The Potential for the Use of Deep Neural Networks in e-Learning Student Evaluation with New Data Augmentation Method

Andrzej Cader. The Potential for the Use of Deep Neural Networks in e-Learning Student Evaluation with New Data Augmentation Method. In Ig Ibert Bittencourt, Mutlu Cukurova, Kasia Muldner, Rose Luckin, Eva Millán, editors, Artificial Intelligence in Education - 21st International Conference, AIED 2020, Ifrane, Morocco, July 6-10, 2020, Proceedings, Part II. Volume 12164 of Lecture Notes in Computer Science, pages 37-42, Springer, 2020. [doi]

@inproceedings{Cader20,
  title = {The Potential for the Use of Deep Neural Networks in e-Learning Student Evaluation with New Data Augmentation Method},
  author = {Andrzej Cader},
  year = {2020},
  doi = {10.1007/978-3-030-52240-7_7},
  url = {https://doi.org/10.1007/978-3-030-52240-7_7},
  researchr = {https://researchr.org/publication/Cader20},
  cites = {0},
  citedby = {0},
  pages = {37-42},
  booktitle = {Artificial Intelligence in Education - 21st International Conference, AIED 2020, Ifrane, Morocco, July 6-10, 2020, Proceedings, Part II},
  editor = {Ig Ibert Bittencourt and Mutlu Cukurova and Kasia Muldner and Rose Luckin and Eva Millán},
  volume = {12164},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-52240-7},
}