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[2] Yuhua Qian,Honghong Cheng, Jieting Wang,Jiye Liang,Witold Pedrycz,Chuangyin Dang. Grouping granular structures in human granulation intelligence, Information Sciences, 2017, 382-383:150–169.点击阅览
[3] Feijiang Li,Yuhua Qian,Jieting Wang,Jiye Liang. Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method, Information Sciences, 2017, 378:389–409.点击阅览
[4] Liang Bai,Xueqi Cheng,Jiye Liang,Yike Guo. Fast graph clustering with a new description model for community detection, Information Sciences, 2017, 388-389:37–47.点击阅览
[5] Qian Chen,Xin Guo,Hexiang Bai. Semantic-based topic detection using Markov decision processes, Neurocomputing, 2017, 24:40–50.点击阅览
[6] Yunsheng Song,Jiye Liang,Jing Lu,Xingwang Zhao. An efficient instance selection algorithm for k nearest neighbor regression, Neurocomputing, 2017, 251:26-34.点击阅览
[7] Gaoxia Jiang,Wenjian Wang. Error estimation based on variance analysis of k-fold cross-validation, Pattern Recognition, 2017, 69:94-106.点击阅览
[8] Fuyuan Cao,Liqin Yu,Joshua Zhexue Huang,Jiye Liang. k-mw-modes: an algorithm for clustering categorical matrix-object data, Applied Soft Computing, 2017, 57:605-614.点击阅览
[9] Xingwang Zhao,Jiye Liang,Chuangyin Dang. Clustering ensemble selection for categorical data based on internal validity indices, Pattern Recognition, 2017, 69:150–168.点击阅览
[10] Yuhua Qian,Xinyan Liang,Guoping Lin,Qian Guo,Jiye Liang. Local multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2017, 82:119-137.点击阅览
[11] Yuhua Qian,Yebin Li,Min Zhang,Guoshuai Ma,Furong Lu. Quantifying edge significance on maintaining global connectivity, Scientific Reports, 2017, 10.1038/srep45380.点击阅览
[12] Ruixia Zhang,Deyu Li. Rumor propagation on networks with community structure, Physica A: Statistical Mechanics and its Applications, 2017, 483:375–385.点击阅览
[13] Jifang Pang,Jiye Liang,Peng Song. An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment, Applied Soft Computing, 2017, 58:339-353.点击阅览
[14] Liang Bai,Xueqi Chen,Jiye Liang,Huawei Shen,Yike Guo. Fast density clustering strategies based on the k-means algorithm, Pattern Recognition, 2017, 71:375–386.点击阅览
[15] Hang Xu,Wenjian Wang,Yuhua Qian. Fusing complete monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10):2223-2235.点击阅览
[16] Lifang Ren,Wenjian Wang,Hang Xu. A Reinforcement Learning Method for Constraint-Satisfied Services Composition, IEEE Transactions on Services Computing, 2017, 10.1109/TSC.2017.2727050.点击阅览
[17] JianLiao,Suge Wang,Deyu Li,Xiaoli Li. FREERL: Fusion relation embedded representation learning framework for aspect extraction, Knowledge-Based Systems, 2017, 10.1016/j.knosys.2017.07.015.点击阅览
[18] Xiaoqiang Guan,Jiye Liang,Yuhua Qian,Jifang Pang. A multi-view OVA model based on decision tree for multi-classification tasks, Knowledge-Based Systems, 2017, 138:208–219.点击阅览
[19] Jie Wang,Wenping Zheng,Yuhua Qian,Jiye Liang. A seed expansion graph clustering method for protein complexes detection in protein interaction networks, Molecules, 2017, 22:2179.点击阅览
[20] 杨贵,郑文萍,王文剑,张浩杰. 一种加权稠密子图社区发现算法, 软件学报, 2017, 28(11):3103?3114. 点击阅览
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[22] 许行,王文剑,任丽芳. 一种基于决策森林的单调分类方法, 计算机研究与发展, 2017, 54(7):1477-1487.点击阅览
[23] 杜航远,王文剑,白亮. 一种基于优化模型的演化数据流聚类方法, 中国科学(E辑:信息科学), 2017, 10.1360/N112017-00107.点击阅览