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Learning from Points and Patches: A Pre-trained Hybrid Attention Transformer for Time Series Analysis
Time-series data generated by Web services and connected systems support applications such as user activity analysis, service monitoring, and resource management. However, learning transferable representations from heterogeneous time series remains challenging due to diverse temporal patterns, varia
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