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On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
Specifically, the study proposes three different techniques capable of eliciting understandable information about the knowledge grasped by these recurrent models, namely, potential memory, temporal patterns and pixel absence effect.
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