WinTSR multiplies feature ablation scores by a time relevance score obtained by masking all features at each lag, improving faithfulness metrics across five models and three datasets.
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WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
WinTSR multiplies feature ablation scores by a time relevance score obtained by masking all features at each lag, improving faithfulness metrics across five models and three datasets.