On the benefits of domain adaptation techniques for quality of transmission estimation in optical networks
暂无分享,去创建一个
[1] Shiliang Sun,et al. A survey of multi-source domain adaptation , 2015, Inf. Fusion.
[2] Marco Ruffini,et al. An Overview on Application of Machine Learning Techniques in Optical Networks , 2018, IEEE Communications Surveys & Tutorials.
[3] Kate Saenko,et al. Correlation Alignment for Unsupervised Domain Adaptation , 2016, Domain Adaptation in Computer Vision Applications.
[4] Daniel C. Kilper,et al. Model transfer of QoT prediction in optical networks based on artificial neural networks , 2019, IEEE/OSA Journal of Optical Communications and Networking.
[5] Roberto Proietti,et al. Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks , 2020, 2020 Optical Fiber Communications Conference and Exhibition (OFC).
[6] Roberto Proietti,et al. Exploiting Multi-Task Learning to Achieve Effective Transfer Deep Reinforcement Learning in Elastic Optical Networks , 2020, 2020 Optical Fiber Communications Conference and Exhibition (OFC).
[7] Alessandro Giusti,et al. Assessment of Domain Adaptation Approaches for QoT Estimation in Optical Networks , 2020, 2020 Optical Fiber Communications Conference and Exhibition (OFC).
[8] H. Avramopoulos,et al. ORCHESTRA - Optical performance monitoring enabling flexible networking , 2015, 2015 17th International Conference on Transparent Optical Networks (ICTON).
[9] Massimo Tornatore,et al. Reducing probes for quality of transmission estimation in optical networks with active learning , 2019, IEEE/OSA Journal of Optical Communications and Networking.
[10] Jure Leskovec,et al. Representation Learning on Graphs: Methods and Applications , 2017, IEEE Data Eng. Bull..
[11] Yingxiong Song,et al. Transfer learning assisted deep neural network for OSNR estimation. , 2019, Optics express.
[12] Songnian Fu,et al. Transfer learning simplified multi-task deep neural network for PDM-64QAM optical performance monitoring. , 2020, Optics express.
[13] Hal Daumé,et al. Frustratingly Easy Domain Adaptation , 2007, ACL.
[14] Nils M. Kriege,et al. A survey on graph kernels , 2019, Applied Network Science.
[15] Patricia Layec,et al. Learning life cycle to speed up autonomic optical transmission and networking adoption , 2019, IEEE/OSA Journal of Optical Communications and Networking.
[16] Zhaopeng Xu,et al. Transfer Learning Aided Neural Networks for Nonlinear Equalization in Short-Reach Direct Detection Systems , 2020, 2020 Optical Fiber Communications Conference and Exhibition (OFC).
[17] Roberto Proietti,et al. Demonstration of distributed collaborative learning with end-to-end QoT estimation in multi-domain elastic optical networks. , 2019, Optics express.
[18] Luca Barletta,et al. Machine-learning method for quality of transmission prediction of unestablished lightpaths , 2018, IEEE/OSA Journal of Optical Communications and Networking.
[19] Jie Zhang,et al. Transductive Transfer Learning-Based Spectrum Optimization for Resource Reservation in Seven-Core Elastic Optical Networks , 2019, Journal of Lightwave Technology.