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1 Ergebnisse
1
Feature Selection Framework for XGBoost Based on Electroder..:
, In:
2019 IEEE International Workshop on Signal Processing Systems (SiPS)
,
Hsieh, Cheng-Ping
;
Chen, Yi-Ta
;
Beh, Win-Ken
. - p. 330-335 , 2019
Link:
https://doi.org/10.1109/SiPS47522.2019.9020321
RT T1
2019 IEEE International Workshop on Signal Processing Systems (SiPS)
: T1
Feature Selection Framework for XGBoost Based on Electrodermal Activity in Stress Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-9020321&Exemplar=1&LAN=DE A1 Hsieh, Cheng-Ping A1 Chen, Yi-Ta A1 Beh, Win-Ken A1 Wu, An-Yeu Andy YR 2019 SN 2374-7390 K1 Feature extraction K1 Stress K1 Entropy K1 Physiology K1 Frequency-domain analysis K1 Correlation K1 Time-domain analysis K1 Stress detection K1 feature selection K1 electrodermal activity(EDA) K1 signal processing K1 extreme gradient boosting SP 330 OP 335 LK http://dx.doi.org/https://doi.org/10.1109/SiPS47522.2019.9020321 DO https://doi.org/10.1109/SiPS47522.2019.9020321 SF ELIB - SuUB Bremen
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