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VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services., , , , и . J. Comput. Sci. Technol., 30 (4): 725-744 (2015)DPPC-RE: TCAM-Based Distributed Parallel Packet Classification with Range Encoding., , , , и . IEEE Trans. Computers, 55 (8): 947-961 (2006)Scalable Pattern Matching on Multicore Platform via Dynamic Differentiated Distributed Detection (D⁴)., , и . IEEE Trans. Computers, 60 (3): 346-359 (2011)Multi-view ensemble learning for dementia diagnosis from neuroimaging: An artificial neural network approach., , , и . Neurocomputing, (2016)Can eye tracking and EHR mouse activity tell us when clinicians are overloaded?, , , , , , , , , и . Human Factors Quarterly, Veteran Health Administration, (сентября 2014)Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints., , , и . COLT, том 75 из Proceedings of Machine Learning Research, стр. 605-638. PMLR, (2018)Personalized Route Description Based On Historical Trajectories., , , , и . CIKM, стр. 79-88. ACM, (2019)PNN query processing on compressed trajectories., , , , , и . GeoInformatica, 16 (3): 467-496 (2012)The Interaction Between Schema Matching and Record Matching in Data Integration., , , , , , , и . IEEE Trans. Knowl. Data Eng., 29 (1): 186-199 (2017)Go slow to go fast: minimal on-road time route scheduling with parking facilities using historical trajectory., , , , и . VLDB J., 27 (3): 321-345 (2018)