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Using demographics toward efficient data classification in citizen science: a Bayesian approach
Public participation in scientific activities, often called citizen science, offers a possibility to collect and analyze an unprecedentedly large amount of data. However, diversity of volunteers poses a challenge to obtain accurate information when these data are aggregated. To overcome this problem...
Autores principales: | De Lellis, Pietro, Nakayama, Shinnosuke, Porfiri, Maurizio |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924415/ https://www.ncbi.nlm.nih.gov/pubmed/33816892 http://dx.doi.org/10.7717/peerj-cs.239 |
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