PIXEL-ORIENTED VISUALIZATION FOR EXPLAINING DATA CLASSIFICATION IN A MULTILAYER NEURAL NETWORK
Keywords:
Artificial Neural Network, SHAP, XAI, Information VisualizationAbstract
Accompanying the growth of applications that use Artificial Intelligence, recent research is also growing to explain the functioning of these applications and make them more acceptable to man. This paper presents an alternative explanation of the data classification process carried out by an Artificial Intelligence algorithm. We propose a pixel-oriented information visualization approach to explain the multilayer perceptron classifier by using SHAP. Observing the obtained results, it was possible to identify the relevant features to explain the classification.
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References
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