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Popular pages

  • 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...

  • 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) ...

  • 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...

  • 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...

  • 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,...

  • 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...

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