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ENISI multiscale modeling of mucosal immune responses driven by high performance computing., , , , , , , и . BIBM, стр. 680-684. IEEE Computer Society, (2015)Supervised learning methods in modeling of CD4+ T cell heterogeneity., , , , , , и . BioData Min., (2015)Effective Social Network-Based Allocation of COVID-19 Vaccines., , , , , , , , , и 7 other автор(ы). KDD, стр. 4675-4683. ACM, (2022)Minimum Information About a Simulation Experiment (MIASE)., , , , , , , , , и 18 other автор(ы). PLoS Comput. Biol., (2011)ENISI MSM: A novel multi-scale modeling platform for computational immunology., , , , , , , и . BIBM, стр. 391-396. IEEE Computer Society, (2014)Systems Modeling of Molecular Mechanisms Controlling Cytokine-driven CD4+ T Cell Differentiation and Phenotype Plasticity., , , , , , , , , и 5 other автор(ы). PLoS Comput. Biol., (2013)High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols., , , , , , , , , и 10 other автор(ы). WSC, стр. 1-12. IEEE, (2021)Scalable Epidemiological Workflows to Support COVID-19 Planning and Response., , , , , , , , , и 2 other автор(ы). IPDPS, стр. 639-650. IEEE, (2021)ENISI SDE: A New Web-Based Tool for Modeling Stochastic Processes., , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 12 (2): 289-297 (2015)Active Sensing for Epidemic State Estimation Using ABM-Guided Machine Learning., , , , и . MABS, том 14558 из Lecture Notes in Computer Science, стр. 30-45. Springer, (2023)