In this case the difference between the CCNN model and the deep neural network was highly significant, which is most likely the result of the fact, that by doubling the number of input features, the size of the deep neural network also doubles, while the size of the CCNN architecture only slightly increases (less than 1% in our particular case).
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Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.
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