9 citations · 17 across the 3 of their papers we have counts for
4 papers
A Tensor Network Framework for Interpretable Graph Analysis of Brain Networks
Domenico Pomarico, Giuseppe Magnifico, Alessandro Grecucci +10
Identifying robust neurobiological signatures of brain disorders requires machine learning approaches that combine predictive performance with interpretable representations of feat…
Assessing high-order effects in feature importance via predictability decomposition
Marlis Ontivero-Ortega, Luca Faes, Jesus M Cortes +2
Leveraging the large body of work devoted in recent years to describe redundancy and synergy in multivariate interactions among random variables, we propose a novel approach to qua…
Disentangling high order effects in the transfer entropy
Sebastiano Stramaglia, Luca Faes, Jesus M. Cortes +1
Transfer Entropy (TE), the primary method for determining directed information flow within a network system, can exhibit bias - either in deficiency or excess - during both pairwis…
Information flow between resting state networks
Ibai Diez, Asier Erramuzpe, Inaki Escudero +6
The resting brain dynamics self-organizes into a finite number of correlated patterns known as resting state networks (RSNs). It is well known that techniques like independent comp…