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Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm
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...
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| Wydane w: | PLoS One |
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| Główni autorzy: | , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Public Library of Science
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7743940/ https://ncbi.nlm.nih.gov/pubmed/33326445 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0241696 |
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