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Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.

L. Ren, J. Liu, Y. Gao, X. Kong, and C. Zheng. Knowl. Based Syst., (2021)

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Thay Kong

Xiangqing Kong

Seunghyun Kong

Wei Xiang

Xuemin Xiang

Other publications of authors with the same name

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.0.K. Gorgolewski, O. Esteban, C. Burns, E. Ziegler, B. Pinsard, C. Madison, M. Waskom, D. Ellis, D. Clark, J. Wong and 58 other author(s). (May 2017)Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.12.0-rc1.K. Gorgolewski, O. Esteban, C. Burns, E. Ziegler, B. Pinsard, C. Madison, M. Waskom, D. Ellis, D. Clark, M. Dayan and 54 other author(s). (April 2016)Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data.Y. Song, X. Kong, J. Liu, J. Wang, S. Yuan, and L. Dai. BIBM, page 92-95. IEEE, (2020)Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering.Y. Zhao, M. Wang, J. Wang, S. Yuan, J. Liu, and X. Kong. BIBM, page 397-401. IEEE, (2020)Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.C. Wang, Y. Gao, C. Jiao, J. Liu, C. Zheng, and X. Kong. BIBM, page 121-125. IEEE, (2020)Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.J. Wang, C. Lu, J. Liu, L. Dai, and X. Kong. BMC Bioinform., 20-S (22): 718 (2019)Laplacian regularized low-rank representation for cancer samples clustering.J. Wang, J. Liu, X. Kong, S. Yuan, and L. Dai. Comput. Biol. Chem., (2019)nipy/nipype: 1.2.2.K. Gorgolewski, O. Esteban, C. Markiewicz, E. Ziegler, D. Ellis, D. Jarecka, H. Johnson, M. Notter, C. Burns, A. Manhães-Savio and 159 other author(s). (September 2019)nipy/nipype: 1.1.1.K. Gorgolewski, O. Esteban, C. Markiewicz, E. Ziegler, D. Ellis, M. Notter, H. Johnson, D. Jarecka, C. Burns, A. Manhães-Savio and 134 other author(s). (July 2018)nipy/nipype: 1.1.7.K. Gorgolewski, O. Esteban, C. Markiewicz, E. Ziegler, D. Ellis, D. Jarecka, M. Notter, H. Johnson, C. Burns, A. Manhães-Savio and 135 other author(s). (December 2018)

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Disambiguation of "Kong, Xiang-Zhen"

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Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.

Please choose a person to relate this publication to

Thay Kong

Xiangqing Kong

Seunghyun Kong

Wei Xiang

Xuemin Xiang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kong, Xiang-Zhen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.

Please choose a person to relate this publication to

Thay Kong

Xiangqing Kong

Seunghyun Kong

Wei Xiang

Xuemin Xiang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.