| Autor: |
RAD, RADIN HAMIDI, FANI, HOSSEIN, BAGHERI, EBRAHIM, KARGAR, MEHDI, SRIVASTAVA, DIVESH, SZLICHTA, JAROSLAW |
| Zdroj: |
ACM Transactions on Information Systems; Jan2024, Vol. 42 Issue 1, p1-28, 28p |
| Abstrakt: |
The article focuses on skill-based team formation and proposes a variational Bayesian neural network architecture to create optimal teams by maximizing the coverage of required skills and the effectiveness of past collaborations. Topics include the challenges of team formation, the limitations of existing graph-based methods, and the introduction of a novel neural network approach for team formation. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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