Virtual data augmentation method for reaction prediction

To improve the performance of data-driven reaction prediction models, we propose an intelligent strategy for predicting reaction products using available data and increasing the sample size using fake data augmentation. In this research, fake data sets were created and augmented with raw data for co...

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Detalles Bibliográficos
Autores principales: Wu, Xinyi, Zhang, Yun, Yu, Jiahui, Zhang, Chengyun, Qiao, Haoran, Wu, Yejian, Wang, Xinqiao, Wu, Zhipeng, Duan, Hongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556613/
https://www.ncbi.nlm.nih.gov/pubmed/36224331
http://dx.doi.org/10.1038/s41598-022-21524-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556613/
https://www.ncbi.nlm.nih.gov/pubmed/36224331
http://dx.doi.org/10.1038/s41598-022-21524-6

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