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A tuning framework for software-managed memory hierarchies., , , , и . PACT, стр. 280-291. ACM, (2008)Randomize Adversarial Defense in a Light Way., , , и . IEEE Big Data, стр. 1080-1089. IEEE, (2022)White matter neuroplastic changes in long-term trained players of the game of "Baduk" (GO): A voxel-based diffusion-tensor imaging study., , , , , , , , и . NeuroImage, 52 (1): 9-19 (2010)A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization., , , , и . J. Medical Syst., 43 (8): 253:1-253:8 (2019)Training Neural Networks with Random Noise Images for Adversarial Robustness., , , и . CIKM, стр. 3358-3362. ACM, (2021)Compilation for explicitly managed memory hierarchies., , , , , , , , и . PPoPP, стр. 226-236. ACM, (2007)Expanding the presidential debate by tweeting: The 2012 presidential election debate in South Korea., , , и . Telematics Informatics, 33 (2): 557-569 (2016)The emerging viewertariat in South Korea: The Seoul mayoral TV debate on Twitter, Facebook, and blogs., , , и . Telematics Informatics, 33 (2): 570-583 (2016)Causal Disentanglement for Adversarial Defense., , , и . AI (1), том 14471 из Lecture Notes in Computer Science, стр. 315-327. Springer, (2023)Sequoia: programming the memory hierarchy., , , , , , , , , и 1 other автор(ы). SC, стр. 83. ACM Press, (2006)