activity
20182021
most citedMobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown

15 citations · 17 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Understanding peacefulness through the world news

Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti +1

Peacefulness is a principal dimension of well-being and is the way out of inequity and violence. Thus, its measurement has drawn the attention of researchers, policymakers, and pea…

cs.SI20202 cited

Modelling Human Mobility considering Spatial,Temporal and Social Dimensions

Giuliano Cornacchia, Giulio Rossetti, Luca Pappalardo

Modelling human mobility is crucial in several areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. On the one hand, existing models focus ma…

cs.SI2020

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…

cs.SI202015 cited

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown

Pietro Bonato, Paolo Cintia, Francesco Fabbri +12

Understanding collective mobility patterns is crucial to plan the restart of production and economic activities, which are currently put in stand-by to fight the diffusion of the e…

cs.AI2018

Open the Black Box Data-Driven Explanation of Black Box Decision Systems

Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti +4

Black box systems for automated decision making, often based on machine learning over (big) data, map a user's features into a class or a score without exposing the reasons why. Th…