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Food Science Spectroscopy Model Training: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning


Oct 11, 2021
Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao


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Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective


Oct 06, 2021
Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia


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Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers


Jun 28, 2021
Rex Liu, Sarina A Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams


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Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things


May 31, 2021
Huanle Zhang, Jeonghoon Kim


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Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches


May 12, 2021
Albara Ah Ramli, Huanle Zhang, Jiahui Hou, Rex Liu, Xin Liu, Alina Nicorici, Daniel Aranki, Corey Owens, Poonam Prasad, Craig McDonald, Erik Henricson


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An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence


Mar 29, 2021
Rex Liu, Albara Ah Ramli, Huanle Zhang, Esha Datta, Xin Liu


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Towards Learning-automation IoT Attack Detection through Reinforcement Learning


Jun 29, 2020
Tianbo Gu, Allaukik Abhishek, Hao Fu, Huanle Zhang, Debraj Basu, Prasant Mohapatra

* 11 pages, 8 figures, 2 tables, to appear in the 21st IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM 2020) 

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