A demonstration that global and local sensitivity analysis plus activation maximization can highlight influential features in small neural networks for tabular and image data.
Overview of visualization methods for artificial neural networks,
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Application of Sensitivity Analysis Methods for Studying Neural Network Models
A demonstration that global and local sensitivity analysis plus activation maximization can highlight influential features in small neural networks for tabular and image data.