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An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification.

Z. Li, Y. Gao, Z. Niu, S. Yuan, C. Zheng, and J. Liu. BIBM, page 2088-2094. IEEE, (2022)

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Shasha Shi

Shasha Bi

Lei Yuan

Li Yuan

Fang Yuan

Other publications of authors with the same name

Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram.K. Yan, J. Shang, J. Wang, J. Xu, and S. Yuan. ICIC (2), volume 14087 of Lecture Notes in Computer Science, page 272-282. Springer, (2023)NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification.J. Wang, L. Wang, S. Yuan, F. Li, J. Liu, and J. Shang. IEEE J. Biomed. Health Informatics, 27 (10): 5199-5209 (October 2023)Laplacian regularized low-rank representation for cancer samples clustering.J. Wang, J. Liu, X. Kong, S. Yuan, and L. Dai. Comput. Biol. Chem., (2019)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)A Fast Quantum Clustering Approach for Cancer Gene Clustering.R. Zhu, G. Li, J. Liu, L. Dai, S. Yuan, and Y. Guo. BIBM, page 1610-1613. IEEE Computer Society, (2018)A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data.J. Wang, L. Wang, T. Qiao, and S. Yuan. BIBM, page 3179-3186. IEEE, (2022)Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model.X. Dong, Y. Wen, D. Ji, S. Yuan, Z. Liu, W. Shang, and W. Zhou. Int. J. Neural Syst., 34 (3): 2450012:1-2450012:16 (March 2024)Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data.S. Wu, M. Hou, J. Liu, J. Wang, and S. Yuan. ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 419-431. Springer, (2018)Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.J. Wang, C. Lu, X. Kong, L. Dai, S. Yuan, and X. Zhang. BMC Bioinform., 22-S (12): 334 (January 2022)

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Disambiguation of "Yuan, Shasha"

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An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification.

Please choose a person to relate this publication to

Shasha Shi

Shasha Bi

Lei Yuan

Li Yuan

Fang Yuan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yuan, Shasha"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification.

Please choose a person to relate this publication to

Shasha Shi

Shasha Bi

Lei Yuan

Li Yuan

Fang Yuan

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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An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification.