Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance-Reference-Cited by-同舟云学术

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Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance

Published:2020 Issue: Volume:8 Page:13527-13540
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pes Barbara^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08957486.pdf?arnumber=8957486

Cited by 29 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

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3. A Data-Driven Approach for Building a Cardiovascular Disease Risk Prediction System;Lecture Notes in Computer Science;2024

4. PWSC: a novel clustering method based on polynomial weight-adjusted sparse clustering for sparse biomedical data and its application in cancer subtyping;BMC Bioinformatics;2023-12-21

5. Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

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