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1 Ergebnisse
1
Deep Learning-Enabled Human Resource Analytics in Predictin..:
, In:
2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
,
Deepthi, P.
;
Shaikh, Mohsin
;
Nargunde, Amarja Satish
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICONSTEM60960.2024.10568716
RT T1 <cTitle>2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)</cTitle>: T1 <Title>Deep Learning-Enabled Human Resource Analytics in Predicting Employee Performance</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10568716&Exemplar=1&LAN=DE A1 Deepthi, P. A1 Shaikh, Mohsin A1 Nargunde, Amarja Satish A1 Faldu, Rajesh A1 Goli, Gurunadham A1 L, Natrayan YR 2024 K1 Productivity K1 Ethics K1 Analytical models K1 Transfer learning K1 Predictive models K1 Mathematical models K1 Data models K1 Deep Learning K1 Feature Engineering K1 Employee Performance K1 Model Explainability K1 Human Capital Theory K1 Predictive Modeling K1 Data-driven Decision-Making K1 Bias Mitigation K1 Dynamic Modeling SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICONSTEM60960.2024.10568716 DO https://doi.org/10.1109/ICONSTEM60960.2024.10568716 SF ELIB - SuUB Bremen
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