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Author

G. A. Sampedro

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2 papers indexed here

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Conference Aug 2026

Active Learning-Based Smart Contract Vulnerability Detection Using Ensemble Classifiers

Smart contract vulnerabilities continue to threaten the security and reliability of blockchain-based applications, especially as blockchain systems are increasingly integrated into digital finance, supply chains, identity management, and other intelligent service environments. In these convergent digital systems, depen...

G. A. Sampedro, Arlene R. Caballero · 0 citations
Open access Sep 2026

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.

G. A. Sampedro, Yan-Hui Cheng, Arlene R. Caballero et al. · 0 citations

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