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1 Ergebnisse
1
STAD-FEBTE, a shallow and supervised framework for time ser..:
, In:
2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
,
Harandi, M.A. Zakeri
;
Li, Chen
;
Schou, Casper
... - p. 840-846 , 2023
Link:
https://doi.org/10.1109/AIM46323.2023.10196288
RT T1 <cTitle>2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)</cTitle>: T1 <Title>STAD-FEBTE, a shallow and supervised framework for time series anomaly detection by automatic feature engineering, balancing, and tree-based ensembles: An industrial case study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10196288&Exemplar=1&LAN=DE A1 Harandi, M.A. Zakeri A1 Li, Chen A1 Schou, Casper A1 Villumsen, Sigurd L. A1 Bogh, Simon A1 Madsen, Ole YR 2023 SN 2159-6255 K1 Training K1 Time-frequency analysis K1 Service robots K1 Time series analysis K1 Robot sensing systems K1 Feature extraction K1 Time measurement K1 time series anomaly detection K1 automatic feature engineering K1 tree-based ensembles K1 robotic screwing SP 840 OP 846 LK http://dx.doi.org/https://doi.org/10.1109/AIM46323.2023.10196288 DO https://doi.org/10.1109/AIM46323.2023.10196288 SF ELIB - SuUB Bremen
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