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researcher

Luca Faes

7 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • cs.IT1
  • eess.SP1
  • physics.data-an1
  • q-bio.NC1
ORCID 0000-0002-3271-5348

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedMeasuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks

3 citations · 6 across the 7 of their papers we have counts for

collaborators
Showing eess.SPShow all

1 paper · 1 filter

eess.SP2023

A method to assess Granger causality, isolation and autonomy in the time and frequency domains: theory and application to cerebrovascular variability

Laura Sparacino, Yuri Antonacci, Chiara Barà +3

Concepts of Granger causality (GC) and Granger autonomy (GA) are central to assess the dynamics of coupled physiologic processes. While causality measures have been already propose…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.