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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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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis.Y. Wang, X. Kong, B. Guan, C. Zheng, and Y. Gao. ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 324-334. Springer, (2023)A multi-view classification and feature selection method via sparse low-rank regression analysis.Y. Lu, Y. Gao, P. Li, and J. Liu. Int. J. Data Min. Bioinform., 24 (2): 140-159 (2020)The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.Z. Cui, Y. Gao, J. Liu, J. Wang, J. Shang, and L. Dai. BMC Bioinform., 20 (1): 5 (December 2019)DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.J. Liu, M. Gao, Z. Cui, Y. Gao, and F. Li. BMC Bioinform., 22-S (3): 241 (2021)DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile.M. Yin, Z. Cui, J. Liu, Y. Gao, and X. Kong. IDMB, volume 1099 of Communications in Computer and Information Science, page 196-208. Springer, (2019)Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder.Y. Gao, D. Zhang, C. Jiao, Y. Gao, and J. Liu. ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 359-367. Springer, (2023)MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes.S. Wang, J. Liu, B. Liu, L. Dai, F. Li, and Y. Gao. BIBM, page 648-653. IEEE, (2023)Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy.C. Jiao, J. Liu, Y. Gao, X. Kong, C. Zheng, and X. Yu. BIBM, page 418-423. IEEE, (2021)A review of recent advances in spatially resolved transcriptomics data analysis.Y. Gao, Y. Gao, J. Jing, F. Li, C. Zheng, and J. Liu. Neurocomputing, (2024)Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation.G. Zhang, S. Li, X. Dou, J. Shang, Q. Ren, and Y. Gao. BIBM, page 2216-2223. IEEE, (2022)

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Disambiguation of "Gao, Ying-Lian"

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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

Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gao, Ying-Lian"

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

Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Disambiguation

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