-
) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
-
analysis, modeling and applied ML experience is recommended, given the need to identify patterns in large-scale behavioral logs. Software reverse engineering (Frida, IDA Pro) experience is recommended
Searches related to numerical modeling
Enter an email to receive alerts for numerical-modeling positions