Autor(en)
Kabra, Mayank; Robie, Alice A; Rivera-Alba, Marta; Branson, Steven; Branson, Kristin
Titel
JAABA: interactive machine learning for automatic annotation of animal behavior
Teil von
  • Nature methods, 2013-01-01, Vol.10 (1), p.64-U87
Ort / Verlag
LONDON: NATURE PUBLISHING GROUP
Links zum Volltext
Quelle
Web of Science
Beschreibungen
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.

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