机译:KA-Ensemble:迈向非衡度的图像分类合并,在抽样和过度采样
Department of Electronic Engineering College of Information Science and Engineering Ocean University of China Qingdao 266100 China;
Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery The Affiliated Hospital of Qingdao University Qingdao 266003 China;
Department of Electronic Engineering College of Information Science and Engineering Ocean University of China Qingdao 266100 China;
Department of Electronic Engineering College of Information Science and Engineering Ocean University of China Qingdao 266100 China;
Department of Electronic Engineering College of Information Science and Engineering Ocean University of China Qingdao 266100 China Department of Mathematics. School of Science and Engineering University of Dundee Dundee DD1 4HN UK;
Department of Electronic Engineering College of Information Science and Engineering Ocean University of China Qingdao 266100 China;
College of Mechanical and Electrical Engineering Qingdao Agricultural University Qingdao 266109 China;
Class-imbalance learning; Under-sampling; Over-sampling; Ensemble learning; Image classification;
机译:基于演化欠采样的装袋集成方法用于不平衡数据分类
机译:在严重失衡的数据中通过欠采样进行过采样
机译:基于聚类的下抽样的组合,并在智能系统中解决不平衡类问题的组合方法
机译:支持向量机的类别不平衡轨道数据分类,基于引导的过度采样和欠抽样
机译:光谱带选择用于高光谱图像的整体分类,并应用于农业和食品安全。
机译:迭代集成特征选择用于不平衡微阵列数据的多类分类
机译:基于过采样和欠采样的不平衡数据集进化演化预处理新方法