Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data

Zhao Ren, Jing Han 0010, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller. Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. In Patty Kostkova, Caroline Wood, Arnold Bosman, Floriana Grasso, Michael Edelstein, editors, Proceedings of the 9th International Conference on Digital Public Health, PDH 2019, Marseille, France, November 20-23, 2019. pages 79-83, ACM, 2019. [doi]

@inproceedings{Ren0CKPS19,
  title = {Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data},
  author = {Zhao Ren and Jing Han 0010 and Nicholas Cummins and Qiuqiang Kong and Mark D. Plumbley and Björn W. Schuller},
  year = {2019},
  doi = {10.1145/3357729.3357743},
  url = {https://doi.org/10.1145/3357729.3357743},
  researchr = {https://researchr.org/publication/Ren0CKPS19},
  cites = {0},
  citedby = {0},
  pages = {79-83},
  booktitle = {Proceedings of the 9th International Conference on Digital Public Health, PDH 2019, Marseille, France, November 20-23, 2019},
  editor = {Patty Kostkova and Caroline Wood and Arnold Bosman and Floriana Grasso and Michael Edelstein},
  publisher = {ACM},
  isbn = {978-1-4503-7208-4},
}