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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：西安交通大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Stratified Sampling Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 卷号: 34, 期号: [db:dc_citation_issue], 页码: 1616-1623 作者:  Xu, Xiayu;  Lee, Kyungmoo;  Zhang, Li;  Sonka, Milan;  Abramoff, Michael D. 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/02 stratified sampling  intraretinal fluid  subretinal fluid  class imbalance  Age-related macular degeneration   A dissimilarity-based imbalance data classification algorithm 期刊论文 APPLIED INTELLIGENCE, 2015, 卷号: 42, 期号: [db:dc_citation_issue], 页码: 544-565 作者:  Zhang, Xueying;  Song, Qinbao;  Wang, Guangtao;  Zhang, Kaiyuan;  He, Liang 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/02 Dissimilarity-based classification  Prototype selection  Class imbalance  Feature selection  Software defect prediction   BalancedBoost: A Hybrid Approach for Real-time Network Traffic Classification 会议论文 作者:  Wei, Hengyi;  Sun, Baocheng;  Jing, Mingming 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 ensemble learning  feature selection  Network traffic classification  class imbalance   IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree 期刊论文 COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2014, 卷号: 43, 期号: [db:dc_citation_issue], 页码: 2714-2731 作者:  Zhang, Chun-Xia;  Wang, Guan-Wei;  Zhang, Jiang-She;  Guo, Gao;  Ying, Qing-Yan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03 Bagging  Ensemble learning  Random tree  Inverse random under sampling  Class imbalance problem   Using Coding-Based Ensemble Learning to Improve Software Defect Prediction 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2012, 卷号: 42, 期号: [db:dc_citation_issue], 页码: 1806-1817 作者:  Sun, Zhongbin;  Song, Qinbao;  Zhu, Xiaoyan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/10 meta learning  multiclassifier  software defect prediction  Class-imbalance data