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.

Concepts and techniques of machine safeguarding.

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The truth about "The voting machine deal".

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Description based on: 1913/1914.

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Cost-effectiveness of mass media communications as related to highway safety.

National Highway Safety Bureau, Washington, D.C.

Automatic tread gaging machine. Technical report.

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