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ResNet18DNN: prediction approach of drug-induced liver injury by deep neural network with ResNet18., , , , , , , и . Briefings Bioinform., (2022)The prediction approach of drug-induced liver injury: response to the issues of reproducible science of artificial intelligence in real-world applications., , , , , , , и . Briefings Bioinform., (2022)Elaborately Tuning Intramolecular Electron Transfer Through Varying Oligoacene Linkers in the Bis (diarylamino) Systems, , , , , , и . Scientific Reports, (2016)The role of design in Ubicomp research and practice., , , , и . UbiComp, стр. 629-630. ACM, (2011)Image Compressive Sensing Recovery via Collaborative Sparsity., , , , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 2 (3): 380-391 (2012)Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity., , , , и . IEEE Trans. Circuits Syst. Video Techn., 27 (6): 1182-1195 (2017)3-D Convolutional Neural Networks for Glioblastoma Segmentation., , , и . CoRR, (2016)CREAM: CNN-REgularized ADMM Framework for Compressive-Sensed Image Reconstruction., , , и . IEEE Access, (2018)CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking., , , , , и . IEEE Trans. Image Processing, 25 (3): 1246-1259 (2016)Do We Talk Differently: Cross Culture Study on Conference Call., , и . HCI (10), том 4559 из Lecture Notes in Computer Science, стр. 637-645. Springer, (2007)