2024
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
AISTATS 2024poster
The Random Forests classifier, a widely utilized off-the-shelf classification tool, assumes training and test samples come from the same distribution as other standard classifiers. However, in safety-critical scenarios like medical diagnosis and network attack detection, discrepancies between the tr…