Open Access
| Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
|---|---|---|
| Article Number | 07001 | |
| Number of page(s) | 6 | |
| Section | Energy Engineering and Renewable Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202346007001 | |
| Published online | 11 December 2023 | |
- A. Ovsyannikova, J. Domashova, Identification of public procurement contracts with a high risk of non-performance based on neural networks, Procedia Computer Science 169 (2020). [Google Scholar]
- C. Guccio, P. Giacomo, R. Ilde, Determinants of adaptation costs in procurement: an empirical estimation on Italian public works contracts, Applied Economics 44 (15) (2012) [Google Scholar]
- K. Bloomfield, Systemic risk in major public contracts. International Journal of forecasting 35(2) (2019). [Google Scholar]
- S.A. Korchagin, E.P. Dogadina, V.V. Melentiev, P.V. Nikitin, D.V. Serdechnyi, Decision Support System for Issuing Bank Guarantees Based on Contract Execution Forecasting Using Machine Learning Methods and Parsing Technologies, Modern High-Tech Technologies 7 41–47 (2023) [Google Scholar]
- L. Grinsztajn, O. Edouard, V. Gaël, Why do tree-based models still outperform deep learning on typical tabular data?, Advances in Neural Information Processing Systems 35 (2022). [Google Scholar]
- S.M. Lundberg, S.I. Lee, A unified approach to interpreting model predictions, Advances in Neural Information Processing Systems 30 (2017). [Google Scholar]
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