JAABA: interactive machine learning for automatic annotation of animal behavior

378 indexed citations

Abstract

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This paper, published in 2012, received 378 indexed citations. Written by Mayank Kabra, Alice A. Robie, Marta Rivera-Alba and Kristin Branson covering the research area of Genetics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (134 citations), Ecology, Evolution, Behavior and Systematics (116 citations) and Genetics (104 citations). Published in Nature Methods.

Countries where authors are citing JAABA: interactive machine learning for automatic annotation of animal behavior

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This map shows the geographic impact of JAABA: interactive machine learning for automatic annotation of animal behavior. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by JAABA: interactive machine learning for automatic annotation of animal behavior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JAABA: interactive machine learning for automatic annotation of animal behavior more than expected).

Fields of papers citing JAABA: interactive machine learning for automatic annotation of animal behavior

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of JAABA: interactive machine learning for automatic annotation of animal behavior. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the JAABA: interactive machine learning for automatic annotation of animal behavior.

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This paper is also available at doi.org/10.1038/nmeth.2281.

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