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Evaluating Explanation Methods for Multivariate Time Series Classification
In many applications classification alone is not enough, we often need to classify but also understand what the model learns (e. g., why was a prediction given, based on what information in the data).
Robust Framework for Explanation Evaluation in Time Series Classification
This paper provides a framework to quantitatively evaluate and rank explanation methods for time series classification.
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