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...
| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Public Library of Science (PLoS)
2020-01-01
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| Series: | PLoS ONE |
| Acceso en liña: | https://doi.org/10.1371/journal.pone.0241696 |