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Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data., , и . VDMB, том 4316 из Lecture Notes in Computer Science, стр. 40-49. Springer, (2006)Annotating gene function by combining expression data with a modular gene network., , и . ISMB/ECCB (Supplement of Bioinformatics), стр. 468-478. (2007)Generalized Sparse Learning of Linear Models Over the Complete Subgraph Feature Set., и . IEEE Trans. Pattern Anal. Mach. Intell., 39 (3): 617-624 (2017)Efficiently mining δ-tolerance closed frequent subgraphs., и . Mach. Learn., 82 (2): 95-121 (2011)Dual graph convolutional neural network for predicting chemical networks., , , , , , и . BMC Bioinform., 21-S (3): 94 (апреля 2020)An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting., , , , и . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 100-A (3): 865-876 (2017)Fast algorithms for finding a minimum repetition representation of strings and trees., , , , и . Discret. Appl. Math., 161 (10-11): 1556-1575 (2013)Machine learning refinement of in situ images acquired by low electron dose LC-TEM., , , и . CoRR, (2023)Theoretical Analyses on Ensemble and Multiple Kernel Regressors., , , и . ACML, том 39 из JMLR Workshop and Conference Proceedings, JMLR.org, (2014)Fast improvement of TEM image with low-dose electrons by deep learning., , , и . CoRR, (2021)