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Automated annotation of functional imaging experiments via multi-label classification
Identifying the experimental methods in human neuroimaging papers is important for grouping meaningfully similar experiments for meta-analyses. Currently, this can only be done by human readers. We present the performance of common machine learning (text mining) methods applied to the problem of aut...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2013
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3864256/ https://ncbi.nlm.nih.gov/pubmed/24409112 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2013.00240 |
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