Work

Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores

Year: 2026

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.7593544

Authors: Dongha Kim, Seunghwan Park

Institution: Kangwon National University

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: green

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea

OpenAlex ID: W7213997048

Cites:

Cited by:

Related to: