On the Application of Explainable Artificial Intelligence to Lightpath QoT Estimation

We demonstrate the potentialities of explainable AI when applied to distill knowledge from a trained supervised machine learning model for lightpath quality of transmission estimation in optical networks, with synthetic datasets. © 2021 The Author(s)