activity
20182022
most citedLeveraging Mobile Phone Data for Migration Flows

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

From Rewriting to Remembering: Common Ground for Conversational QA Models

Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi +2

In conversational QA, models have to leverage information in previous turns to answer upcoming questions. Current approaches, such as Question Rewriting, struggle to extract releva…

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.CY20211 cited

Leveraging Mobile Phone Data for Migration Flows

Massimiliano Luca, Gianni Barlacchi, Nuria Oliver +1

Statistics on migration flows are often derived from census data, which suffer from intrinsic limitations, including costs and infrequent sampling. When censuses are used, there is…

cs.SI2018

Weak nodes detection in urban transport systems: Planning for resilience in Singapore

Michele Ferretti, Gianni Barlacchi, Luca Pappalardo +2

The availability of massive data-sets describing human mobility offers the possibility to design simulation tools to monitor and improve the resilience of transport systems in resp…

cs.AI2018

Modeling Taxi Drivers' Behaviour for the Next Destination Prediction

Alberto Rossi, Gianni Barlacchi, Monica Bianchini +1

In this paper, we study how to model taxi drivers' behaviour and geographical information for an interesting and challenging task: the next destination prediction in a taxi journey…