Author

S. Adamovic

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Conference Open access 2026

A Comparative Study of Machine Learning Algorithms for Real-time Detection of Windows Portable Executable (PE) Malware

Evaluated tree-based ensemble models, Random Forest, XGBoost, and LightGBM, for static malware detection in PE files show that tree-based ensembles outperform deep learning models, such as Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNNs), as well as traditional machine learning approaches in handling high-dimensional tabular data.

Aleksandar Sandro Cvetković, S. Adamovic, Marko Šarac · SINTEZA · 0 citations