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Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction
Personnel performance is important for the high-technology industry to ensure its core competitive advantages are present. Therefore, predicting personnel performance is an important research area in human resource management (HRM). In this paper, to improve prediction performance, we propose a nove...
Tallennettuna:
| Julkaisussa: | Entropy (Basel) |
|---|---|
| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514572/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21121227 |
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