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

, , , , , and . BIBM, page 2088-2094. IEEE, (2022)

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Eigenface-Based Sparse Representation for Face Recognition., , , and . ICIC (2), volume 7996 of Lecture Notes in Computer Science, page 457-465. Springer, (2013)A feature-based approach to predict hot spots in protein-DNA binding interfaces., , , and . Briefings Bioinform., 21 (3): 1038-1046 (2020)Tumor Classification Using Non-negative Matrix Factorization., , , and . ICIC (3), volume 15 of Communications in Computer and Information Science, page 236-243. Springer, (2008)Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (1): 277-284 (January 2023)Cancer genes discovery based on integtating transcriptomic data and the impact of gene length., , , and . BIBM, page 1265-1268. IEEE Computer Society, (2016)Inferring the Transcriptional Modules Using Penalized Matrix Decomposition., , , , and . ICIC (2), volume 6216 of Lecture Notes in Computer Science, page 35-41. Springer, (2010)Recognition of Plant Leaves Using Support Vector Machine., , , and . ICIC (3), volume 15 of Communications in Computer and Information Science, page 192-199. Springer, (2008)Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm., , , , and . ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 742-749. Springer, (2016)HGMDA: HyperGraph for Predicting MiRNA-Disease Association., , , , , and . ICIC (2), volume 11644 of Lecture Notes in Computer Science, page 265-271. Springer, (2019)Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis., , , , and . ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 324-334. Springer, (2023)