A Novel Class Imbalance-oriented Polynomial Neural Network Algorithm for Disease Diagnosis-Reference-Cited by-同舟云学术

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A Novel Class Imbalance-oriented Polynomial Neural Network Algorithm for Disease Diagnosis

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Yuan Xiaohan,Chen Shuyu,Sun Chuan,Yuwen Lu

Funder

National Natural Science Foundation of China

Research and Innovation Foundation

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669281.pdf?arnumber=9669281

Reference34 articles.

1. Learning from Imbalanced Data

2. Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

3. A Multi-View Deep Neural Network Model for Chemical-Disease Relation Extraction From Imbalanced Datasets

4. RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

5. Diversity measures for multiple classifier system analysis and design

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1. Handling imbalanced medical datasets: review of a decade of research;Artificial Intelligence Review;2024-09-02

2. Balanced And Discriminative Contrastive Learning For Class-Imbalanced Medical Images;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. CHSMOTE: Convex hull-based synthetic minority oversampling technique for alleviating the class imbalance problem;Information Sciences;2023-04

4. Detection of chronic diseases based on the principles of deep and machine learning;4TH INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2022);2023

5. A novel early diagnostic framework for chronic diseases with class imbalance;Scientific Reports;2022-05-21

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