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DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning.

, , и . UbiComp, стр. 283-294. ACM, (2015)

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Petko Andreev

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An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices., , , , и . IoT-App@SenSys, стр. 7-12. ACM, (2015)Imitating Interactive Intelligence., , , , , , , , , и 14 other автор(ы). CoRR, (2020)A Multi-view Content-Based User Recommendation Scheme for Following Users in Twitter., и . SocInfo, том 7710 из Lecture Notes in Computer Science, стр. 434-447. Springer, (2012)Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices.. MobiSys PhDForum, стр. 9. ACM, (2015)DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning., , и . UbiComp, стр. 283-294. ACM, (2015)ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation., , , и . MobiSys, стр. 273-286. ACM, (2015)Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations., , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 1 (3): 50:1-50:19 (2017)Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading., , , и . MobiSys, стр. 306-318. ACM, (2017)A data-driven approach for learning to control computers., , , , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 9466-9482. PMLR, (2022)Can Deep Learning Revolutionize Mobile Sensing?, и . HotMobile, стр. 117-122. ACM, (2015)