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This project explores time series extrinsic regression (TSER), an underexplored task in machine learning. It adapts models originally proposed for classification (e.g., TSCMamba, ConvTran) to TSER and compares their performance with established architectures such as MLP and FCN.

Creat2025-09-17T19:29:12
Update2025-09-17T19:30:25
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