A Fuzzy Multi-class Novelty Detector for Data Streams Under Intermediate Latency-Reference-Cited by-同舟云学术

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A Fuzzy Multi-class Novelty Detector for Data Streams Under Intermediate Latency

Published:2021-07-11 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Author:

Cristiani Andre Luis,de Arruda Camargo Heloisa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9494373/9494343/09494448.pdf?arnumber=9494448

Cited by 5 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. Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay;Information Sciences;2024-09

2. Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities;ACM Computing Surveys;2024-05-14

4. Review on novelty detection in the non-stationary environment;Knowledge and Information Systems;2023-11-30

5. A Rough Set System for Mining from Streaming Data;2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2022-07-18

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