An ensemble learning model with dynamic sampling and feature fusion network for class sparsity in credit risk classification
An ensemble learning model with dynamic sampling and feature fusion network for class sparsity in credit risk classification
Changhua He,Lean Yu,2 Authors,Chuanbin Liu
2025 · DOI: 10.1007/s10479-025-06528-5
Annals of Operations Research · 2 Citations
TLDR
A dual-view ensemble learning model to tackle class sparsity and its associated traits of overlap, noise, and irrelevance is designed and results demonstrate its excellent performance relative to other benchmarks.