Yuri Antonacci
Orcid: 0000-0002-6956-6323
According to our database1,
Yuri Antonacci
authored at least 22 papers
between 2016 and 2024.
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Bibliography
2024
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., May, 2024
Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques.
IEEE Access, 2024
2023
Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses.
Biomed. Signal Process. Control., September, 2023
Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis.
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.
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.
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.
IEEE Trans. Signal Process., 2022
CoRR, 2022
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.
Proceedings of the Complex Networks and Their Applications XI, 2022
2021
An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains.
IEEE Trans. Biomed. Eng., 2021
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators.
PeerJ Comput. Sci., 2021
Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition.
IEEE Access, 2021
Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions.
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.
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.
Entropy, 2020
Testing different methodologies for Granger causality estimation: A simulation study.
Proceedings of the 28th European Signal Processing Conference, 2020
Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models<sup>*</sup>.
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.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
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.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016