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ORCIDYuri Antonacci
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2020 – today
- 2024
[j8]Yuri Antonacci
, Jlenia Toppi, Antonio Pietrabissa, Alessandra Anzolin, Laura Astolfi:
Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques. IEEE Access 12: 30638-30652 (2024)- [j7]Laura Sparacino, Yuri Antonacci, Chiara Barà, Angela Valenti, Alberto Porta, Luca Faes:
A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability. IEEE Trans. Biomed. Eng. 71(5): 1454-1465 (2024) - 2023
- [j6]Chiara Barà, Andrea Zaccaro, Yuri Antonacci, Matteo Dalla Riva, Alessandro Busacca, Francesca Ferri, Luca Faes, Riccardo Pernice:
Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses. Biomed. Signal Process. Control. 86(Part C): 105315 (2023) - [c13]Luca Faes, Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia:
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. EMBC 2023: 1-4 - [c12]Hélder Pinto, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Michal Javorka, Luca Faes, Ana Paula Rocha:
Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions. EMBC 2023: 1-4 - [c11]Laura Sparacino, Martina Valentino, Yuri Antonacci, Giuseppe Parla, Gianvincenzo Sparacia, Luca Faes:
Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis. EMBC 2023: 1-4 - 2022
- [j5]Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia:
A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. IEEE Trans. Signal Process. 70: 5766-5777 (2022) - [c10]Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes:
Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. COMPLEX NETWORKS (1) 2022: 301-309 - [c9]Gorana Mijatovic, Natalija Vukosavljevic, Yuri Antonacci, Luca Faes, Tatjana Loncar-Turukalo:
Measuring the Amount of Concomitant Firing during Neural Development. SISY 2022: 331-336 - [i1]Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia:
Gradients of O-information: low-order descriptors of high-order dependencies. CoRR abs/2207.03581 (2022) - 2021
- [j4]Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes:
Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. IEEE Access 9: 149486-149505 (2021) - [j3]Yuri Antonacci, Ludovico Minati, Luca Faes, Riccardo Pernice, Giandomenico Nollo, Jlenia Toppi, Antonio Pietrabissa, Laura Astolfi:
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. PeerJ Comput. Sci. 7: e429 (2021) - [j2]Gorana Mijatovic, Yuri Antonacci, Tatjana Loncar-Turukalo, Ludovico Minati, Luca Faes:
An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains. IEEE Trans. Biomed. Eng. 68(12): 3471-3481 (2021) - [c8]Yuri Antonacci, Ludovico Minati, Gorana Mijatovic, Luca Faes:
A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. EMBC 2021: 182-185 - [c7]Gorana Mijatovic, Yuri Antonacci, Luca Faes:
Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. EMBC 2021: 341-344 - 2020
- [j1]Yuri Antonacci, Laura Astolfi, Giandomenico Nollo, Luca Faes:
Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks. Entropy 22(7): 732 (2020) - [c6]Yuri Antonacci, Luca Faes, Laura Astolfi:
Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*. EMBC 2020: 26-29 - [c5]Yuri Antonacci, Laura Astolfi, Luca Faes:
Testing different methodologies for Granger causality estimation: A simulation study. EUSIPCO 2020: 940-944
2010 – 2019
- 2019
- [c4]Yuri Antonacci, Jlenia Toppi, Donatella Mattia, Antonio Pietrabissa, Laura Astolfi:
Estimation of brain connectivity through Artificial Neural Networks. EMBC 2019: 636-639 - [c3]Yuri Antonacci, Jlenia Toppi, Donatella Mattia, Antonio Pietrabissa, Laura Astolfi:
Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator. EMBC 2019: 6422-6425 - 2017
- [c2]Yuri Antonacci, Jlenia Toppi, Stefano Caschera, Alessandra Anzolin, Donatella Mattia, Laura Astolfi:
Estimating brain connectivity when few data points are available: Perspectives and limitations. EMBC 2017: 4351-4354 - 2016
- [c1]Jlenia Toppi, Nicolina Sciaraffa, Yuri Antonacci, Alessandra Anzolin, Stefano Caschera, Manuela Petti, Donatella Mattia, Laura Astolfi:
Measuring the agreement between brain connectivity networks. EMBC 2016: 68-71
Coauthor Index
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