Aleksandar Iliev

Systematic Analysis of Deep Learning Models for Performance Assessment

The study establishes a multidimensional framework for assessing deep learning performance and identifies the need for evaluation strategies that jointly consider predictive capability, robustness, computational cost, and deployment constraints.