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1 Ergebnisse
1
Removal of Confounding Factors using GA-SVM Feature Adaptat..:
, In:
2023 IEEE Congress on Evolutionary Computation (CEC)
,
Gao, Yixiang
;
DeSouza, G. N.
;
Berardi, Mark
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/CEC53210.2023.10253983
RT T1
2023 IEEE Congress on Evolutionary Computation (CEC)
: T1
Removal of Confounding Factors using GA-SVM Feature Adaptation: Application on Detection of Vocal Fatigue thru sEMG Classification
UL https://suche.suub.uni-bremen.de/peid=ieee-10253983&Exemplar=1&LAN=DE A1 Gao, Yixiang A1 DeSouza, G. N. A1 Berardi, Mark A1 Dietrich, Maria YR 2023 K1 Measurement K1 Support vector machine classification K1 Machine learning K1 Predictive models K1 Fatigue K1 Feature extraction K1 Reliability K1 surface electromyography K1 Genetic Algorithm K1 Support Vector Machine K1 Confounding Factor SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CEC53210.2023.10253983 DO https://doi.org/10.1109/CEC53210.2023.10253983 SF ELIB - SuUB Bremen
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