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Optimizing Worst-Case Execution Times Using Mainstream Compilers., и . SCOPES, стр. 10-13. ACM, (2018)Industrial perspective on reuse of safety artifacts in software product lines., , , , и . SPLC (A), стр. 23:1-23:12. ACM, (2019)Approaches for Software Verification of An Emergency Recovery System for Micro Air Vehicles., , , и . SAFECOMP Workshops, том 9338 из Lecture Notes in Computer Science, стр. 369-385. Springer, (2015)Extracting Semantics from Unconstrained Navigation on Wikipedia, , , и . Künstliche Intell., 30 (2): 163--168 (2016)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions, , , , , , , , , и 1 other автор(ы). Nature Machine Intelligence, 2 (10): 619--628 (2020)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity, , , , , , , , , и 1 other автор(ы). npj Digital Medicine, 6 (1): 171 (2023)Cross-species comparative analysis of single presynapses, , , , , , , , , и 1 other автор(ы). Scientific Reports, 13 (1): 13849 (2023)Machine Learning Techniques, , и . стр. 147--164. Springer International Publishing, Cham, (2022)Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning, , , , , , , , , и 1 other автор(ы). Frontiers in Pediatrics, (2022)In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network, , , , , , , , , и 1 other автор(ы). Cytometry Part A, (2022)