← All authors Evgeny Burnaev V.I.Shumakov Federal Research Center of Transplantology and Artificial Organs (per OpenAlex) · ORCID · OpenAlex
71 papers in scope · 70 published · 1 on the econ.EM arXiv · 922 citations · h-index 18 (over the papers listed here)
Papers (1 of 71)
A review of artificial intelligence techniques applied to subsurface oil and gas reservoir simulation
published 2026 · Applied Soft Computing
with Shadfar Davoodi, Nikita Makarov, David A. Wood, Mohammed Al-Shargabi, Vladimir Vanovskiy, Dmitry Koroteev, Valeriy S. Rukavishnikov
Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models
published 2026 · IEEE Access
with Artyom Kharinaev, Viktor Moskvoretskii, Egor Shvetsov, Kseniia Studenikina, Mikhail Bykov
PersonalAI: A Systematic Comparison of Knowledge Graph Storage and Retrieval Approaches for Personalized LLM Agents
published 2026 · IEEE Access
with Mikhail A. Menschikov, Dmitry Evseev, Victoria Dochkina, Ruslan Kostoev, Ilia Perepechkin, Petr Anokhin, Nikita Semenov
Convolution-Centering Semantic Analysis: Beyond Normalization in Deep Networks
published 2026 · IEEE Access
with Viacheslav Shokorov, Alexander Shchepanovskiy, Egor Shvetsov, Alexey Samosyuk
A deep learning-aided approach for estimating field permeability map by fusing well logs, well tests, and seismic data
published 2025 · Petroleum · 1 citations
with Grigoriy Shutov, Viktor Duplyakov, Shadfar Davoodi, Anton Morozov, Dmitriy Popkov, Kirill Pavlenko, Albert Vainshtein, Viktor Kotezhekov, Sergey Kaygorodov, Boris Belozerov, Mars Khasanov, Vladimir Vanovskiy, …
Data-driven uncertainty-aware forecasting of sea ice conditions in the gulf of Ob based on satellite radar imagery
published 2025 · Scientific Reports · first circulated 2024
with Stefan Maria Ailuro, Anna Nedorubova, Timofey Grigoryev, Vladimir Vanovskiy
Prediction of oil production rate in multiple wells of a producing field applying combined deep–learning and optimization techniques
published 2025 · Fuel · 4 citations
with Nikita Makarov, Mohammed Al-Shargabi, David A. Wood, Shadfar Davoodi
Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction
published 2025 · Scientific Reports · 19 citations
with Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, Mikhail Shutov, Usman Tasuev, Ksenia Evteeva, Maksim Mironenko
Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos
published 2025 · IEEE Access · 5 citations
with Yuliya Vybornova, M. I. Aleshin, Svetlana Illarionova, Ilya Novikov, Dmitrii Shadrin, Артем Никоноров
A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment
published 2025 · IEEE Access · 5 citations
Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions
published 2025 · IEEE Access · 3 citations
with Andrey Makarov, Islombek Mirpulatov, Nikita Firsov, Valeriy Lobanov, Svetlana Illarionova, Vladimir Podlipnov, Yuliya Vybornova, Dmitrii Shadrin, A. A. Rastorguev, Р. В. Скиданов, Артем Никоноров
NeuSD: Surface Completion With Multi-View Text-to-Image Diffusion
published 2025 · IEEE Access · first circulated 2023
with Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis
Topological Alternatives for Precision and Recall in Generative Models
published 2025 · IEEE Access
with Anton Dmitriev, Ilya Trofimov, Serguei Barannikov
Cross-Satellite Climate Structure Segmentation: A Neural Network Domain Adaptation Approach
published 2025 · IEEE Access
with Nikita V. Belyakov, Svetlana Illarionova
COTIC: Embracing Non-Uniformity in Event Sequence Data via Multilayer Continuous Convolution
published 2025 · IEEE Access
with Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Alexander Stepikin, Artem Zabolotnyi, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan A. Kireev, Rodrigo Rivera-Castro, Alexey Zaytsev
Advancing forest carbon stocks’ mapping using a hierarchical approach with machine learning and satellite imagery
published 2024 · Scientific Reports · 36 citations
with Svetlana Illarionova, Polina Tregubova, Islomjon Shukhratov, Dmitrii Shadrin, Albert Efimov
Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images
published 2024 · Information Sciences · 4 citations
with Nadezhda Alsahanova, V E Yarkin, Evgeny Spodarev, Олег Бронов, V.G. Bychenko, Alexey Marinets, E. M. Syrkashev, О Э Карпов, Alexander Bernstein, В. В. Алферова, Maxim Sharaev
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology
published 2024 · Information Sciences · 4 citations
with Svetlana Illarionova, Rifat Hamoudi, M. Zapevalina, I.A. Fedin, Nadezhda Alsahanova, Alexander Bernstein, В. В. Алферова, Ekaterina E. Khrameeva, Dmitrii Shadrin, Iman M. Talaat, Ahmed Bouridane, Maxim Sharaev, …
Remote sensing data fusion approach for estimating forest degradation: a case study of boreal forests damaged by Polygraphus proximus
published 2024 · Frontiers in Environmental Science · 9 citations
