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Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion

机译：基于修改的D2GAN过采样和分类器融合的二进制不平衡数据分类

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Junhai Zhai; Jiaxing Qi; Sufang Zhang;
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年度 2020
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1. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification [J] . Jinyan Li, Simon Fong, Yunsick Sung, BioData Mining . 2016,第1期

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2. Oversampling technique based on fuzzy representativeness difference for classifying imbalanced data [J] . Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2020,第8期

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3. An Improved Oversampling Algorithm Based on the Samples’ Selection Strategy for Classifying Imbalanced Data [J] . Wenhao Xie, Gongqian Liang, Zhonghui Dong, Mathematical Problems in Engineering: Theory, Methods and Applications . 2019,第1期

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4. Oversampling by a Constraint-Based Causal Network in Medical Imbalanced Data Classification [C] . Hao Luo, Jun Liao, Xuewen Yan, IEEE International Conference on Multimedia and Expo . 2021

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5. A Model Fusion Based Framework For Imbalanced Classification Problem with Noisy Dataset [D] . He, Miao. 2014

机译：含噪声数据集的不平衡分类问题的基于模型融合的框架
6. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification [O] . Jinyan Li, Simon Fong, Yunsick Sung, 2016

机译：生物医学数据分类中基于二元不平衡数据集的自适应群聚动态多目标综合少数抽样技术算法
7. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification [O] . 2016

机译：生物医学数据分类中基于二元不平衡数据集的自适应群聚动态多目标综合少数抽样技术算法

Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion

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