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Data-Driven Modeling of Pregnancy-Related Complications, , , , , , , , , and 7 other author(s). Trends in Molecular Medicine, (2021)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)Toponomics method for the automated quantification of membrane protein translocation., , , , , , and . BMC Bioinform., (2011)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)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)Cross-species comparative analysis of single presynapses, , , , , , , , , and 1 other author(s). Scientific Reports, 13 (1): 13849 (2023)Extracting Semantics from Unconstrained Navigation on Wikipedia, , , and . Künstliche Intell., 30 (2): 163--168 (2016)Variability realization in UML/SysML models., and . SPLC (A), page 212-213. ACM, (2021)