with Svetlana Illarionova, Polina Tregubova, Islomjon Shukhratov, Dmitrii Shadrin, Alexander Kedrov
Wildfire spreading prediction using multimodal data and deep neural network approach
published 2024 · Scientific Reports · 79 citations
with Dmitrii Shadrin, Svetlana Illarionova, Fedor Gubanov, Ksenia Evteeva, Maksim Mironenko, Ivan Levchunets, Roman Belousov
SeqNAS: Neural Architecture Search for Event Sequence Classification
published 2024 · IEEE Access · 14 citations
with Igor P. Udovichenko, Egor Shvetsov, Denis Divitsky, D. Osin, Ilya Trofimov, Ivan Sukharev, Anatoliy Glushenko, Dmitry Berestnev
QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise
published 2024 · IEEE Access · 2 citations · first circulated 2022
A Large-Scale Empirical Study of Aligned Time Series Forecasting
published 2024 · IEEE Access · 3 citations
with Polina Pilyugina, С. М. Медведева, Kirill Mosievich, Ilya Trofimov, Alina Kostromina, D. Simakov
Unpaired Depth Super-Resolution in the Wild
published 2024 · IEEE Access · first circulated 2021
with Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, А. П. Филиппов
Forest age estimation in northern Arkhangelsk region based on machine learning pipeline on Sentinel-2 and auxiliary data
published 2023 · Scientific Reports · 6 citations
with Alina Smolina, Svetlana Illarionova, Dmitrii Shadrin, Alexander Kedrov
Practical AI Cases for Solving ESG Challenges
published 2023 · Sustainability · 55 citations
with Evgeny G. Mironov, Aleksei Shpilman, Maxim Mironenko, Dmitry Katalevsky
Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels
published 2023 · IEEE Access · 30 citations
with Islombek Mirpulatov, Svetlana Illarionova, Dmitrii Shadrin
Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions
published 2023 · IEEE Access · 9 citations · first circulated 2022
with Egor Burkov, Ruslan Rakhimov, Aleksandr Safin, Victor Lempitsky
Multi-Fidelity Neural Architecture Search With Knowledge Distillation
published 2023 · IEEE Access · 20 citations · first circulated 2020
with Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, M. V. Salnikov, А. П. Филиппов
Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information
published 2023 · IEEE Access · 4 citations
with Andrey Lange, Dmitry Smolyakov
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting
published 2022 · Remote Sensing · 40 citations
with Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Vladimir Vanovskiy
Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers
published 2022 · PLoS ONE · 4 citations
with Marie Arsalidou, Nikolay Skuratov, Evgeny Khalezov, Alexander Bernstein, Maxim Sharaev
Sequence Embeddings Help Detect Insurance Fraud
published 2022 · IEEE Access · 25 citations
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing
published 2022 · IEEE Access · 103 citations · first circulated 2020
with Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Alexander Filippov, M. V. Salnikov
A Differentiable Language Model Adversarial Attack on Text Classifiers
published 2022 · IEEE Access · 21 citations · first circulated 2021
Learned Query Optimizers: Evaluation and Improvement
published 2022 · IEEE Access · 11 citations
with Artem Mikhaylov, Nina Mazyavkina, Mikhail Salnikov, Ilya Trofimov, Qiang Fu
Denoising Score Matching via Random Fourier Features
published 2022 · IEEE Access · 2 citations · first circulated 2021
with Olga Tsymboi, Yermek Kapushev, Ivan Oseledets, Tsimboy Olga
A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements
published 2021 · Decision Support Systems · 28 citations
with Valentina Bachurina, Svetlana Sushchinskaya, Maxim Sharaev, Marie Arsalidou
BooVAE: Boosting Approach for Continual Learning of VAE
published 2021 · Neural Information Processing Systems · 14 citations · first circulated 2019
with Evgenii Egorov, Anna Kuzina
Machine learning for recovery factor estimation of an oil reservoir: A tool for derisking at a hydrocarbon asset evaluation
published 2021 · Petroleum · 2 citations · first circulated 2020
with Ivan Makhotin, Denis Orlov, Dmitry Koroteev, Aram Karapetyan, Dmitry A. Antonenko
Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts
published 2021 · Pattern Recognition · 3 citations · first circulated 2019
with Alexander Korotin, Vladimir V. V’yugin
Manifold Modeling in Machine Learning
published 2021 · Journal of Communications Technology and Electronics · 2 citations
with Alexander Bernstein
Functional Dimension Reduction in Predictive Modeling
published 2021 · Journal of Communications Technology and Electronics · 1 citations
with Alexander Bernstein
Generalization Bound for Imbalanced Classification
published 2021 · Springer proceedings in mathematics & statistics · 1 citations
Online algorithm for aggregating experts’ predictions with unbounded quadratic loss
