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Ground truth evaluation of home location detection algorithms
Inferring mobile phone users' home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging... -
Influence of missing RR-Intervals caused by motion artifacts on HRV features ...
Wearable physiological monitors have become increasingly popular, often worn during people’s daily life, collecting data 24 hours a day, 7 days a week. In the last decade,... -
Nowcasting well-being with human mobility data
This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data. -
Analysis of changes in visits to public venues during the COVID-19 pandemic
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed... -
Evaluation of home location detection algorithms on three mobile phone record...
We created a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The... -
Estimation of emissions from vehicles' GPS trajectories
We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272...
