Timothy Rafalski's research while affiliated with University of Nevada, Las Vegas and other places
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Publications (2)
Scientific computing has become an area of growing importance. Across fields such as biology, education, physics, or others, people are increasingly using scientific computing to model and understand the world around them. Despite the clear need, almost no systematic analysis has been conducted on how students in fields outside of computer science...
Network infections that are already in progress cause challenges to those officers trying to preserve those nodes not yet infected. Static solutions can take advantage of global knowledge of the network to produce quick and approximate answers for those members who should be vaccinated. In dynamic situations however, small changes can severely alte...
Citations
... Stefik's team is working to add data science functionality to their evidence-based programming language. As a first step toward understanding which elements of existing languages might be best to emulate, they ran an experiment comparing the three main R syntaxes (Rafalski et al. 2019). The study showed no statistically significant difference between any of the three syntaxes with regard to time to completion or number of errors. ...
... On the one hand, most of the research addressing the issue of resource optimal allocation on a large network (Lorch et al. 2018;Scaman et al. 2016;Wijayanto et al. 2019;Zhan et al. 2017;Zhang et al. 2015) does not focus on metapopulation networks, i.e. does not account for infection-related dynamics within each sub-population represented by a node of the network. Even more, works relying on mean-field theory (e.g. ...
