Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection

M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner. Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. In M. Arif Wani, Feng Luo 0001, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi, editors, 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. pages 302-307, IEEE, 2020. [doi]

@inproceedings{TlachacSTPR20,
  title = {Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection},
  author = {M. L. Tlachac and Adam Sargent and Ermal Toto and Randy C. Paffenroth and Elke A. Rundensteiner},
  year = {2020},
  doi = {10.1109/ICMLA51294.2020.00056},
  url = {https://doi.org/10.1109/ICMLA51294.2020.00056},
  researchr = {https://researchr.org/publication/TlachacSTPR20},
  cites = {0},
  citedby = {0},
  pages = {302-307},
  booktitle = {19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020},
  editor = {M. Arif Wani and Feng Luo 0001 and Xiaolin Andy Li and Dejing Dou and Francesco Bonchi},
  publisher = {IEEE},
  isbn = {978-1-7281-8470-8},
}