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Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervi...

Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2470608241

Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm

About this item

Full title

Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm

Publisher

United States: Public Library of Science

Journal title

PloS one, 2020-12, Vol.15 (12), p.e0241696

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Automated quantification of behavior is increasingly prevalent in neuroscience research. Human judgments can influence machine-learning-based behavior classification at multiple steps in the process, for both supervised and unsupervised approaches. Such steps include the design of the algorithm for machine learning, the methods used for animal trac...

Alternative Titles

Full title

Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2470608241

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2470608241

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0241696

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