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03/08/2022
Incentivizing Data Contribution in Cross-Silo Federated Learning
In cross-silo federated learning, clients (e.g., organizations) collecti...
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12/08/2021
STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification
We propose STAF, a Spatio-Temporal Attention Fusion network for few-shot...
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10/07/2021
Food Science Spectroscopy Model Training: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning
The past decade witnesses a rapid development in the measurement and mon...
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06/28/2021
Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers
With the development of the Internet of Things(IoT) and Artificial Intel...
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05/31/2021
Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things
Federated Learning (FL) has received a significant amount of attention i...
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05/12/2021
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches
Differences in gait patterns of children with Duchenne muscular dystroph...
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03/29/2021
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
With the rapid development of the internet of things (IoT) and artificia...
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06/29/2020
Towards Learning-automation IoT Attack Detection through Reinforcement Learning
As a massive number of the Internet of Things (IoT) devices are deployed...
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12/05/2018