Timely Classification and Verification of Network Traffic Using Gaussian Mixture Models. - Hassan Alizadeh; Harald Vranken; André Zúquete; Ali Miri (IEEE Access, 2020)

Promoting Rigour in Blockchains Energy & Environmental Footprint Research: A Systematic Literature Review. - Ashish Rajendra Sai; Harald Vranken (CoRR, 2022)

GLICE: Combining Graph Neural Networks and Program Slicing to Improve Software Vulnerability Detection. - Wesley de Kraker; Harald Vranken; Arjen Hommersom (EuroS&P Workshops, 2023)

Determining Optimal Incentive Policy for Decentralized Distributed Systems Using Reinforcement Learning. - Elitsa Pankovska; Ashish Rajendra Sai; Harald Vranken (ICBC, 2023)

Electricity Consumption of Ethereum and Filecoin: Advances in Models and Estimates. - Elitsa Pankovska; Ashish Rajendra Sai; Harald Vranken; Alan Ransil (SAC, 2024)

MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection. - Wesley de Kraker; Harald Vranken; Arjen Hommersom (Comput., 2025)