SA-FEM: Combined Feature Selection and Feature Fusion for Students’ Performance Prediction

Around the world, the COVID-19 pandemic has created significant obstacles for education, driving people to discover workarounds to maintain education. Because of the excellent benefit of cheap-cost information distribution brought about by the advent of the Internet, some offline instructional activ...

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Detalles Bibliográficos
Autores principales: Ye, Mingtao, Sheng, Xin, Lu, Yanjie, Zhang, Guodao, Chen, Huiling, Jiang, Bo, Zou, Senhao, Dai, Liting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694261/
https://www.ncbi.nlm.nih.gov/pubmed/36433433
http://dx.doi.org/10.3390/s22228838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694261/
https://www.ncbi.nlm.nih.gov/pubmed/36433433
http://dx.doi.org/10.3390/s22228838

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