237 citations · 478 across the 28 of their papers we have counts for
6 papers · 1 filter
The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy
Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa +2
We investigate patterns of COVID-19 mortality across 20 Italian regions and their association with mobility, positivity, and socio-demographic, infrastructural and environmental co…
Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees
Luca Insolia, Ana Kenney, Francesca Chiaromonte +1
Sparse estimation methods capable of tolerating outliers have been broadly investigated in the last decade. We contribute to this research considering high-dimensional regression p…
An Efficient Semi-smooth Newton Augmented Lagrangian Method for Elastic Net
Tobia Boschi, Matthew Reimherr, Francesca Chiaromonte
Feature selection is an important and active research area in statistics and machine learning. The Elastic Net is often used to perform selection when the features present non-negl…
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy
Paolo Cintia, Luca Pappalardo, Salvatore Rinzivillo +29
In 2020, countries affected by the COVID-19 pandemic implemented various non-pharmaceutical interventions to contrast the spread of the virus and its impact on their healthcare sys…
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Mirco Nanni, Gennady Andrienko, Albert-László Barabási +36
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when…
Knowledge and Social Relatedness Shape Research Portfolio Diversification
Giorgio Tripodi, Francesca Chiaromonte, Fabrizio Lillo
Scientific discovery is shaped by scientists' choices and thus by their career patterns. The increasing knowledge required to work at the frontier of science makes it harder for an…