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Enabling large-scale human activity inference on smartphones using community similarity networks (csn)., , , , , , and . UbiComp, page 355-364. ACM, (2011)Exploiting Social Networks for Large-Scale Human Behavior Modeling., , , , , and . IEEE Pervasive Computing, 10 (4): 45-53 (2011)Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data., , , , , , , , and . CoRR, (2017)A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics., , , , , and . CoRR, (2017)Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices., , , , , , , and . UbiComp/ISWC Adjunct, page 666-669. ACM, (2018)Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables., and . SenSys, page 176-189. ACM, (2016)From smart to deep: Robust activity recognition on smartwatches using deep learning., and . PerCom Workshops, page 1-6. IEEE Computer Society, (2016)CenceMe - Injecting Sensing Presence into Social Networking Applications., , , and . EuroSSC, volume 4793 of Lecture Notes in Computer Science, page 1-28. Springer, (2007)Visage: A Face Interpretation Engine for Smartphone Applications., , , , , and . MobiCASE, volume 110 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 149-168. Springer, (2012)The BikeNet mobile sensing system for cyclist experience mapping., , , , , and . SenSys, page 87-101. ACM, (2007)