Safe semi-supervised clustering based on Dempster–Shafer evidence theory-Reference-Cited by-全球学者库

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Safe semi-supervised clustering based on Dempster–Shafer evidence theory

Published:2023-08 Issue: Volume:123 Page:106334
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gan Haitao,Yang Zhi,Zhou Ran,Guo Li,Ye Zhiwei,Huang Rui^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference46 articles.

1. Image classification with deep learning in the presence of noisy labels: A survey;Algan;Knowl.-Based Syst.,2021

2. Metalabelnet: Learning to generate soft-labels from noisy-labels;Algan;IEEE Trans. Image Process.,2022

3. Semi-supervised fuzzy c-means variants: A study on noisy label supervision;Antoine,2018

4. Semi-supervised clustering with limited background knowledge;Basu,2004

5. Semi-supervised clustering by seeding;Basu,2002

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. Semi-supervised hierarchical ensemble clustering based on an innovative distance metric and constraint information;Engineering Applications of Artificial Intelligence;2023-09

2. The Multi-Agent Decision Fusion Method Based on Conflict Evidence Allocation Using Distance Proportions;2023 15th International Conference on Communication Software and Networks (ICCSN);2023-07-21

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