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Alexey Zaytsev
Alexey Zaytsev
Associate professor at Skoltech
Zweryfikowany adres z skoltech.ru - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
822019
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
812020
Surrogate modeling of multifidelity data for large samples
EV Burnaev, AA Zaytsev
Journal of Communications Technology & Electronics 60 (12), 1348, 2015
65*2015
Recurrent convolutional neural networks help to predict location of earthquakes
R Kail, E Burnaev, A Zaytsev
IEEE Geoscience and Remote Sensing Letters, 2021
482021
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
44*2016
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
422021
Large scale variable fidelity surrogate modeling
A Zaytsev, E Burnaev
Annals of Mathematics and Artificial Intelligence, 1-20, 2017
362017
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
302019
Minimax Approach to Variable Fidelity Data Interpolation
A Zaytsev, E Burnaev
Artificial Intelligence and Statistics, 652-661, 2017
29*2017
Deep Ensembles for Imbalanced Classification
N Kozlovskaia, A Zaytsev
Machine Learning and Applications (ICMLA), 2017 16th IEEE International …, 2017
272017
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
242017
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
242013
A Differentiable Language Model Adversarial Attack on Text Classifiers
I Fursov, A Zaytsev, P Burnyshev, E Dmitrieva, N Klyuchnikov, ...
IEEE Access, 2022
232022
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
23*2022
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
232013
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
192022
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
172014
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
132022
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
132022
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
12*2022
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