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Self-training framework based on multi-granularity local cores for class-imbalanced semi-supervised classification in business applications.

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第一作者： Junnan,Li

第一单位： School of Artificial Intelligence and Big Data, Chongqing Industry Polytechnic University, Chongqing 401120, China. Electronic address: jameslee@uestc.edu.cm.

作者： Junnan,Li ^[1] ; Xiaosheng,Su ^[2] ; Leo,Wang ^[3] ; Jicheng,Ma ^[4] ; Yingjun,Xia ^[5] ; Yuqing,Gu ^[6] ; Shun,Fu ^[7] ; Wenli,Xu ^[8] ; Ziqiang,He ^[9]

作者单位： School of Artificial Intelligence and Big Data, Chongqing Industry Polytechnic University, Chongqing 401120, China. Electronic address: jameslee@uestc.edu.cm. ^[1] School of Artificial Intelligence and Big Data, Chongqing Industry Polytechnic University, Chongqing 401120, China. Electronic address: xiaoshengsucqipc@163.com. ^[2] University of Electronic Science and Technology of China, Chengdu, China. Electronic address: leowangnj@163.com. ^[3] School of Mathematics and Artificial Intelligence, Chongqing University of Arts and Sciences, Chongqing 402160, China. Electronic address: ma_jicheng@hotmail.com. ^[4] School of Electronic Science and Technology, Hainan University, Haikou 570228, China. Electronic address: xiaying_jun@163.com. ^[5] School of Artificial Intelligence and Big Data, Chongqing Industry Polytechnic University, Chongqing 401120, China. Electronic address: guyq@cqipc.edu.cn. ^[6] School of Artificial Intelligence and Big Data, Chongqing Industry Polytechnic University, Chongqing 401120, China. Electronic address: fushun@cqipc.edu.cn. ^[7] School of Artificial Intelligence and Big Data, Chongqing Industry Polytechnic University, Chongqing 401120, China. Electronic address: 20115352@cqu.edu.cn. ^[8] Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400050, China. Electronic address: ziqiang.he@foxmail.com. ^[9]

关键词 Class-imbalanced classification Local cores Multi-granularity learning Natural neighbors Self-training methods Semi-supervised classification

DOI 10.1016/j.neunet.2026.109145

PMID 42250531

发布时间 2026-06-06

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