Formulating QoT Estimation with Machine Learning Page 1 Formulating QoT Estimation with
Machine Learning Ippokratis Sartzetakis, Konstantinos Christodoulopoulos, Emmanuel …

We investigate the robustness of our spectral data driven machine learning based QoT
estimator by artificially noising the input features. The estimator shows superior robustness …

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks Page
1 Th3D.1.pdf OFC 2020 © OSA 2020 Evol-TL: Evolutionary Transfer Learning for QoT …

The ever-increasing demand for global internet traffic, together with evolving concepts of
software-defined networks and elastic-optical-networks, demand not only the total capacity …

The Perks of Using Machine Learning for QoT Estimation with Uncertain Network
Parameters Page 1 NeM3B.2.pdf Advanced Photonics Congress (IPR, Networks, NOMA, NP …

A Bayesian optimization-based approach was investigated with data extracted from a live
network as part of a field trial to retrieve hard-to-measure equipment parameters. These …

Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks Page 1
Th1H.1.pdf OFC 2019 © OSA 2019 Using Active Learning to Decrease Probes for QoT …

Machine learning (ML) is more and more used to address the challenges of managing the
physical layer of increasingly heterogeneous and complex optical networks. In this tutorial …

Missing Pieces Currently Preventing Effective Application of Machine Learning to QoT
Estimation in the Field Page 1 Missing Pieces Currently Preventing Effective Application of …

With a seven-channel WDM transmission over 1000 km, we experimentally study the data-
driven physics-and machine learning (ML)-based SNR estimation techniques. While the ML …