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Exploring universal patterns in human home-work commuting from mobile phone data

, , , and . PloS One, 9 (6): e96180 (2014)

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Choosing the Right Home Location Definition Method for the Given Dataset., , , , and . SocInfo, volume 9471 of Lecture Notes in Computer Science, page 194-208. Springer, (2015)Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection., and . CoRR, (2019)Twitter Activity Timeline as a Signature of Urban Neighborhood., , , and . CoRR, (2017)Quantifying the benefits of vehicle pooling with shareability networks., , , , , and . Proc. Natl. Acad. Sci. USA, 111 (37): 13290-13294 (2014)A Perspective on Foundation Models for the Electric Power Grid., , , , , , , , , and 17 other author(s). CoRR, (2024)Social Activity Networks Shaping St. Petersburg., , , , and . HICSS, page 1-10. ScholarSpace, (2021)Exploring Invariants & Patterns in Human Commute time., , , , and . CoRR, (2015)Geo-located twitter as proxy for global mobility patterns, , , , , and . Cartography and Geographic Information Science, 41 (3): 260--271 (2014)How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis., , , , , , , , , and 4 other author(s). SAP, page 20:1-20:3. ACM, (2024)Visualizing signatures of human activity in cities across the globe., , , , , , and . CoRR, (2015)