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Associating machine-learning and analytical models for quality of transmission estimation: combining the best of both worlds.

, , and . JOCN, 13 (6): C21-C30 (2021)

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System Design Tool for High Bit Rate Terrestrial Transmission Systems With Coherent Detection., , , , , , , and . Bell Labs Tech. J., 18 (3): 251-266 (2013)Learning process for reducing uncertainties on network parameters and design margins., , , and . OFC, page 1-3. IEEE, (2017)How Uncertainty on the Fiber Span Lengths Influences QoT Estimation using Machine Learning in WDM Networks., , , , , and . OFC, page 1-3. IEEE, (2020)Machine learning for quality of transmission: a picture of the benefits fairness when planning WDM networks., , , , and . JOCN, 13 (12): 331-346 (2021)Transfer Learning from Unbiased Training Data Sets for QoT Estimation in WDM Networks., , , , and . ECOC, page 1-4. IEEE, (2020)Automated Fiber Type Identification., , , , and . ECOC, page 1-3. IEEE, (2018)Accurate QoT Estimation by Means of a Reduction of EDFA Characteristics Uncertainties with Machine Learning., , and . ONDM, page 1-3. IEEE, (2020)Associating machine-learning and analytical models for quality of transmission estimation: combining the best of both worlds., , and . JOCN, 13 (6): C21-C30 (2021)Learning Process for Reducing Uncertainties on Network Parameters and Design Margins., , , , and . JOCN, 10 (2): A298-A306 (2018)Interactive Automated Fiber Type Identification., , , , , , , , and . ECOC, page 1-3. IEEE, (2018)