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Characterizing a user from large-scale smartphone-sensed data.

, , , , , , and . UbiComp/ISWC Adjunct, page 482-487. ACM, (2017)

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AppUsage2Vec: Modeling Smartphone App Usage for Prediction., , , , , , , and . ICDE, page 1322-1333. IEEE, (2019)Mining User Attributes Using Large-Scale APP Lists of Smartphones., , , , , , and . IEEE Syst. J., 11 (1): 315-323 (2017)ESCORT: Fine-Grained Urban Crime Risk Inference Leveraging Heterogeneous Open Data., , , , , , and . IEEE Syst. J., 15 (3): 4656-4667 (2021)WHO ARE THE SMARTPHONE USERS?: Identifying user groups with apps usage behaviors., , , , , , , and . GetMobile Mob. Comput. Commun., 21 (2): 31-34 (2017)A Novel Workflow for Crop Type Mapping with a Time Series of Synthetic Aperture Radar and Optical Images in the Google Earth Engine., , , , , and . Remote. Sens., 14 (21): 5458 (2022)Demographic Attributes Prediction Through App Usage Behaviors on Smartphones., , , , and . UbiComp/ISWC Adjunct, page 870-877. ACM, (2018)T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs., , , , , , and . ICDE, page 992-1003. IEEE, (2022)Rapid Earthquake Magnitude Estimation Using Deep Learning., , , , , , and . IJCNN, page 1-8. IEEE, (2022)AppLens 2019: the 2nd international workshop on mining and learning from smartphone apps for users., , , , , and . UbiComp/ISWC Adjunct, page 418-421. ACM, (2019)A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection., , , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (2): 827-839 (2022)