A novel approach for deep extraction of causally informed features via restricted architecture (DECIFRA), designed for multivariate time series modeling that captures functionally grounded brain connectivity patterns, with certain dynamics associated with age or schizophrenia classification tasks and others consistentl...
P. Popov, Cristian Morasso, Giorgio Dolci et al.· IEEE Transactions on Medical...· 0 citations
A hypergraph was employed to model high-order functional relations across brain regions, introducing algebraic connectivity ($a(\mathcal {G})$) for estimating the hyperedge weights, suggesting that $a(\mathcal {G})$ can be an effective approach for extracting the hyperedge weights, including important functional inform...
Giorgio Dolci, Silvia Saglia, Lorenza Brusini et al.· IEEE journal of biomedical a...· 0 citations
AdaptICA is proposed, an adaptive transformation-based framework that jointly learns grouped componentwise transformations and the demixing structure using a profiled mutual-information criterion and establishes identifiability, consistency, and asymptotic normality of the transformation estimator, together with joint...
Lida Jalili, Jing-Yu Liu, Vince D. Calhoun et al.· 0 citations
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