Effective Active Learning Method for Spiking Neural Networks-Reference-Cited by-同舟云学术

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Effective Active Learning Method for Spiking Neural Networks

Published:2023 Issue: Volume: Page:1-10
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Xie Xiurui¹^ORCID,Yu Bei¹,Liu Guisong²^ORCID,Zhan Qiugang¹^ORCID,Tang Huajin³^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China

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

Funder

Natural Science Foundation of Guangdong Province

Sichuan Province

Social Foundation of Zhongshan Sci-Tech Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10081108.pdf?arnumber=10081108

Cited by 2 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. SCINN: Semantic Concept-Based Inference Neural Networks With Explainable and Deep Fuzzy Structure;IEEE Transactions on Fuzzy Systems;2024-07

2. An innovative deep active learning approach for improving unlabeled audio classification by selectively querying informative instance;International Journal of Engineering Business Management;2023-01

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