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Improving the Accuracy of Walking Context Recognition Using Step Rate., , and . IPIN, page 1-8. IEEE, (2021)Mobile Spaghetti Analysis in Grocery Store with Smartphone Sensing., , and . PerCom Workshops, page 380-385. IEEE, (2023)Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan., , , , , , and . CoRR, (2020)Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis., , and . AAAI, page 1142-1149. AAAI Press, (2019)Fine-grained social relationship extraction from real activity data under coarse supervision., , , , and . ISWC, page 183-187. ACM, (2015)Location History Knows What You Like: Estimation of User Preference from Daily Location Movement., and . Urb-IoT, page 8-13. ACM, (2016)ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users., , , and . WSDM, page 894-897. ACM, (2021)CityAtmosphere: VR image to glimpse wishes in the air., , , , , , , and . UbiComp/ISWC Adjunct, page 342-345. ACM, (2019)Replicating urban dynamics by generating human-like agents from smartphone GPS data., , , and . SIGSPATIAL/GIS, page 440-443. ACM, (2018)Forecasting urban dynamics with mobility logs by bilinear Poisson regression., , , and . UbiComp, page 535-546. ACM, (2015)