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Publications – Dr. Ryan J. Urbanowicz
} Abstract: Learning classifier systems (LCSs) are rule-based evolutionary algorithms uniquely suited to classification and data mining in complex, multi-factorial, and heterogeneous problems. The fit...
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About – Dr. Ryan J. Urbanowicz
Postdoctoral Research Fellow, Consultant, Education: M.Eng in Biological Engineering. Cornell University (2004-2005) B.S. in Biological and Environmental Engineering. Cornell University (2000-2004) ...
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Videos – Dr. Ryan J. Urbanowicz
I am very pleased to announce that my first educational video titled, ‘Learning Classifier Systems in a Nutshell’ is now available on YouTube in HD, and with closed captions. This video takes viewer...
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Teaching – Dr. Ryan J. Urbanowicz
Teaching Experience Course Developer and Director for “Foundations of Artificial Intelligence in Medicine” (BMIN 520) at UPenn. (2019-2021). Click HERE to view recorded lecture series. Created Educati...
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Research – Dr. Ryan J. Urbanowicz
Research Interests: Common human disease research has evolved into a largely complex and interdisciplinary pursuit. Modern epidemiological challenges such as the characterization of complex systems,...
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ExSTraCS – Dr. Ryan J. Urbanowicz
Following along with the figure given above, ExSTraCS begins with a data pre-processing stage (A). The algorithm takes as input, a configuration file and a finite training dataset that includes att...