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F1000Research|November 24, 2017
On the interpretability and computational reliability of frequency-domain Granger causalityLuca Faes, Sebastiano Stramaglia, Daniele Marinazzo
Physical Review. E|January 20, 2018
Multiscale Granger causalityLuca Faes, Giandomenico Nollo, Sebastiano Stramaglia, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Multiscale analysis of information dynamics for linear multivariate processesLuca Faes, Alessandro Montalto, Sebastiano Stramaglia, et al.
Frontiers in Network Physiology|January 24, 2024
Gradients of O-information highlight synergy and redundancy in physiological applicationsTomas Scagliarini, Laura Sparacino, Luca Faes, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Synergistic Information Transfer in the Global System of Financial MarketsTomas Scagliarini, Luca Faes, Daniele Marinazzo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information DecompositionLuca Faes, Gorana Mijatovic, Laura Sparacino, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 6, 2016
Predictability decomposition detects the impairment of brain-heart dynamical networks during sleep disorders and their recovery with treatmentLuca Faes, Daniele Marinazzo, Sebastiano Stramaglia, et al.
Physical Review. E|April 18, 2025
Assessing high-order effects in feature importance via predictability decompositionMarlis Ontivero-Ortega, Luca Faes, Jesus M Cortes, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 11, 2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causalityAlessandro Montalto, Sebastiano Stramaglia, Luca Faes, et al.
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRISebastiano Stramaglia, Leonardo Angelini, Guorong Wu, et al.
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