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A GA-SVM Feature Selection Model Based on High Performance Computing Techniques., , , , и . SMC, стр. 2653-2658. IEEE, (2009)Tessellated Surface Reconstruction from 2D Contours., , , и . MICCAI, том 1679 из Lecture Notes in Computer Science, стр. 297-307. Springer, (1999)Estimating the initial values of unobservable variables in visual probabilistic networks., и . CAIP, том 970 из Lecture Notes in Computer Science, стр. 326-333. Springer, (1995)Deep learning based DNA: RNA triplex forming potential prediction., , и . BMC Bioinform., 21 (1): 522 (2020)A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods., , , , , и . Briefings Bioinform., (2022)Predicting human microbe-drug associations via graph convolutional network with conditional random field., , , , и . Bioinform., 36 (19): 4918-4927 (2020)Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification., , , , , , и . CoRR, (2022)Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification., , , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (12): 15604-15618 (декабря 2023)ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences., , , , , , и . J. Biomed. Informatics, (июня 2023)A heterogeneous graph cross-omics attention model for single-cell representation learning., , , , , и . BIBM, стр. 270-275. IEEE, (2022)