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Digital Stereotypes in HMI—The Influence of Feature Quantity Distribution in Deep Learning Models Training
This paper proposes a concept of Digital Stereotypes, observed during research on quantitative overrepresentation of one class over others, and its impact on the results of the training of Deep Learning models. The real-life observed data classes are rarely of the same size, and the intuition of pre...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500798/ https://www.ncbi.nlm.nih.gov/pubmed/36146087 http://dx.doi.org/10.3390/s22186739 |