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Characterizing Dense Urban Areas from Mobile Phone-Call Data: Discovery and Social Dynamics., , , and . SocialCom/PASSAT, page 241-248. IEEE Computer Society, (2010)A Network Access Control Mechanism Based on Behavior Profiles., , , and . ACSAC, page 3-12. IEEE Computer Society, (2009)Estimation of urban commuting patterns using cellphone network data., , and . UrbComp@KDD, page 9-16. ACM, (2012)Predicting Perceived Cycling Safety Levels Using Open and Crowdsourced Data., , and . IEEE BigData, page 1669-1676. IEEE, (2018)Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz., , and . PAKDD (2), volume 6119 of Lecture Notes in Computer Science, page 125-132. Springer, (2010)On the relation between socio-economic status and physical mobility., , and . Inf. Technol. Dev., 18 (2): 91-106 (2012)The Legacy of Slavery and COVID-19 Mortality in Southern U.S. States., and . iConference (3), volume 14598 of Lecture Notes in Computer Science, page 382-392. Springer, (2024)Consensus clustering for urban land use analysis using cell phone network data., , , and . Int. J. Ad Hoc Ubiquitous Comput., 17 (1): 39-58 (2014)Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models., , , and . CoRR, (2024)Comparing E-bike and Conventional Bicycle Use Patterns in a Public Bike Share System: A Case Study of Richmond, VA., , , , and . CoRR, (2024)