Sliding-Window Reordering with Overlap Averaging: A Simple Time-Domain Augmentation for Multivariate Forecasting
A simple procedure is described that unfolds the joint input-target sequence into overlapping sliding windows, randomly reorders a controlled fraction of them, and reconstructs the sequence by averaging across the overlaps, producing synthetic samples with controlled variation while limiting temporal distortion.
Jafar Bakhshaliyev, Johannes Burchert, Niels Landwehr et al.
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