Semi-supervised Nonnegative Matrix Factorization for Document Classification

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard. Semi-supervised Nonnegative Matrix Factorization for Document Classification. In 55th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2021, Pacific Grove, CA, USA, October 31 - November 3, 2021. pages 1355-1360, IEEE, 2021. [doi]

@inproceedings{HaddockKLKGSWMM21,
  title = {Semi-supervised Nonnegative Matrix Factorization for Document Classification},
  author = {Jamie Haddock and Lara Kassab and Sixian Li and Alona Kryshchenko and Rachel Grotheer and Elena Sizikova and Chuntian Wang and Thomas Merkh and R. W. M. A. Madushani and Miju Ahn and Deanna Needell and Kathryn Leonard},
  year = {2021},
  doi = {10.1109/IEEECONF53345.2021.9723109},
  url = {https://doi.org/10.1109/IEEECONF53345.2021.9723109},
  researchr = {https://researchr.org/publication/HaddockKLKGSWMM21},
  cites = {0},
  citedby = {0},
  pages = {1355-1360},
  booktitle = {55th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2021, Pacific Grove, CA, USA, October 31 - November 3, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-5828-3},
}