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Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification.

Z. Niu, L. Ren, R. Zhu, X. Kong, Y. Gao, и J. Liu. ICIC (2), том 12837 из Lecture Notes in Computer Science, стр. 532-539. Springer, (2021)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Другие публикации лиц с тем же именем

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, и Y. Gao. ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 324-334. Springer, (2023)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, и L. Dai. BMC Bioinform., 20 (1): 5 (декабря 2019)DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile.M. Yin, Z. Cui, J. Liu, Y. Gao, и X. Kong. IDMB, том 1099 из Communications in Computer and Information Science, стр. 196-208. Springer, (2019)Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder.Y. Gao, D. Zhang, C. Jiao, Y. Gao, и J. Liu. ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 359-367. Springer, (2023)DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.J. Liu, M. Gao, Z. Cui, Y. Gao, и F. Li. BMC Bioinform., 22-S (3): 241 (2021)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, и Y. Gao. BIBM, стр. 648-653. IEEE, (2023)A review of recent advances in spatially resolved transcriptomics data analysis.Y. Gao, Y. Gao, J. Jing, F. Li, C. Zheng, и J. Liu. Neurocomputing, (2024)Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy.C. Jiao, J. Liu, Y. Gao, X. Kong, C. Zheng, и X. Yu. BIBM, стр. 418-423. IEEE, (2021)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, и Y. Gao. BIBM, стр. 2216-2223. IEEE, (2022)A multi-view classification and feature selection method via sparse low-rank regression analysis.Y. Lu, Y. Gao, P. Li, и J. Liu. Int. J. Data Min. Bioinform., 24 (2): 140-159 (2020)

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