- Author
- Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)
- Organization
Downloads
-
(...).pdf
- full text
- |
- UGent only
- |
- |
- 1.30 MB
-
(...).pdf
- full text
- |
- UGent only
- |
- |
- 61.07 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8619955
- MLA
- Van Steenkiste, Tom, et al. Transferability of Deep Learning Based Sleep Apnea Detection Models. IEEE, 2019, p. 1.
- APA
- Van Steenkiste, T., Deschrijver, D., & Dhaene, T. (2019). Transferability of deep learning based sleep apnea detection models. 1. IEEE.
- Chicago author-date
- Van Steenkiste, Tom, Dirk Deschrijver, and Tom Dhaene. 2019. “Transferability of Deep Learning Based Sleep Apnea Detection Models.” In , 1. IEEE.
- Chicago author-date (all authors)
- Van Steenkiste, Tom, Dirk Deschrijver, and Tom Dhaene. 2019. “Transferability of Deep Learning Based Sleep Apnea Detection Models.” In , 1. IEEE.
- Vancouver
- 1.Van Steenkiste T, Deschrijver D, Dhaene T. Transferability of deep learning based sleep apnea detection models. In IEEE; 2019. p. 1.
- IEEE
- [1]T. Van Steenkiste, D. Deschrijver, and T. Dhaene, “Transferability of deep learning based sleep apnea detection models,” presented at the BHI2019, the IEEE-EMBS International Conference on Biomedical and Health Informatics, Chicago, USA, 2019, p. 1.
@inproceedings{8619955, author = {{Van Steenkiste, Tom and Deschrijver, Dirk and Dhaene, Tom}}, language = {{und}}, location = {{Chicago, USA}}, publisher = {{IEEE}}, title = {{Transferability of deep learning based sleep apnea detection models}}, year = {{2019}}, }