To cite EMEWS, please use:
Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Carmine Spagnuolo.
From Desktop to Large-Scale Model Exploration with Swift/T.
Proceedings of the 2016 Winter Simulation Conference,
2016.
Available at: https://www.informs-sim.org/wsc16papers/019.pdf
Jonathan Ozik, Nicholson Collier, and Justin M. Wozniak. Many resident task computing in support of dynamic ensemble computations. Proc. Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) @ SC, 2015.
Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Charles Macal, Chase Cockrell, Melinda Stack, and Gary An. High performance model exploration of mutation patterns in an agent-based model of colorectal cancer Proc. Computational Approaches for Cancer @ SC, 2016. (Best workshop paper.)
Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson Collier, John Bauer, Fangfang Xia, Thomas Brettin, Rick Stevens,
Jamaludin Mohd-Yusof, Cristina Garcia Cardona, Brian Van Essen, and Matthew Baughman.
CANDLE/Supervisor: A Workflow Framework for Machine Learning Applied to Cancer Research
BMC Bioinformatics 19 (18): 491. https://doi.org/10.1186/s12859-018-2508-4, 2018.
Available at: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2508-4
Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Charles Macal, Chase Cockrell,
Samuel H. Friedman, Ahmadreza Ghaffarizadeh, Randy Heiland, Gary An, and Paul Macklin.
High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow
BMC Bioinformatics 19 (18): 483. https://doi.org/10.1186/s12859-018-2510-x, 2018.
Available at: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2510-x
Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Charles Macal, and Gary An.
Extreme-Scale Dynamic Exploration of a Distributed Agent-Based Model With the EMEWS Framework
IEEE Transactions on Computational Social Systems, 2018.
Available at: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451972&isnumber=6780646
Jonathan Ozik, Nicholson Collier, Randy Heiland, Gary An, and Paul Macklin.
Learning-Accelerated Discovery of Immune-Tumour Interactions
Molecular Systems Design & Engineering 4 (4): 747–60. https://doi.org/10.1039/C9ME00036D. 2019.
Available at: https://pubs.rsc.org/en/content/articlelanding/2019/ME/C9ME00036D
Carolyn Rutter, Jonathan Ozik, Maria DeYoreo, and Nicholson Collier.
Microsimulation model calibration using incremental mixture approximate Bayesian computation.
The Annals of Applied Statistics 13 (4): 2189–2212. https://doi.org/10.1214/19-AOAS1279. 2019.
Available at: https://arxiv.org/abs/1804.02090