Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study

Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi 0003, Alexandra I. Cristea. Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study. In Ido Roll, Danielle S. McNamara, Sergey A. Sosnovsky, Rose Luckin, Vania Dimitrova, editors, Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II. Volume 12749 of Lecture Notes in Computer Science, pages 139-144, Springer, 2021. [doi]

@inproceedings{DrousiotisP0C21,
  title = {Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study},
  author = {Efthyvoulos Drousiotis and Panagiotis Pentaliotis and Lei Shi 0003 and Alexandra I. Cristea},
  year = {2021},
  doi = {10.1007/978-3-030-78270-2_25},
  url = {https://doi.org/10.1007/978-3-030-78270-2_25},
  researchr = {https://researchr.org/publication/DrousiotisP0C21},
  cites = {0},
  citedby = {0},
  pages = {139-144},
  booktitle = {Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II},
  editor = {Ido Roll and Danielle S. McNamara and Sergey A. Sosnovsky and Rose Luckin and Vania Dimitrova},
  volume = {12749},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-78270-2},
}