An ensemble resampling based transfer AdaBoost algorithm for small sample credit classification with class imbalance
| Year of publication: |
2025
|
|---|---|
| Authors: | Zhang, Xiaoming ; Yu, Lean ; Yin, Hang |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 65.2025, 6, p. 3779-3806
|
| Subject: | Class imbalance | Credit classification | Ensemble resampling | Small sample | Weight adaptive TrAdaBoost | Stichprobenerhebung | Sampling | Theorie | Theory | Klassifikation | Classification | Algorithmus | Algorithm |
-
Small sample data pricing research based on Reptile algorithm
Shen, Junxin, (2025)
-
Improving imbalanced machine learning with neighborhood-informed synthetic sample placement
Nasir, Murtaza, (2022)
-
ACRIPPER : a new associative classification based on RIPPER algorithm
Abu-Arqoub, Mohammed, (2021)
- More ...
-
A novel dual-weighted fuzzy proximal support vector machine with application to credit risk analysis
Yu, Lean, (2020)
-
Zhang, Xiaoming, (2022)
-
Domain adaptation-based multistage ensemble learning paradigm for credit risk evaluation
Zhang, Xiaoming, (2025)
- More ...