woestyne, Ignace
Funding for this research was provided by:
National Natural Science Foundation of China (72201127)
Text and Data Mining valid from 2024-03-29
Version of Record valid from 2024-03-29
Article History
Received: 16 February 2023
Accepted: 23 January 2024
First Online: 29 March 2024