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An Adaptive Hierarchical Concatenated Network With A Robust Loss Function For Image Denoising., , , , and . J. Grid Comput., 20 (1): 9 (2022)Research on the hydraulic parameters and leak rate of natural gas flow in natural gas pipelines based on the methods of characteristic line and successive approximation., , , and . J. Comput. Methods Sci. Eng., 24 (3): 1649-1664 (2024)Contrastive Learning with Dynamic Weighting and Jigsaw Augmentation for Brain Tumor Classification in MRI., , , , , and . Neural Process. Lett., 55 (4): 3733-3761 (2023)VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning., , , , , , , , and . PLoS Comput. Biol., (2020)Deep integrative analysis for survival prediction., , and . PSB, page 343-352. (2018)Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks., , , , , , and . BMC Bioinform., 19 (1): 64:1-64:9 (2018)Predicting survival outcomes using topological features of tumor pathology images., , and . CoRR, (2020)A community computational challenge to predict the activity of pairs of compounds., , , , , , , , , and 16 other author(s). Nature biotechnology, 32 (12): 1213--1222 (December 2014)Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images., , , , and . CoRR, (2020)Gene Function Prediction by a Combined Analysis of Gene Expression Data and Protein-protein Interaction Data., and . J. Bioinform. Comput. Biol., 3 (6): 1371-1390 (2005)