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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)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)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)From offline to online: connecting people with a mobile social networking application at a conference., , , и . CCHI, стр. 40-49. ACM, (2014)IBM research in China.. Interactions, 13 (2): 20-21 (2006)A New Reconstruction Algorithm in Spline Signal Spaces., , и . International Conference on Computational Science (1), том 3991 из Lecture Notes in Computer Science, стр. 204-209. Springer, (2006)CREAM: CNN-REgularized ADMM Framework for Compressive-Sensed Image Reconstruction., , , и . IEEE Access, (2018)