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Small Scale Deployment of Seat Occupancy Detectors., , , и . WPA@MobiSys, стр. 25-30. ACM, (2016)Demo: Real-time Detection for Multiple Occupancy and Near Real-time Hogging Detection., , и . SenSys, стр. 477-478. ACM, (2015)Demo: Real-world Deployment of Seat Occupancy Detectors., , , и . MobiSys (Companion Volume), стр. 103. ACM, (2016)Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data., , , и . IEEE Trans. Medical Imaging, 43 (1): 529-541 (января 2024)Ruin Probabilities of Continuous-Time Risk Model with Dependent Claim Sizes and Interarrival Times., и . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 28 (Supplement-1): 69-80 (2020)New estimates for the div, curl, grad operators and elliptic problems with L1-data in the half-space., и . Appl. Math. Lett., 24 (5): 697-702 (2011)Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data., , , и . CoRR, (2022)A Modified Localization Technique for Pinpointing a Gunshot Event Using Acoustic Signals., , и . INISCOM, том 334 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 138-149. Springer, (2020)An improved spiking network conversion for image classification., , , , , и . MAPR, стр. 1-6. IEEE, (2021)CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting., , , и . ISBI, стр. 1-5. IEEE, (2022)