| Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai SA Budennyy, VD Lazarev, NN Zakharenko, AN Korovin, OA Plosskaya, ... Doklady Mathematics 106 (Suppl 1), S118-S128, 2022 | 55 | 2022 |
| Image processing and machine learning approaches for petrographic thin section analysis S Budennyy, A Pachezhertsev, A Bukharev, A Erofeev, D Mitrushkin, ... SPE Russian Petroleum Technology Conference?, D023S014R005, 2017 | 45* | 2017 |
| Atomic structure and energy spectrum of Ga (As, P)/GaP heterostructures DS Abramkin, MA Putyato, SA Budennyy, AK Gutakovskii, BR Semyagin, ... Journal of Applied Physics 112 (8), 2012 | 43 | 2012 |
| Semi-analytical models for calculating well interference: limitations and applications (Russian) IF Khatmullin, AP Tsanda, AM Andrianova, SA Budenny, AS Margarit, ... Oil Industry Journal 2018 (12), 38-41, 2018 | 17* | 2018 |
| The task of instance segmentation of mineral grains in digital images of rock samples (thin sections) A Bukharev, S Budennyy, O Lokhanova, B Belozerov, E Zhukovskaya 2018 International Conference on Artificial Intelligence Applications and …, 2018 | 17 | 2018 |
| Application of machine learning for oilfield data quality improvement A Andrianova, M Simonov, D Perets, A Margarit, D Serebryakova, ... SPE Russian Petroleum Technology Conference?, D023S029R005, 2018 | 17* | 2018 |
| Optimization of multi-stage hydraulic fracturing design in conditions of Bazhenov formation (Russian) AV Bochkarev, SA Budennyy, RN Nikitin, DA Mitrushkin, AA Erofeev, ... Oil Industry Journal 2017 (03), 50-53, 2017 | 15* | 2017 |
| A new approach to clastic rocks pore-scale topology reconstruction based on automatic thin-section images and CT scans analysis V Krutko, B Belozerov, S Budennyy, E Sadikhov, O Kuzmina, D Orlov, ... SPE Annual Technical Conference and Exhibition?, D021S020R005, 2019 | 13 | 2019 |
| Anomaly detection in electroluminescence images of heterojunction solar cells A Korovin, A Vasilev, F Egorov, D Saykin, E Terukov, I Shakhray, ... Solar Energy 259, 130-136, 2023 | 10 | 2023 |
| Well logging verification using machine learning algorithms A Tsanda, A Bukharev, S Budennyy, A Andrianova 2018 International Conference on Artificial Intelligence Applications and …, 2018 | 8 | 2018 |
| Automatic analysis of petrographic thin section images of sandstone AY Bukharev, SA Budennyy, AA Pachezhertsev, BV Belozerov, EA Zhuk ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018 | 8 | 2018 |
| Efficiency analysis of ESP lifted wells in the context of virtual flow metering I Krylov, S Budennyy, R Khabibullin, A Loginov, A Andrianova, O Kobzar, ... SPE Russian Petroleum Technology Conference?, D013S004R002, 2019 | 7 | 2019 |
| Pseudo-3D hydraulic fracture model with complex mechanism of proppant transport and tip screen out A Bochkarev, S Budennyy, R Nikitin, D Mitrushkin ECMOR XV-15th European Conference on the Mathematics of Oil Recovery, cp-494 …, 2016 | 7* | 2016 |
| Data-driven stochastic AC-OPF using Gaussian process regression M Mitrovic, A Lukashevich, P Vorobev, V Terzija, S Budennyy, Y Maximov, ... International Journal of Electrical Power & Energy Systems 152, 109249, 2023 | 6* | 2023 |
| Gp cc-opf: Gaussian process based optimization tool for chance-constrained optimal power flow M Mitrovic, O Kundacina, A Lukashevich, S Budennyy, P Vorobev, ... Software Impacts 16, 100489, 2023 | 6 | 2023 |
| Boosting heterogeneous catalyst discovery by structurally constrained deep learning models AN Korovin, IS Humonen, AI Samtsevich, RA Eremin, AI Vasilev, ... Materials Today Chemistry 30, 101541, 2023 | 6 | 2023 |
| An enhanced pseudo-3D model of hydraulic fracture in multi-layered formation S Budennyy SPE Annual Technical Conference and Exhibition?, D023S099R003, 2017 | 6 | 2017 |
| Hybrid dft/data-driven approach for searching for new quasicrystal approximants in sc-x (x= rh, pd, ir, pt) systems RA Eremin, IS Humonen, PN Zolotarev, IV Medrish, LE Zhukov, ... Crystal Growth & Design 22 (7), 4570-4581, 2022 | 5 | 2022 |
| New drugs and stock market: a machine learning framework for predicting pharma market reaction to clinical trial announcements S Budennyy, A Kazakov, E Kovtun, L Zhukov Scientific Reports 13 (1), 12817, 2023 | 3 | 2023 |
| Assessing the transport connectivity of urban territories, based on intermodal transport accessibility AS Morozov, GI Kontsevik, SA Mityagin, IA Shmeleva, L Scheider Frontiers in Built Environment 9, 95, 2023 | 3 | 2023 |
Leonid ZhukovHSE University, Faculty of Computer Science, ProfessorПодтвержден адрес электронной почты в домене hse.ru
