L2GTX: From Local to Global Time Series Explanations

arXiv:2603.13065v2 Announce Type: replace-cross Abstract: Deep learning models achieve high accuracy in time series classification, yet understanding their class-level decision behaviour remains challenging. Explanations for time series must respect temporal dependencies and identify patterns that recur across instances. Existing approaches face three limitations: model-agnostic XAI…

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Source: cs.AI updates on arXiv.org

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