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    Chapter and Conference Paper

    Orthrus: A Dual-Branch Model for Time Series Forecasting with Multiple Exogenous Series

    Extending the forecasting horizon is a crucial demand for real applications in time series forecasting with multiple exogenous series (TFME). Previous studies adopt Transformer to effectively capture long-term...

    Ziang Yang, Biyu Zhou, Xuehai Tang in Database Systems for Advanced Applications (2023)

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    Chapter and Conference Paper

    TS-Bert: Time Series Anomaly Detection via Pre-training Model Bert

    Anomaly detection of time series is of great importance in data mining research. Current state of the art suffer from scalability, over reliance on labels and high false positives. To this end, a novel framewo...

    Weixia Dang, Biyu Zhou, Lingwei Wei, Weigang Zhang in Computational Science – ICCS 2021 (2021)