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Data Augmentation in Time Series Forecasting through Inverted Framework
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DOI：10.1016/j.patrec.2026.01.019.png)
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• DAIF is the first on-the-fly augmentation framework for inverted time series forecasting models. • We validate Frequency Filtering and Cross-variation Patching through experiments. • We extend the inverted framework to support MLP and RNN based models.
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3.3
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