|
|
|
Publications in Math-Net.Ru |
Citations |
|
2022 |
| 1. |
M. Gorpinich, O. Yu. Bakhteev, V. V. Strijov, “Gradient methods for optimizing metaparameters in the knowledge distillation problem”, Avtomat. i Telemekh., 2022, no. 10, 67–79   ; Autom. Remote Control, 83:10 (2022), 1544–1554 |
|
2021 |
| 2. |
O. S. Grebenkova, O. Yu. Bakhteev, V. V. Strijov, “Variational deep learning model optimization with complexity control”, Inform. Primen., 15:1 (2021), 42–49 |
| 3. |
R. V. Kuznetsova, O. Yu. Bakhteev, Yu. V. Chekhovich, “Methods of cross-lingual text reuse detection in large textual collections”, Inform. Primen., 15:1 (2021), 30–41 |
3
|
|
2020 |
| 4. |
A. V. Grabovoy, O. Yu. Bakhteev, V. V. Strijov, “Ordering the set of neural network parameters”, Inform. Primen., 14:2 (2020), 58–65 |
|
2019 |
| 5. |
A. V. Grabovoy, O. Yu. Bakhteev, V. V. Strijov, “Estimation of the relevance of the neural network parameters”, Inform. Primen., 13:2 (2019), 62–70  |
1
|
|
2018 |
| 6. |
O. Yu. Bakhteev, V. V. Strijov, “Deep learning model selection of suboptimal complexity”, Avtomat. i Telemekh., 2018, no. 8, 129–147 ; Autom. Remote Control, 79:8 (2018), 1474–1488   |
3
|
| 7. |
A. N. Smerdov, O. Yu. Bakhteev, V. V. Strijov, “Optimal recurrent neural network model in paraphrase detection”, Inform. Primen., 12:4 (2018), 63–69 |
1
|
| 8. |
A. V. Ogaltsov, O. Y. Bakhteev, “Automatic metadata extraction from scientific PDF documents”, Inform. Primen., 12:2 (2018), 75–82 |
2
|
|
2016 |
| 9. |
O. Yu. Bakhteev, M. S. Popova, V. V. Strijov, “Systems and means of deep learning for classification problems”, Sistemy i Sredstva Inform., 26:2 (2016), 4–22 |
|
| Organisations |
|
| |
|
|
Contact us: