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Conferences > ECEOC > 2022 > We3B > We3B.4
  • European Conference on Optical Communication (ECOC) 2022
  • Technical Digest Series (Optica Publishing Group, 2022),
  • paper We3B.4

Quantifying Features’ Contribution for ML-based Quality-of-Transmission Estimation using Explainable AI

Omran Ayoub, Davide Andreoletti, Sebastian Troia, Silvia Giordano, Andrea Bianco, and Cristina Rottondi

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Abstract

We apply an explainable artificial intelligence framework to interpret quality of transmission predictions produced by a machine learning model. The framework identifies the combinations of features’ values relevant to drive the prediction process.

© 2022 The Author(s)

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