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20202026
most citedGenerating Synthetic Mobility Networks with Generative Adversarial Networks

42 citations · 70 across the 20 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CY2022★ 2 cited

Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science

Massimiliano Luca, Gian Maria Campedelli, Simone Centellegher +2

Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summ…

cs.CY2022

Play&Go Corporate: An End-to-End Solution for Facilitating Urban Cyclability

Antonio Bucchiarone, Simone Bassanelli, Massimiliano Luca +5

Mobility plays a fundamental role in modern cities. How citizens experience the urban environment, access city core services, and participate in city life, strongly depends on its…

cs.AI2022

Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets

Anna Nguyen, Antonio Longa, Massimiliano Luca +2

Anticipating audience reaction towards a certain piece of text is integral to several facets of society ranging from politics, research, and commercial industries. Sentiment analys…

cs.CV2022

Enhancing crowd flow prediction in various spatial and temporal granularities

Marco Cardia, Massimiliano Luca, Luca Pappalardo

Thanks to the diffusion of the Internet of Things, nowadays it is possible to sense human mobility almost in real time using unconventional methods (e.g., number of bikes in a bike…

cs.AI2022

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

Massimiliano Luca, Luca Pappalardo, Bruno Lepri +1

Next-location prediction, consisting of forecasting a user's location given their historical trajectories, has important implications in several fields, such as urban planning, geo…

cs.LG2022★ 42 cited

Generating Synthetic Mobility Networks with Generative Adversarial Networks

Giovanni Mauro, Massimiliano Luca, Antonio Longa +2

The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the inter…

cs.CY2022★ 21 cited

Modeling International Mobility using Roaming Cell Phone Traces during COVID-19 Pandemic

Massimiliano Luca, Bruno Lepri, Enrique Frias-Martinez +1

Most of the studies related to human mobility are focused on intra-country mobility. However, there are many scenarios (e.g., spreading diseases, migration) in which timely data on…