GAMI-Net: An explainable neural network based on generalized additive models with structured interactions

•A novel explainable neural network is proposed for modeling main effects and structured interactions.•The GAMI-Net is a disentangled feedforward network with multiple additive subnetworks.•GAMI-Net takes into account three interpretability constraints: sparsity, heredity, marginal clarity.•An adapt...

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Bibliographic Details
Published inPattern recognition Vol. 120; p. 108192
Main Authors Yang, Zebin, Zhang, Aijun, Sudjianto, Agus
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.12.2021
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