C-SHAP extends SHAP to generate explanations based on high-level temporal concepts extracted from time series for improved human interpretability in high-stakes domains.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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C-SHAP for time series: An approach to high-level temporal explanations
C-SHAP extends SHAP to generate explanations based on high-level temporal concepts extracted from time series for improved human interpretability in high-stakes domains.