8 citations · 13 across the 8 of their papers we have counts for
8 papers
Introducing the modularity graph: an application to brain functional networks
Tiziana Cattai, Camilla Caporali, Marie-Constance Corsi +1
In signal processing, exploring complex systems through network representations has become an area of growing interest. This study introduces the modularity graph, a new graph-base…
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications
Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi +2
This paper proposes a multilayer graph model for the community detection from multiple observations. This is a very frequent situation, when different estimators are applied to inf…
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems
Damiano Brunori, Stefania Colonnese, Francesca Cuomo +1
We design a multi-purpose environment for autonomous UAVs offering different communication services in a variety of application contexts (e.g., wireless mobile connectivity service…
Multiscale Anisotropic Harmonic Filters on non Euclidean domains
Francesco Conti, Gaetano Scarano, Stefania Colonnese
This paper introduces Multiscale Anisotropic Harmonic Filters (MAHFs) aimed at extracting signal variations over non-Euclidean domains, namely 2D-Manifolds and their discrete repre…
Improving J-divergence of brain connectivity states by graph Laplacian denoising
Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi +3
Functional connectivity (FC) can be represented as a network, and is frequently used to better understand the neural underpinnings of complex tasks such as motor imagery (MI) detec…
Phase/amplitude synchronization of brain signals during motor imagery BCI tasks
Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi +3
The extraction of brain functioning features is a crucial step in the definition of brain-computer interfaces (BCIs). In the last decade, functional connectivity (FC) estimators ha…