| Data-driven model for the identification of the rock type at a drilling bit N Klyuchnikov, A Zaytsev, A Gruzdev, G Ovchinnikov, K Antipova, ... Journal of Petroleum science and Engineering 178, 506-516, 2019 | 101 | 2019 |
| Application of machine learning to accidents detection at directional drilling E Gurina, N Klyuchnikov, A Zaytsev, E Romanenkova, K Antipova, I Simon, ... Journal of Petroleum Science and Engineering 184, 106519, 2020 | 96 | 2020 |
| Challenges in data-driven geospatial modeling for environmental research and practice D Koldasbayeva, P Tregubova, M Gasanov, A Zaytsev, A Petrovskaia, ... Nature Communications 15 (1), 10700, 2024 | 79 | 2024 |
| Adversarial attacks on deep models for financial transaction records I Fursov, M Morozov, N Kaploukhaya, E Kovtun, R Rivera-Castro, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 70 | 2021 |
| Recurrent convolutional neural networks help to predict location of earthquakes R Kail, E Burnaev, A Zaytsev IEEE Geoscience and Remote Sensing Letters, 2021 | 68 | 2021 |
| Surrogate modeling of multifidelity data for large samples EV Burnaev, AA Zaytsev Journal of Communications Technology & Electronics 60 (12), 1348, 2015 | 64* | 2015 |
| Regression on the basis of nonstationary Gaussian processes with Bayesian regularization EV Burnaev, ME Panov, AA Zaytsev Journal of Communications Technology & Electronics 61 (6), 661, 2016 | 48* | 2016 |
| Sequence Embeddings Help to Detect Insurance Fraud I Fursov, E Kovtun, R Rivera-Castro, A Zaytsev, R Khasyanov, M Spindler, ... IEEE Access 10, 32060-32074, 2022 | 42* | 2022 |
| Large scale variable fidelity surrogate modeling A Zaytsev, E Burnaev Annals of Mathematics and Artificial Intelligence, 1-20, 2017 | 39 | 2017 |
| Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling E Romanenkova, A Zaytsev, N Klyuchnikov, A Gruzdev, K Antipova, ... IEEE Geoscience and Remote Sensing Letters 17 (11), 1861-1865, 2019 | 37 | 2019 |
| Long-term drought prediction using deep neural networks based on geospatial weather data A Marusov, V Grabar, Y Maximov, N Sotiriadi, A Bulkin, A Zaytsev Environmental Modelling & Software 179, 106127, 2024 | 33 | 2024 |
| A Differentiable Language Model Adversarial Attack on Text Classifiers I Fursov, A Zaytsev, P Burnyshev, E Dmitrieva, N Klyuchnikov, ... IEEE Access, 2022 | 31 | 2022 |
| Minimax Approach to Variable Fidelity Data Interpolation A Zaytsev, E Burnaev Artificial Intelligence and Statistics, 652-661, 2017 | 30 | 2017 |
| Deep Ensembles for Imbalanced Classification N Kozlovskaia, A Zaytsev Machine Learning and Applications (ICMLA), 2017 16th IEEE International …, 2017 | 28 | 2017 |
| Optimising the active muon shield for the SHiP experiment at CERN A Baranov, E Burnaev, D Derkach, A Filatov, N Klyuchnikov, O Lantwin, ... Journal of Physics: Conference Series 934 (1), 012050, 2017 | 26 | 2017 |
| Similarity learning for wells based on logging data E Romanenkova, A Rogulina, A Shakirov, N Stulov, A Zaytsev, ... Journal of Petroleum Science and Engineering 215, 110690, 2022 | 25 | 2022 |
| The Bernstein-von Mises theorem for regression based on Gaussian Processes EV Burnaev, AA Zaytsev, VG Spokoiny Russ. Math. Surv 68 (5), 954-956, 2013 | 24 | 2013 |
| Properties of the posterior distribution of a regression model based on Gaussian random fields AA Zaitsev, EV Burnaev, VG Spokoiny Automation and Remote Control 74 (10), 1645-1655, 2013 | 23 | 2013 |
| Properties of the Bayesian parameter estimation of a regression based on Gaussian processes AA Zaytsev, EV Burnaev, VG Spokoiny J. Math. Sci 203 (6), 789-798, 2014 | 18 | 2014 |
| Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective G Bazhenov, S Ivanov, M Panov, A Zaytsev, E Burnaev arXiv preprint arXiv:2206.10691, 2022 | 17 | 2022 |
Evgeny BurnaevApplied AI InstituteVerified email at applied-ai.ru
