Improving Medical Predictions with Label Noise Tolerant Classification-Reference-Cited by-同舟云学术

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Improving Medical Predictions with Label Noise Tolerant Classification

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

Vernekar Shivam¹,Ayyar Arun²,Rajagopalan Arun³,Kumar Bijendra⁴,Mishra Vivek Kumar¹

Affiliation:

1. Evive Software Analytics Pvt. Ltd.,Bengaluru,India

2. Santa Fe Research Pvt Ltd,Chennai,India

3. Evive Software Analytics Pvt. Ltd.,Data Science,Bengaluru,India

4. Galgotia College of Engineering and Technology,Electrical and Electronics Engineering,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073967/10073974/10074230.pdf?arnumber=10074230

Reference19 articles.

1. The subjective nature of outlier rejection procedures;collett;Journal of the Royal Statistical Society Series C (Applied Statistics),1976

2. Enhancing data analysis with noise removal

3. A density-based algorithm for discovering clusters in large spatial databases with noise;ester;KDD,1996

4. Semi-Supervised Learning

5. Identification of Outliers

Cited by 1 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. Deep learning with noisy labels in medical prediction problems: a scoping review;Journal of the American Medical Informatics Association;2024-05-30

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