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Converting tabular data into images for deep learning with convolutional neural networks

Convolutional neural networks (CNNs) have been successfully used in many applications where important information about data is embedded in the order of features, such as speech and imaging. However, most tabular data do not assume a spatial relationship between features, and thus are unsuitable for...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Zhu, Yitan, Brettin, Thomas, Xia, Fangfang, Partin, Alexander, Shukla, Maulik, Yoo, Hyunseung, Evrard, Yvonne A., Doroshow, James H., Stevens, Rick L.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8166880/
https://ncbi.nlm.nih.gov/pubmed/34059739
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-90923-y
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