activity
20222025
most citedA Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Brain and Physiological Networks

5 citations · 5 across the 3 of their papers we have counts for

collaborators

6 papers

nlin.CD2025

Redundant and synergistic interactions in a complex network of single-transistor electronic chaotic oscillators and in neurophysiological recordings

Chiara Barà, Yuri Antonacci, Laura Sparacino +8

Complex networks often exhibit emergent behaviors, where simple dyadic interactions yield collective dynamics that cannot be explained by examining the system's units individually…

q-bio.QM2025

Investigating High-Order Behaviors in Multivariate Cardiovascular Interactions via Nonlinear Prediction and Information-Theoretic Tools

Chiara Barà, Yuri Antonacci, Laura Sparacino +4

Assessing the synergistic high-order behaviors (HOBs) that emerge from underlying structural mechanisms is crucial to characterize complex systems. This work leverages the combined…

cs.LG2025

Information-theoretic Quantification of High-order Feature Effects in Classification Problems

Ivan Lazic, Chiara Barà, Marta Iovino +3

Understanding the contribution of individual features in predictive models remains a central goal in interpretable machine learning, and while many model-agnostic methods exist to…

stat.AP2025

A Method for the Time-Frequency Analysis of High-Order Interactions in Non-Stationary Physiological Networks

Yuri Antonacci, Chiara Bara', Laura Sparacino +3

Several data-driven approaches based on information theory have been proposed for analyzing high-order interactions involving three or more components of a network system. Most of…

physics.data-an2024

Partial information decomposition for mixed discrete and continuous random variables

Chiara Barà, Yuri Antonacci, Marta Iovino +2

The framework of Partial Information Decomposition (PID) unveils complex nonlinear interactions in network systems by dissecting the mutual information (MI) between a target variab…

stat.ME20225 cited

A Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Brain and Physiological Networks

Luca Faes, Gorana Mijatovic, Yuri Antonacci +7

While the standard network description of complex systems is based on quantifying links between pairs of system units, higher-order interactions (HOIs) involving three or more unit…