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Latent information-guided one-step multi-view fuzzy clustering based on cross-view anchor graph Journal article
Zhang, Chuanbin, Chen, Long, Shi, Zhaoyin, Ding, Weiping. Latent information-guided one-step multi-view fuzzy clustering based on cross-view anchor graph[J]. Information Fusion, 2024, 102, 102025.
Authors:  Zhang, Chuanbin;  Chen, Long;  Shi, Zhaoyin;  Ding, Weiping
Favorite | TC[WOS]:7 TC[Scopus]:10  IF:14.7/16.1 | Submit date：2024/02/22
Anchor Graph  Fuzzy Clustering  Information Fusion  Latent Feature  Multi-view Learning  
Parameter-Free Robust Ensemble Framework of Fuzzy Clustering Journal article
Shi,Zhaoyin, Chen,Long, Ding,Weiping, Zhang,Chuanbin, Wang,Yingxu. Parameter-Free Robust Ensemble Framework of Fuzzy Clustering[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(12), 4205-4219.
Authors:  Shi,Zhaoyin;  Chen,Long;  Ding,Weiping;  Zhang,Chuanbin;  Wang,Yingxu
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:10.7/9.7 | Submit date：2023/08/03
Clustering Algorithms  Clustering Ensemble  Computational Efficiency  Costs  Fluctuations  Fuzzy Clustering  Latent Information  Matrix Decomposition  Optimization  Parameter-free Model  Spectral Feature  Tensors  
Fuzzy clustering for multiview data by combining latent information Journal article
Huiqin Wei, Long Chen, C. L. Philip Chen, Junwei Duan, Ruizhi Han, Li Guo. Fuzzy clustering for multiview data by combining latent information[J]. APPLIED SOFT COMPUTING, 2022, 126, 109140.
Authors:  Huiqin Wei;  Long Chen;  C. L. Philip Chen;  Junwei Duan;  Ruizhi Han; et al.
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:7.2/7.0 | Submit date：2022/08/02
Fuzzy Clustering  Latent Information  Multiview Data  Tensor  Weighting  
Natural interface-mediated self-assembly of graphene-isolated-nanocrystals for plasmonic arrays construction and personalized information acquisition Journal article
Wang, Shen, Peng, Tianhuan, Li, Shengkai, Wang, Linlin, Zhang, Liang, Yin, Zhiwei, Xia, Xin, Cai, Xinqi, Cao, Xiaoxu, Chen, Long, Chen, Zhuo, Tan, Weihong. Natural interface-mediated self-assembly of graphene-isolated-nanocrystals for plasmonic arrays construction and personalized information acquisition[J]. Nano Research, 2022, 15(10), 9327-9333.
Authors:  Wang, Shen;  Peng, Tianhuan;  Li, Shengkai;  Wang, Linlin;  Zhang, Liang; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:9.5/9.0 | Submit date：2022/08/05
Interface  Latent Fingerprint  Personalized Information Acquisition  Self-assembly  
A person-centered approach to teacher motivation towards information technology: integrating achievement goal and expectancy-value perspectives Journal article
Xu, Jianzhong. A person-centered approach to teacher motivation towards information technology: integrating achievement goal and expectancy-value perspectives[J]. ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 2022, 70(2), 397-417.
Authors:  Xu, Jianzhong
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:3.3/4.8 | Submit date：2022/05/17
Achievement Goal  Expectancy And Value  Information Technology  Latent Profile Analysis  Teacher Motivation  
A novel relative entropy-posterior predictive model checking approach with limited information statistics for latent trait models in sparse 2k contingency tables Journal article
Huiping Wu, Ka-Veng Yuen, Shing-On Leung. A novel relative entropy-posterior predictive model checking approach with limited information statistics for latent trait models in sparse 2k contingency tables[J]. Computational Statistics and Data Analysis, 2014, 79, 261-276.
Authors:  Huiping Wu;  Ka-Veng Yuen;  Shing-On Leung
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:1.5/1.7 | Submit date：2019/02/12
Goodness-of-fit  Latent Trait Model  Limited Information Statistics  Parametric Bootstrapping  Posterior Predictive Model Checking  Relative Entropy  
A novel relative entropy–posterior predictive model checking approach with limited information statistics for latent trait models in sparse 2k contingency tables Journal article
Wu, H. P., Yuen, K. V., Leung, S. O.. A novel relative entropy–posterior predictive model checking approach with limited information statistics for latent trait models in sparse 2k contingency tables[J]. Computational Statistics and Data Analysis, 2014, 261-276.
Authors:  Wu, H. P.;  Yuen, K. V.;  Leung, S. O.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:1.5/1.7 | Submit date：2022/07/27
Goodness-of-fit  Latent Trait Model  Limited Information Statistics  Parametric Bootstrapping  Posterior Predictive Model Checking  Relative Entropy  
Identification Conference paper
Cheung, K.C., Sit, P. S., Mak, S. K.. Identification[C], Kaohsiung:Taiwan Educational Research Association, 2011.
Authors:  Cheung, K.C.;  Sit, P. S.;  Mak, S. K.
Favorite |  | Submit date：2022/06/08
Scientific Literacy  Information Technology  Computer-delivered Assessment  Latent Profile Analysis  Pisa