Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database

Aggeliki Vlachostergiou, Athanasios Tagaris, Andreas Stafylopatis, Stefanos D. Kollias. Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database. In 2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018. pages 2047-2051, IEEE, 2018. [doi]

@inproceedings{VlachostergiouT18,
  title = {Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database},
  author = {Aggeliki Vlachostergiou and Athanasios Tagaris and Andreas Stafylopatis and Stefanos D. Kollias},
  year = {2018},
  doi = {10.1109/ICIP.2018.8451276},
  url = {https://doi.org/10.1109/ICIP.2018.8451276},
  researchr = {https://researchr.org/publication/VlachostergiouT18},
  cites = {0},
  citedby = {0},
  pages = {2047-2051},
  booktitle = {2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018},
  publisher = {IEEE},
  isbn = {978-1-4799-7061-2},
}