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1
Deep Learning End-to-End Approach for the Prediction of Tin..:
, In:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Allgaier, Johannes
;
Neff, Patrick
;
Schlee, Winfried
.. - p. 816-819 , 2021
Link:
https://doi.org/10.1109/EMBC46164.2021.9629964
RT T1 <cTitle>2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9629964&Exemplar=1&LAN=DE A1 Allgaier, Johannes A1 Neff, Patrick A1 Schlee, Winfried A1 Schoisswohl, Stefan A1 Pryss, Rudiger YR 2021 SN 2694-0604 K1 Deep learning K1 Soft sensors K1 Noise reduction K1 Electroencephalography K1 Biology K1 Pattern recognition K1 Biological neural networks SP 816 OP 819 LK http://dx.doi.org/https://doi.org/10.1109/EMBC46164.2021.9629964 DO https://doi.org/10.1109/EMBC46164.2021.9629964 SF ELIB - SuUB Bremen
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