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On the Soundness of Call Graph Construction in the Presence of Dynamic Language Features - A Benchmark and Tool Evaluation., , , , и . APLAS, том 11275 из Lecture Notes in Computer Science, стр. 69-88. Springer, (2018)Alpha band neurofeedback training based on a portable device improves working memory performance of young people., и . Biomed. Signal Process. Control., 80 (Part): 104308 (2023)A study of single statement bugs involving dynamic language features., , , и . ICPC, стр. 494-498. ACM, (2022)A Web-Based Environment for Introductory Programming based on a Bi-Directional Layered Notional Machine., , , и . ITiCSE, стр. 364. ACM, (2016)Combined global and local information for blind CT image quality assessment via deep learning., , , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11316 из SPIE Proceedings, стр. 1131615. SPIE, (2020)Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network., , , , , и . CoRR, (2019)Blind CT image quality assessment via deep learning strategy: initial study., , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 10577 из SPIE Proceedings, стр. 105771A. SPIE, (2018)An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization., , , , , , , , , и 3 other автор(ы). IEEE Trans. Medical Imaging, 38 (2): 360-370 (2019)On the Use of Mined Stack Traces to Improve the Soundness of Statically Constructed Call Graphs., , и . APSEC, стр. 672-676. IEEE Computer Society, (2017)Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction., , , , , , и . IEEE Trans. Computational Imaging, (2024)