published 2020 · Russian Mathematical Surveys · 1 citations
with Alexander Korotin, Vladimir V. V’yugin
Adaptation of Steady-State Well Flow Model on Field Data for Calculating the Flowing Bottomhole Pressure (Russian)
published 2020 · SPE Russian Petroleum Technology Conference · 5 citations
with Egor Sergeevich Baryshnikov, Evgenii Kanin, Andrei Aleksandrovich Osiptsov, Albert Vainshtein, Grigoriy Vladimirovich Paderin, Alexander Sergeevich Prutsakov, Stanislav Olegovich Ternovenko
Bayesian Sparsification of Deep C-valued networks
published 2020 · International Conference on Machine Learning · 4 citations
Tensor Completion via Gaussian Process--Based Initialization
published 2020 · SIAM Journal on Scientific Computing
with Yermek Kapushev, Ivan Oseledets
Онлайн-алгоритм агрегации прогнозов экспертов при неограниченных квадратичных потерях
published 2020 · Успехи математических наук
with Alexander Korotin, Vladimir V. V’yugin
Adaptive hedging under delayed feedback
published 2019 · Neurocomputing · 3 citations
with Alexander Korotin, Vladimir V. V’yugin
Gaussian process classification for variable fidelity data
published 2019 · Neurocomputing
with Nikita Klyuchnikov
Deep neural networks predicting oil movement in a development unit
published 2019 · Journal of Petroleum Science and Engineering · 5 citations
with Pavel Temirchev, M. Simonov, Ruslan Kostoev, Ivan Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry Koroteev
working paper 2019 · arXiv · 5 citations
Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
published 2018 · Journal of Physics Conference Series · 12 citations
Anonymous Walk Embeddings
published 2018 · International Conference on Machine Learning · 79 citations
with Sergey Ivanov
Quadrature-based features for kernel approximation
published 2018 · Neural Information Processing Systems · 19 citations
with Marina Munkhoeva, Yermek Kapushev, Ivan Oseledets
Application of Machine Learning Technologies for Rapid 3D Modelling of Inflow to the Well in the Development System (Russian)
published 2018 · SPE Russian Petroleum Technology Conference · 11 citations
with Maksim Simonov, Alexey Akhmetov, Pavel Temirchev, Dmitry Koroteev, Ruslan Kostoev, Ivan Oseledets
Minimax Approach to Variable Fidelity Data Interpolation.
published 2017 · International Conference on Artificial Intelligence and Statistics · 15 citations
no link
Regression on the basis of nonstationary Gaussian processes with Bayesian regularization
published 2016 · Journal of Communications Technology and Electronics · 29 citations
The influence of parameter initialization on the training time and accuracy of a nonlinear regression model
published 2016 · Journal of Communications Technology and Electronics · 21 citations
with P. D. Erofeev
Computationally efficient algorithm for Gaussian Process regression in case of structured samples
published 2016 · Computational Mathematics and Mathematical Physics · 19 citations
with Mikhail Belyaev, Yermek Kapushev
Ensembles of detectors for online detection of transient changes
published 2015 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 29 citations
with Alexey Artemov
Nonparametric decomposition of quasi-periodic time series for change-point detection
published 2015 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 17 citations
with Alexey Artemov, Andrey Lokot
On an iterative algorithm for calculating weighted principal components
published 2015 · Journal of Communications Technology and Electronics · 9 citations
with S. S. Chernova
Оптимальное оценивание сигнала, наблюдаемого во фрактальном гауссовском шуме
published 2015 · Теория вероятностей и ее применения · 1 citations
with Aleksey Valer'evich Artemov
Properties of the Bayesian Parameter Estimation of a Regression Based on Gaussian Processes
published 2014 · Journal of Mathematical Sciences · 9 citations
The Bernstein-von Mises theorem for regression based on Gaussian Processes
published 2013 · Russian Mathematical Surveys · 13 citations
On a method for constructing ensembles of regression models
published 2013 · Automation and Remote Control · 22 citations
with Pavel Prikhodko
A model of the functional state of participants of laboratory markets
published 2009 · Journal of Computer and Systems Sciences International · 4 citations
with I.S. Men'shikov
On Asymptotic Optimality of the Second Order in the Minimax Quickest Detection Problem of Drift Change for Brownian Motion
published 2009 · Theory of Probability and Its Applications · 16 citations
with Eugene A. Feinberg, Albert N. Shiryaev
Disorder Problem for Poisson Process in Generalized Bayesian Setting
published 2009 · Theory of Probability and Its Applications · 5 citations
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