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DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing., , , , и . WWW, стр. 351-360. ACM, (2017)Simulation Evaluation of Fuel-Saving Systems in the City of Chicago., , , , , и . ICCCN, стр. 1-9. IEEE, (2019)Unveiling polarization in social networks: A matrix factorization approach., , , , и . INFOCOM, стр. 1-9. IEEE, (2017)SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications., , , , , , , , , и . INFOCOM, стр. 1243-1251. IEEE, (2019)DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction., , , , , , , , , и . SIGIR, стр. 163-172. ACM, (2021)RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations., , , , , , и . CoRR, (2017)CrossRoI: cross-camera region of interest optimization for efficient real time video analytics at scale., , , , и . MMSys, стр. 186-199. ACM, (2021)DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework., , , , и . SenSys, стр. 4:1-4:14. ACM, (2017)STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks., , , , , , , , , и 3 other автор(ы). WWW, стр. 2192-2202. ACM, (2019)GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction., , , , , , , и . ICCPS, стр. 229-238. ACM, (2017)