JAABA: interactive machine learning for automatic annotation of animal behavior

We present a machine learning-based system for automatically computing interpretable, quantitative measures of animal behavior. Through our interactive system, users encode their intuition about behavior by annotating a small set of video frames. These manual labels are converted into classifiers that can automatically annotate behaviors in screen-scale data sets. Our general-purpose system can create a variety of accurate individual and social behavior classifiers for different organisms, including mice and adult and larval Drosophila.

The development of UTCS/NETSIM/ICG: an integrated urban traffic control system - network simulation - interactive computer graphics program. Final report.

Transportation Department, Office of University Research, Washington, D.C.

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Mode of access: Internet.

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"Grant no. R803244."

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National Highway Traffic Safety Administration, Washington, D.C.

OPTREG - an interactive computer program for optimization and regression. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Conceptual plan for an interactive highway safety design model. Final report.

Federal Highway Administration, Office of Safety and Traffic Operations Research and Development, McLean Va.

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Automatic curve fitting for interactive display /

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Originally presented as the author's thesis (M.A.), University of Illinois at Urbana-Champaign.