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CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data.

, , , , and . IJCNN, page 1-8. IEEE, (2021)

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Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice., , , , and . IWQoS, page 1-10. IEEE, (2023)Grace: Interpretable Root Cause Analysis by Graph Convolutional Network for Microservices., , , , , , and . IWQoS, page 1-4. IEEE, (2023)A Topology-Aware Reliable Broadcast Scheme for Multidimensional VANET Scenarios., , and . CollaborateCom, volume 252 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 275-285. Springer, (2017)AD2S: Adaptive anomaly detection on sporadic data streams., , , , and . Comput. Commun., (September 2023)DSQNet: Domain SeQuence based Deep Neural Network for AGDs Detection., , , and . ISCC, page 1-7. IEEE, (2021)MicroCBR: Case-Based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting., , , , , , , and . ICCBR, volume 13405 of Lecture Notes in Computer Science, page 224-239. Springer, (2022)EEG-Based Depression Recognition Using Intrinsic Time-scale Decomposition and Temporal Convolution Network., , and . BIBE, page 5:1-5:6. ACM, (2021)An Accuracy Network Anomaly Detection Method Based on Ensemble Model., , , , and . ICASSP, page 8548-8552. IEEE, (2021)CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data., , , , and . IJCNN, page 1-8. IEEE, (2021)