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 | 71 | 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 | 70 | 2020 |
Surrogate modeling of multifidelity data for large samples EV Burnaev, AA Zaytsev Journal of Communications Technology & Electronics 60 (12), 1348, 2015 | 62* | 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 | 43* | 2016 |
Recurrent convolutional neural networks help to predict location of earthquakes R Kail, E Burnaev, A Zaytsev IEEE Geoscience and Remote Sensing Letters, 2021 | 36 | 2021 |
Large scale variable fidelity surrogate modeling A Zaytsev, E Burnaev Annals of Mathematics and Artificial Intelligence, 1-20, 2017 | 33 | 2017 |
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 | 32 | 2021 |
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 | 27 | 2019 |
Minimax Approach to Variable Fidelity Data Interpolation A Zaytsev, E Burnaev Artificial Intelligence and Statistics, 652-661, 2017 | 27* | 2017 |
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 |
Deep Ensembles for Imbalanced Classification N Kozlovskaia, A Zaytsev Machine Learning and Applications (ICMLA), 2017 16th IEEE International …, 2017 | 21 | 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 | 20 | 2017 |
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 | 19* | 2022 |
A Differentiable Language Model Adversarial Attack on Text Classifiers I Fursov, A Zaytsev, P Burnyshev, E Dmitrieva, N Klyuchnikov, ... IEEE Access, 2022 | 18 | 2022 |
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 | 17 | 2014 |
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 | 13 | 2022 |
Similarity learning for well logs prediction using machine learning algorithms A Rogulina, A Zaytsev, L Ismailova, D Kovalev, K Katterbauer, A Marsala International Petroleum Technology Conference, D032S158R005, 2022 | 12 | 2022 |
Modeling of nonstationary covariance function of gaussian process using decomposition in dictionary of nonlinear functions E Burnaev, A Zaytsev, M Panov, P Prihodko, Y Yanovich Information Technologies and Systems–2011, 2-7, 2011 | 11 | 2011 |
Fundamental Research and Developments in the Field of Applied Artificial Intelligence EV Burnaev, AV Bernstein, VV Vanovskiy, AA Zaytsev, AM Bulkin, ... Doklady Mathematics 106 (Suppl 1), S14-S22, 2022 | 9* | 2022 |