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Implicit data crimes: Machine learning bias arising from misuse of public data
Although open databases are an important resource in the current deep learning (DL) era, they are sometimes used “off label”: Data published for one task are used to train algorithms for a different one. This work aims to highlight that this common practice may lead to biased, overly optimistic resu...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060447/ https://www.ncbi.nlm.nih.gov/pubmed/35312366 http://dx.doi.org/10.1073/pnas.2117203119 |