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Optimizing Worst-Case Execution Times Using Mainstream Compilers., and . SCOPES, page 10-13. ACM, (2018)Approaches for Software Verification of An Emergency Recovery System for Micro Air Vehicles., , , and . SAFECOMP Workshops, volume 9338 of Lecture Notes in Computer Science, page 369-385. Springer, (2015)Industrial perspective on reuse of safety artifacts in software product lines., , , , and . SPLC (A), page 23:1-23:12. ACM, (2019)Machine Learning Techniques, , and . page 147--164. Springer International Publishing, Cham, (2022)Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning, , , , , , , , , and 1 other author(s). Frontiers in Pediatrics, (2022)In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network, , , , , , , , , and 1 other author(s). Cytometry Part A, (2022)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions, , , , , , , , , and 1 other author(s). Nature Machine Intelligence, 2 (10): 619--628 (2020)Extracting Semantics from Unconstrained Navigation on Wikipedia, , , and . Künstliche Intell., 30 (2): 163--168 (2016)Data-Driven Modeling of Pregnancy-Related Complications, , , , , , , , , and 7 other author(s). Trends in Molecular Medicine, (2021)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity, , , , , , , , , and 1 other author(s). npj Digital Medicine, 6 (1): 171 (2023)