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Inferring mobility measures from GPS traces with missing data

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References

2008Understanding individual human mobility patterns6,071 cited
2008Understanding mobility based on GPS data1,131 cited
2007Learning and inferring transportation routines798 cited
2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
2016New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research757 cited
2016Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health720 cited
2015A survey of results on mobile phone datasets analysis652 cited
2015Trajectories of depression475 cited
2014Review of GPS Travel Survey and GPS Data-Processing Methods350 cited
2016CrossCheck257 cited
2001Use of global positioning system technology to track subject's location during environmental exposure sampling105 cited

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