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Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
Here, we investigate the importance of spatial information relative to spectral or temporal information by varying the proportion of each dimension for AD classification.
Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
Here, we combine the graph heat equation with the stochastic heat equation, which ultimately yields a model for multivariate time signals on a graph.
Understanding Concepts in Graph Signal Processing for Neurophysiological Signal Analysis
The experimental section focuses on the role of graph frequency in data classification, with applications to neuroimaging.
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