Convolutional Multiple Instance Learning for Sleep Spindle Detection With Label Refinement-Reference-Cited by-同舟云学术

Convolutional Multiple Instance Learning for Sleep Spindle Detection With Label Refinement

Published:2023-03 Issue:1 Volume:15 Page:272-284
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Sun Xuyun¹^ORCID,Qi Yu²^ORCID,Wang Yueming³^ORCID,Pan Gang¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

2. MOE Frontier Science Center for Brain Science and Brain-Machine Integration and the Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China

3. Qiushi Academy for Advanced Studies and the College of Computer Science and Technology, Zhejiang University, Hangzhou, China

Funder

China Brain Project

Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Zhejiang Lab

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/10061504/09733988.pdf?arnumber=9733988

Reference53 articles.

1. Development and comparison of four sleep spindle detection methods

2. Grouping of Spindle Activity during Slow Oscillations in Human Non-Rapid Eye Movement Sleep

3. Expert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalization

4. Automatic sleep spindles detection — Overview and development of a standard proposal assessment method

5. Fixing Mislabeling by Human Annotators Leveraging Conflict Resolution and Prior Knowledge

Cited by 3 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. Spindle Detection Based on Elastic Time Window and Spatial Pyramid Pooling;Journal of Integrative Neuroscience;2024-07-17

2. State-sensitive convolutional sparse coding for potential biomarker identification in brain signals;Science China Information Sciences;2024-04-08

3. MuFF-E: Sleep Spindle Detection using Multi-Feature Fusion and Ensemble;2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2023-11-02