An SPCL-Stacking ensemble learning framework for landslide susceptibility assessment
Machine learning has been increasingly applied to data driven landslide susceptibility assessment. However, false negative label noise introduced during negative sample selection and the limited predictive capability of single models remain unresolved issues. To address these issues, this study proposes an SPCL-Stackin...