Schlegel, P., Kniesburges, S., Dürr, S., Schützenberger, A., & Döllinger, M. (2020). Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings. Friedrich-Alexander-Universität Erlangen-Nürnberg.
Chicago-Zitierstil (17. Ausg.)Schlegel, Patrick, Stefan Kniesburges, Stephan Dürr, Anne Schützenberger, und Michael Döllinger. Machine Learning Based Identification of Relevant Parameters for Functional Voice Disorders Derived from Endoscopic High-speed Recordings. Erlangen ; Nürnberg: Friedrich-Alexander-Universität Erlangen-Nürnberg, 2020.
MLA-Zitierstil (9. Ausg.)Schlegel, Patrick, et al. Machine Learning Based Identification of Relevant Parameters for Functional Voice Disorders Derived from Endoscopic High-speed Recordings. Friedrich-Alexander-Universität Erlangen-Nürnberg, 2020.