24 citations · 28 across the 5 of their papers we have counts for
5 papers
Complex topological features of reservoirs shape learning performances in bio-inspired recurrent neural networks
Valeria d'Andrea, Michele Puppin, Manlio De Domenico
Recurrent networks are a special class of artificial neural systems that use their internal states to perform computing tasks for machine learning. One of its state-of-the-art deve…
Estimating SARS-CoV-2 transmission in educational settings: a retrospective cohort study
Mattia Manica, Piero Poletti, Silvia Deandrea +12
Background School closures and distance learning have been extensively applied to control SARS-CoV-2 transmission. Despite evidence of viral circulation in schools, the contributio…
Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data
Mattia Manica, Maria Litvinova, Alfredo De Bellis +18
Background. During 2021, the COVID-19 pandemic was characterized by the emergence of lineages with increased fitness. For most of these variants, quantitative information is scarce…
Compressing phase space detects state changes in nonlinear dynamical systems
Valeria d'Andrea, Manlio De Domenico
Equations governing the nonlinear dynamics of complex systems are usually unknown and indirect methods are used to reconstruct their manifolds. In turn, they depend on embedding pa…
Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms
Oriol Artime, Valeria d'Andrea, Riccardo Gallotti +2
Online social networks are the perfect test bed to better understand large-scale human behavior in interacting contexts. Although they are broadly used and studied, little is known…