Equal-length segmentation matches or beats seven more complex segmentation strategies for SHAP-based time series explanations, and length-weighted normalisation of segment attributions improves evaluation scores.
In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge D
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An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification
Equal-length segmentation matches or beats seven more complex segmentation strategies for SHAP-based time series explanations, and length-weighted normalisation of segment attributions improves evaluation scores.