Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring

Kamil Kmita, Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Katarzyna Kaczmarek-Majer. Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring. In IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2022, Padua, Italy, July 18-23, 2022. pages 1-8, IEEE, 2022. [doi]

@inproceedings{KmitaCCHK22,
  title = {Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring},
  author = {Kamil Kmita and Gabriella Casalino and Giovanna Castellano and Olgierd Hryniewicz and Katarzyna Kaczmarek-Majer},
  year = {2022},
  doi = {10.1109/FUZZ-IEEE55066.2022.9882759},
  url = {https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882759},
  researchr = {https://researchr.org/publication/KmitaCCHK22},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2022, Padua, Italy, July 18-23, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6710-0},
}