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1 Ergebnisse
1
Hierarchical Attention Models for Predicting Detailed Emplo..:
, In:
2024 International Conference on Science Technology Engineering and Management (ICSTEM)
,
Pathi, Barani Kumari
;
Kumar, A. Suresh
;
Devi, K.K.
... - p. 1-7 , 2024
Link:
https://doi.org/10.1109/ICSTEM61137.2024.10560759
RT T1 <cTitle>2024 International Conference on Science Technology Engineering and Management (ICSTEM)</cTitle>: T1 <Title>Hierarchical Attention Models for Predicting Detailed Employee Performance Trends</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10560759&Exemplar=1&LAN=DE A1 Pathi, Barani Kumari A1 Kumar, A. Suresh A1 Devi, K.K. A1 Kavya, C. A1 Janaki, L. A1 Sudharson, K. YR 2024 K1 Analytical models K1 Accuracy K1 Decision making K1 Organizations K1 Predictive models K1 Market research K1 Planning K1 Employee performance forecasting K1 Temporal attention mechanism K1 Hierarchical structure K1 Time series analysis K1 Machine learning SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICSTEM61137.2024.10560759 DO https://doi.org/10.1109/ICSTEM61137.2024.10560759 SF ELIB - SuUB Bremen
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