中国矿业大学主页平台系统孙中彬--中文主页--科学研究

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孙中彬,刁宇轩,马苏洋.基于安全欠采样的不均衡多标签数据集成学习方法,2024,:,17
孙中彬,黎晓龙,李怿然,马跃.Memoryless Multimodal Anomaly Detection via Student–Teacher Network and Signed Distance Learning,2024,卷: 13 期: 19
孙中彬,Zhang, Jingqi,Zhu, Xiaoyan,徐东红.How Far Have We Progressed in the Sampling Methods for Imbalanced Data Classification? An Empirical Study,2023,卷: 12期: 20
刁宇轩,孙中彬,周勇.A Multi-label Imbalanced Data Classification Method Based on Label Partition Integration,2023,v 14094 LNCS,p14-25
Liu, Shiran,Guo, Zhaoqiang,Li, Yanhui,Wang, Chuanqi,Chen, Lin,孙中彬,Zhou, Yuming,Xu, Baowen.Inconsistent Defect Labels: Essence, Causes, and Influence,2023,卷: 49期: 2页: 586-610
Sun, Heli,Zhang, Yawei,Jia, Xiaolin,Wang, Pei,Huang, Ruodan,Huang, Jianbin,He, Liang,孙中彬.A truss-based approach for densest homogeneous subgraph mining in node-attributed graphs,2021

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