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ORCID2nd AIChallengeIoT@SenSys 2020: Virtual Event, Japan
- AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, Virtual Event, Japan, November 16, 2020. ACM 2020, ISBN 978-1-4503-8134-5
- Shicong Hong
, Zhihong Xiao, Zishuo Guo, Yongpan Zou, Kaishun Wu:
MetaDigit: Towards A Practical Digits Input System with Few User Effort. 1-6 - Simone Disabato, Manuel Roveri:
Incremental On-Device Tiny Machine Learning. 7-13 - Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin M. Marlin:
Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression. 14-20 - Xueqin Huang, Urmish Thakker, Dibakar Gope, Jesse G. Beu:
Pushing the Envelope of Dynamic Spatial Gating technologies. 21-26 - Ravi Raju, Dibakar Gope, Urmish Thakker, Jesse G. Beu:
Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions. 27-33 - Seulki Lee, Shahriar Nirjon:
Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation. 34-40 - Stephen Xia, Xiaofan Jiang:
PAMS: Improving Privacy in Audio-Based Mobile Systems. 41-47 - Swarnava Dey, Jeet Dutta:
A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices. 48-54 - Kaikai Liu:
Deep Associated Elastic Tracker for Intelligent Traffic Intersections. 55-61 - Poonam Yadav, Angelo Feraudo, Budi Arief, Siamak F. Shahandashti, Vassilios G. Vassilakis:
Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms. 62-68
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