Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory

Teodor Fredriksson, David Issa Mattos, Jan Bosch, Helena Holmström Olsson. Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory. In Maria Teresa Baldassarre, Giuseppe Scanniello, Amund Skavhaug, editors, 47th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2021, Palermo, Italy, September 1-3, 2021. pages 326-333, IEEE, 2021. [doi]

@inproceedings{FredrikssonMBO21-0,
  title = {Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory},
  author = {Teodor Fredriksson and David Issa Mattos and Jan Bosch and Helena Holmström Olsson},
  year = {2021},
  doi = {10.1109/SEAA53835.2021.00049},
  url = {https://doi.org/10.1109/SEAA53835.2021.00049},
  researchr = {https://researchr.org/publication/FredrikssonMBO21-0},
  cites = {0},
  citedby = {0},
  pages = {326-333},
  booktitle = {47th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2021, Palermo, Italy, September 1-3, 2021},
  editor = {Maria Teresa Baldassarre and Giuseppe Scanniello and Amund Skavhaug},
  publisher = {IEEE},
  isbn = {978-1-6654-2705-0},
}