BibTeX record conf/tale/LiuN21

download as .bib file

@inproceedings{DBLP:conf/tale/LiuN21,
  author       = {Xingshen Liu and
                  Lei Niu},
  title        = {A Student Performance Predication Approach Based on Multi-Agent System
                  and Deep Learning},
  booktitle    = {2021 {IEEE} International Conference on Engineering, Technology {\&}
                  Education (TALE), Wuhan, Hubei Province, China, December 5-8, 2021},
  pages        = {681--688},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/TALE52509.2021.9678811},
  doi          = {10.1109/TALE52509.2021.9678811},
  timestamp    = {Mon, 31 Jan 2022 11:22:56 +0100},
  biburl       = {https://dblp.org/rec/conf/tale/LiuN21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.