Publication
JAABA: interactive machine learning for automatic annotation of animal behavior
dc.contributor.author | Kabra, Mayank | |
dc.contributor.author | Robie, Alice A | |
dc.contributor.author | Rivera-Alba, Marta | |
dc.contributor.author | Branson, Steven | |
dc.contributor.author | Branson, Kristin | |
dc.date.accessioned | 2016-05-12T10:43:51Z | |
dc.date.available | 2016-05-12T10:43:51Z | |
dc.date.issued | 2013-01 | |
dc.description.abstract | 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. | pt_PT |
dc.identifier.citation | Kabra, M., Robie, A. A., Rivera-Alba, M., Branson, S., Branson, K. (2013). JAABA: interactive machine learning for automatic annotation of animal behavior. Nat Meth, 10(1), 64–67. | pt_PT |
dc.identifier.doi | 10.1038/nmeth.2281 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.7/601 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Nature Publishing Group | pt_PT |
dc.relation | Não existe menção de financiadores nem de patrocionadores no documento. | pt_PT |
dc.relation.publisherversion | http://www.nature.com/nmeth/journal/v10/n1/full/nmeth.2281.html | pt_PT |
dc.subject | Behavioural methods | pt_PT |
dc.subject | Experimental organisms | pt_PT |
dc.subject | Machine learning | pt_PT |
dc.title | JAABA: interactive machine learning for automatic annotation of animal behavior | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 67 | pt_PT |
oaire.citation.issue | 1 | pt_PT |
oaire.citation.startPage | 64 | pt_PT |
oaire.citation.title | Nature Methods | pt_PT |
oaire.citation.volume | 10 | pt_PT |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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