Ghent University Academic Bibliography

Your filters: cql: author="Antonacci, Yuri" or (type any "bookEditor issueEditor" and editor="Antonacci, Yuri")

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Network representation of higher-order interactions based on information dynamics

Gorana Mijatovic, Yuri Antonacci, Michal Javorka, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Luca Faes

(2025) IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING. 12(3). p.1872-1884
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Decomposing multivariate information rates in networks of random processes

Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Luca Faes

(2025) PHYSICAL REVIEW E. 112(4).
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Partial information rate decomposition

Luca Faes, Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2025) PHYSICAL REVIEW LETTERS. 135(18).
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Assessing high-order links in cardiovascular and respiratory networks via static and dynamic information measures

Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Michal Javorka, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Luca Faes

(2024) IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY. 5. p.846-858
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Gradients of O-information : low-order descriptors of high-order dependencies

Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2023) PHYSICAL REVIEW RESEARCH. 5(1).
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A new framework for the time- and frequency-domain assessment of high-order interactions in networks of random processes

Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Bara, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2022) IEEE TRANSACTIONS ON SIGNAL PROCESSING. 70. p.5766-5777
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Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress

Riccardo Pernice, Yuri Antonacci, Matteo Zanetti, Alessandro Busacca, Daniele Marinazzo (UGent) , Luca Faes and Giandomenico Nollo

(2021) FRONTIERS IN NEUROSCIENCE. 14.
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Measuring high-order interactions in rhythmic processes through multivariate spectral information decomposition

Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Luca Faes

(2021) IEEE ACCESS. 9. p.149486-149505

Academic Bibliography

Network representation of higher-order interactions based on information dynamics

Decomposing multivariate information rates in networks of random processes

Partial information rate decomposition

Assessing high-order links in cardiovascular and respiratory networks via static and dynamic information measures

Gradients of O-information : low-order descriptors of high-order dependencies

A new framework for the time- and frequency-domain assessment of high-order interactions in networks of random processes

Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress

Measuring high-order interactions in rhythmic processes through multivariate spectral information decomposition

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