P. Koliou

Improving risky driving behavior classification via conditional GAN-augmented hybrid machine learning models: a two-country naturalistic driving study

A hybrid machine learning pipeline that combines Conditional Generative Adversarial Networks (cGANs) for creating realistic synthetic samples with robust classifiers, including an XGBoost-Random Forest ensemble, a Recurrent Neural Network boosted by AdaBoost, and dedicated GAN-driven models is introduced.