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Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
The results showcase the effectiveness of counterfactual explanations in revealing traffic patterns learned by deep learning models, showing its potential for interpreting black-box deep learning models used for spatiotemporal predictions in general.
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