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AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.

P. Bhattacharya, D. Machi, J. Chen, S. Hoops, B. Lewis, H. Mortveit, S. Venkatramanan, M. Wilson, A. Marathe, P. Porebski, B. Klahn, J. Outten, A. Vullikanti, D. Xie, A. Adiga, S. Brown, C. Barrett, and M. Marathe. IEEE BigData, page 1566-1574. IEEE, (2021)

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Stefan Hoops

Wiklef Hoops

Michael Hoops

Erich Hoops

Matthias Hoops

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Supervised learning methods in modeling of CD4+ T cell heterogeneity.P. Lu, V. Abedi, Y. Mei, R. Hontecillas, S. Hoops, A. Carbo, and J. Bassaganya-Riera. BioData Min., (2015)Effective Social Network-Based Allocation of COVID-19 Vaccines.J. Chen, S. Hoops, A. Marathe, H. Mortveit, B. Lewis, S. Venkatramanan, A. Haddadan, P. Bhattacharya, A. Adiga, A. Vullikanti and 7 other author(s). KDD, page 4675-4683. ACM, (2022)ENISI multiscale modeling of mucosal immune responses driven by high performance computing.V. Abedi, R. Hontecillas, S. Hoops, N. Liles, A. Carbo, P. Lu, C. Philipson, and J. Bassaganya-Riera. BIBM, page 680-684. IEEE Computer Society, (2015)Systems Modeling of Molecular Mechanisms Controlling Cytokine-driven CD4+ T Cell Differentiation and Phenotype Plasticity.A. Carbo, R. Hontecillas, B. Kronsteiner, M. Viladomiu, M. Pedragosa, P. Lu, C. Philipson, S. Hoops, M. Marathe, S. Eubank and 5 other author(s). PLoS Comput. Biol., (2013)ENISI MSM: A novel multi-scale modeling platform for computational immunology.Y. Mei, A. Carbo, R. Hontecillas, S. Hoops, N. Liles, P. Lu, C. Philipson, and J. Bassaganya-Riera. BIBM, page 391-396. IEEE Computer Society, (2014)ENISI SDE: A New Web-Based Tool for Modeling Stochastic Processes.Y. Mei, A. Carbo, S. Hoops, R. Hontecillas, and J. Bassaganya-Riera. IEEE ACM Trans. Comput. Biol. Bioinform., 12 (2): 289-297 (2015)High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols.S. Hoops, J. Chen, A. Adiga, B. Lewis, H. Mortveit, H. Baek, M. Wilson, D. Xie, S. Swarup, S. Venkatramanan and 10 other author(s). WSC, page 1-12. IEEE, (2021)Scalable Epidemiological Workflows to Support COVID-19 Planning and Response.D. Machi, P. Bhattacharya, S. Hoops, J. Chen, H. Mortveit, S. Venkatramanan, B. Lewis, M. Wilson, A. Fadikar, T. Maiden and 2 other author(s). IPDPS, page 639-650. IEEE, (2021)BioSimulators: a central registry of simulation engines and services for recommending specific tools.B. Shaikh, L. Smith, D. Vasilescu, G. Marupilla, M. Wilson, E. Agmon, H. Agnew, S. Andrews, A. Anwar, M. Beber and 61 other author(s). CoRR, (2022)BioSimulators: a central registry of simulation engines and services for recommending specific tools.B. Shaikh, L. Smith, D. Vasilescu, G. Marupilla, M. Wilson, E. Agmon, H. Agnew, S. Andrews, A. Anwar, M. Beber and 65 other author(s). Nucleic Acids Res., 50 (W1): 108-114 (2022)

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Disambiguation of "Hoops, Stefan"

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AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.

Please choose a person to relate this publication to

Stefan Hoops

Wiklef Hoops

Michael Hoops

Erich Hoops

Matthias Hoops

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hoops, Stefan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.

Please choose a person to relate this publication to

Stefan Hoops

Wiklef Hoops

Michael Hoops

Erich Hoops

Matthias Hoops

Other publications of authors with the same name

Disambiguation

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URL
DOI
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AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.