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Creators/Authors contains: "Filali Boubrahimi, Soukaına"

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  1. ; ; ; (, DAWAK)
    Accepted Manuscript Full Text Available
  2. ; ; ; (, Lecture notes in computer science)
    In this paper, we propose Attention-based Counterfactual Explanation (AB-CF), a novel model that generates post-hoc counterfactual explanations for multivariate time series classifcation that narrow the attention to a few important segments. We validated our model using seven real-world time-series datasets from the UEA repository. Our experimental results show the superiority of ABCF in terms of validity, proximity, sparsity, contiguity, and effciency compared with other competing state-of-the-art baselines. 
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    Accepted Manuscript Full Text Available