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Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.00093v1 Announce Type: new Abstract: Imbalanced time series classification is often addressed by changing the training distribution, objective, logits, or final threshold. These interventions address important biases, yet leave a representation-level question unmeasured: after minority s…

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  1. 2026-09-02 04:00 · arXiv cs.LG
    Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification

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