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    • Fuzzy Pooling 

      Diamantis D.E., Iakovidis D.K. (2021)
      Convolutional neural networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality ...

    • Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets 

      Vasilakakis M., Sovatzidi G., Dimas G., Iakovidis D.K. (2022)
      Convolutional Neural Networks (CNNs) have demonstrated an outstanding performance on a range of image classification problems in various domains. However, their major drawback is that they are 'black box' and opaque ...