Meta-Ensemble Learning with Diverse Data Splits for Improved Respiratory Sound Classification
arXiv:2604.24096v1 Announce Type: cross
Abstract: Training reliable respiratory sound classification models remains challenging due to the limited size and subject diversity of datasets. Ensemble methods can improve robustness, but when base models ar…