Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID"STB: synthetic minority oversampling technique for tree-boosting models ..."
Li-Hua Li et al. (2023)
- Li-Hua Li, Ramli Ahmad, Radius Tanone
, Alok Kumar Sharma:
STB: synthetic minority oversampling technique for tree-boosting models for imbalanced datasets of intrusion detection systems. PeerJ Comput. Sci. 9: e1580 (2023)
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-05-07 20:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
