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1 Ergebnisse
1
Learning Based Clinical Diagnosis Framework for Inconsisten..:
, In:
2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)
,
Jung, Jae-Wook
;
Jeon, San-Eun
;
Hong, Jun-Pyo
... - p. 489-493 , 2022
Link:
https://doi.org/10.1109/ICUFN55119.2022.9829699
RT T1 <cTitle>2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)</cTitle>: T1 <Title>Learning Based Clinical Diagnosis Framework for Inconsistently and Partially Labeled Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9829699&Exemplar=1&LAN=DE A1 Jung, Jae-Wook A1 Jeon, San-Eun A1 Hong, Jun-Pyo A1 Kim, Ju-Hyeon A1 Bae, Yeong-Kyun A1 Lee, Jae-Hyun YR 2022 SN 2165-8536 K1 Training K1 Deep learning K1 Adaptation models K1 Wearable computers K1 Data models K1 Clinical diagnosis K1 Task analysis K1 Meta-learning K1 clinical diagnosis K1 inconsistently and partially labeled dataset K1 squat exercise K1 posterior pelvic tilt SP 489 OP 493 LK http://dx.doi.org/https://doi.org/10.1109/ICUFN55119.2022.9829699 DO https://doi.org/10.1109/ICUFN55119.2022.9829699 SF ELIB - SuUB Bremen
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