Nyoman Bogi Aditya Karna

Comparative evaluation of active learning, random sampling, and deep learning for smart contract vulnerability detection

Findings indicate that ensemble-based classifiers (Random Forest, CatBoost) are better suited to this structured smart contract feature representation than the evaluated deep learning baselines.