The large and still increasing popularity of deep learning clashes with a major limit of neural network architectures, that consists in their lack of capability in providing human-understandable motivations of their decisions. In situations in which the machine is expected to support the decision of human experts, providing a comprehensible...
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January 2023 (v1)Journal articleUploaded on: December 4, 2022
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September 18, 2023 (v1)Conference paper
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Uploaded on: October 18, 2023 -
February 1, 2024 (v1)Publication
Resting-state functional magnetic resonance imaging (rs-fMRI) has been successfully employed to understand the organisation of the human brain. Typically, the brain is parcellated into regions of interest (ROIs) and modelled as a graph where each ROI represents a node and association measures between ROI-specific blood-oxygen-level-dependent...
Uploaded on: February 4, 2024