Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data-Reference-Cited by-同舟云学术

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Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data

Published:2021 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Jeon Eun Som,Som Anirudh,Shukla Ankita,Hasanaj Kristina,Buman Matthew P.,Turaga Pavan

Funder

NSF CAREER

NIH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/09664814.pdf?arnumber=9664814

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data;IEEE Internet of Things Journal;2024-09-15

2. S-KDGAN: Series-Knowledge Distillation With GANs for Anomaly Detection of Sensor Time-Series Data in Smart IoT;IEEE Sensors Journal;2024-08-01

3. Topological persistence guided knowledge distillation for wearable sensor data;Engineering Applications of Artificial Intelligence;2024-04

4. Recommendation and Distillation of IoT Multi-Environments;Journal of Computer Information Systems;2024-01-04

5. Wearable Sensor Data Classification for Identifying Missing Transmission Sequence Using Tree Learning;Sensors;2023-05-20

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