Yuri Antonacci

According to our database, Yuri Antonacci authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses.

Chiara Barà, Andrea Zaccaro, Yuri Antonacci, Matteo Dalla Riva, Alessandro Busacca, Francesca Ferri, Luca Faes, Riccardo Pernice

Biomed. Signal Process. Control., September, 2023

Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis.

Laura Sparacino, Martina Valentino, Yuri Antonacci, Giuseppe Parla, Gianvincenzo Sparacia, Luca Faes

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions.

Hélder Pinto, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Michal Javorka, Luca Faes, Ana Paula Rocha

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition.

Luca Faes, Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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 Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia

IEEE Trans. Signal Process., 2022

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

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

CoRR, 2022

Measuring the Amount of Concomitant Firing during Neural Development.

Gorana Mijatovic, Natalija Vukosavljevic, Yuri Antonacci, Luca Faes, Tatjana Loncar-Turukalo

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach.

Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes

Proceedings of the Complex Networks and Their Applications XI, 2022

2021

An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains.

Gorana Mijatovic, Yuri Antonacci, Tatjana Loncar-Turukalo, Ludovico Minati, Luca Faes

IEEE Trans. Biomed. Eng., 2021

Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators.

Yuri Antonacci, Ludovico Minati, Luca Faes, Riccardo Pernice, Giandomenico Nollo, Jlenia Toppi, Antonio Pietrabissa, Laura Astolfi

PeerJ Comput. Sci., 2021

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition.

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

IEEE Access, 2021

Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions.

Gorana Mijatovic, Yuri Antonacci, Luca Faes

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes.

Yuri Antonacci, Ludovico Minati, Gorana Mijatovic, Luca Faes

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks.

Yuri Antonacci, Laura Astolfi, Giandomenico Nollo, Luca Faes

Entropy, 2020

Testing different methodologies for Granger causality estimation: A simulation study.

Yuri Antonacci, Laura Astolfi, Luca Faes

Proceedings of the 28th European Signal Processing Conference, 2020

Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models^*.

Yuri Antonacci, Luca Faes, Laura Astolfi

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator.

Yuri Antonacci, Jlenia Toppi, Donatella Mattia, Antonio Pietrabissa, Laura Astolfi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Estimation of brain connectivity through Artificial Neural Networks.

Yuri Antonacci, Jlenia Toppi, Donatella Mattia, Antonio Pietrabissa, Laura Astolfi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Estimating brain connectivity when few data points are available: Perspectives and limitations.

Yuri Antonacci, Jlenia Toppi, Stefano Caschera, Alessandra Anzolin, Donatella Mattia, Laura Astolfi

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Measuring the agreement between brain connectivity networks.

Jlenia Toppi, Nicolina Sciaraffa, Yuri Antonacci, Alessandra Anzolin, Stefano Caschera, Manuela Petti, Donatella Mattia, Laura Astolfi

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016