Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Self-Taught Anomaly Detection With Hybrid Unsupervised/Supervised Machine Learning in Optical Networks


    Published in:

    Publication date :

    2019-01-01


    Size :

    8 pages



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English


    Classification :

    DDC:    621.3692



    Improved Anomaly Detection using Integrated Supervised and Unsupervised Processing

    Hunt, Bobby | British Library Conference Proceedings | 2017


    Semi-Supervised Machine Learning for Spacecraft Anomaly Detection & Diagnosis

    Ramachandran, Sowmya / Rosengarten, Maia / Belardi, Christian | IEEE | 2020



    Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data

    Morris, Clint / Yang, Jidong J. / Chorzepa, Mi Geum et al. | ASCE | 2022


    Unsupervised Video Anomaly Detection with Self-Attention Based Feature Aggregating

    Ye, Zhenhao / Li, Yanlong / Cui, Zhichao et al. | IEEE | 2023