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Activity discovering and modelling with labelled and unlabelled data in smart environments., и . Expert Syst. Appl., 42 (14): 5800-5810 (2015)Exploring data- and knowledge-driven methods for adaptive activity learning with dynamically available contexts., , , , и . CCF Trans. Pervasive Comput. Interact., 1 (1): 24-46 (2019)Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes., , и . ICONIP (2), том 11954 из Lecture Notes in Computer Science, стр. 95-105. Springer, (2019)Label propagation with structured graph learning for semi-supervised dimension reduction., , , , и . Knowl. Based Syst., (2021)Fuzzy Neighborhood Learning for Deep 3-D Segmentation of Point Cloud., , , , , и . IEEE Trans. Fuzzy Syst., 28 (12): 3181-3192 (2020)Hybrid Attentive Answer Selection in CQA With Deep Users Modelling., , , и . AAAI, стр. 2556-2563. AAAI Press, (2018)Development of Collaborative Video Streaming for Mobile Networks: From Overview to Prototype., , , , и . UIC/ATC/ScalCom, стр. 372-377. IEEE Computer Society, (2014)Creating general model for activity recognition with minimum labelled data., , и . ISWC, стр. 87-90. ACM, (2015)Revisited: Bandwidth estimation methods for mobile networks., , и . WoWMoM, стр. 1-6. IEEE Computer Society, (2014)Global adaptive histogram feature network for automatic segmentation of infection regions in CT images., , , , , , , , , и . Multim. Syst., 30 (4): 205 (августа 2024)