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Optimizing Worst-Case Execution Times Using Mainstream Compilers., und . SCOPES, Seite 10-13. ACM, (2018)Approaches for Software Verification of An Emergency Recovery System for Micro Air Vehicles., , , und . SAFECOMP Workshops, Volume 9338 von Lecture Notes in Computer Science, Seite 369-385. Springer, (2015)Industrial perspective on reuse of safety artifacts in software product lines., , , , und . SPLC (A), Seite 23:1-23:12. ACM, (2019)Good Change and Bad Change: An Analysis Perspective on Software Evolution., , , , und . LNCS Trans. Found. Mastering Chang., (2016)Toponomics method for the automated quantification of membrane protein translocation., , , , , , und . BMC Bioinform., (2011)Machine Learning Techniques, , und . Seite 147--164. Springer International Publishing, Cham, (2022)Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning, , , , , , , , , und 1 andere Autor(en). Frontiers in Pediatrics, (2022)In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network, , , , , , , , , und 1 andere Autor(en). Cytometry Part A, (2022)Data-Driven Modeling of Pregnancy-Related Complications, , , , , , , , , und 7 andere Autor(en). Trends in Molecular Medicine, (2021)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions, , , , , , , , , und 1 andere Autor(en). Nature Machine Intelligence, 2 (10): 619--628 (2020)