34 citations · 60 across the 15 of their papers we have counts for
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cs.CV2022★ 8 cited
E Pluribus Unum Interpretable Convolutional Neural Networks
George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis
The adoption of Convolutional Neural Network (CNN) models in high-stake domains is hindered by their inability to meet society's demand for transparency in decision-making. So far,…
cs.LG2022★ 34 cited
Fuzzy Pooling
Dimitrios E. Diamantis, Dimitris K. Iakovidis
Convolutional Neural Networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pool…