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Publications in Math-Net.Ru |
Citations |
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2023 |
| 1. |
A. V. Konstantinov, L. V. Utkin, “A new computationally simple approach for implementing neural networks with output hard constraints”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 80–90   ; Dokl. Math., 108:suppl. 2 (2023), S233–S241 |
| 2. |
A. V. Konstantinov, L. V. Utkin, S. R. Kirpichenko, “Flexible deep forest classifier with multi-head attention”, Computing, Telecommunication and Control, 16:2 (2023), 7–16 |
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2022 |
| 3. |
L. Utkin, A. Konstantinov, “Random survival forests incorporated by the Nadaraya-Watson regression”, Informatics and Automation, 21:5 (2022), 851–880 |
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2021 |
| 4. |
A. V. Konstantinov, “Deep gradient boosting for regression problems”, Computing, Telecommunication and Control, 14:3 (2021), 7–19 |
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2024 |
| 5. |
A. V. Konstantinov, “Predictive models and dynamics of estimates of applied tasks characteristics using machine learning methods”, Computing, Telecommunication and Control, 17:3 (2024), 54–60 |
| 6. |
L. V. Utkin, A. V. Konstantinov, D. Yu. Eremenko, V. S. Zaborovsky, V. Muliukha, “Interpretation methods for machine learning models in the framework of survival analysis with censored data: a brief overview”, Computing, Telecommunication and Control, 17:3 (2024), 22–31 |
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