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Publication search results
found 53 matches
- 2024
- Valeriy Shevchenko, Aleksandr Lukashevich, Daria Taniushkina, Alexander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov:
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. IEEE Access 12: 15748-15763 (2024) - Aleksandr Lukashevich, Aleksandr Bulkin, Yury Maximov:
A-Priori Reduction of Scenario Approximation for Automated Generation Control in High-Voltage Power Grids With Renewable Energy. IEEE Control. Syst. Lett. 8: 1613-1618 (2024) - Alexander Marusov, Vsevolod Grabar, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev:
Long-term drought prediction using deep neural networks based on geospatial weather data. Environ. Model. Softw. 179: 106127 (2024) - Aleksander Lukashevich, Vyacheslav Gorchakov, Petr Vorobev, Deepjyoti Deka, Yury Maximov:
Importance Sampling Approach to Chance-Constrained DC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. 11(2): 928-937 (2024) - Yury Yanovich, Yash Madhwal, Igor Maximov:
Smart Donations for Software Development via Blockchain. ICBC 2024: 3-4 - Joe Gorka, Tim Hsu, Wenting Li, Yury Maximov, Line Roald:
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks. CoRR abs/2403.15363 (2024) - 2023
- Dmitry Yu. Maximov, Vladimir I. Goncharenko, Yury S. Legovich:
Correction to: Multi-valued neural networks I: a multi-valued associative memory. Neural Comput. Appl. 35(24): 18087-18088 (2023) - Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts 16: 100489 (2023) - Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov:
Long-Term Hail Risk Assessment with Deep Neural Networks. IWANN (1) 2023: 288-301 - Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR abs/2302.08454 (2023) - Dmitry Yu. Maximov, Vladimir I. Goncharenko, Yury S. Legovich:
Multi-Valued Neural Networks I A Multi-Valued Associative Memory. CoRR abs/2302.11909 (2023) - Vsevolod Grabar, Alexander Marusov, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev:
Long-term drought prediction using deep neural networks based on geospatial weather data. CoRR abs/2309.06212 (2023) - Valeriy Shevchenko, Daria Taniushkina, Aleksandr Lukashevich, Aleksander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov:
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. CoRR abs/2310.15912 (2023) - Vsevolod Morozov, Artem Galliamov, Aleksandr Lukashevich, Antonina Kurdukova, Yury Maximov:
CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics. CoRR abs/2311.03370 (2023) - 2022
- Aleksandr Lukashevich, Yury Maximov:
Power Grid Reliability Estimation via Adaptive Importance Sampling. IEEE Control. Syst. Lett. 6: 1010-1015 (2022) - Anton Anikin, Alexander V. Gasnikov, Alexander Gornov, Dmitry Kamzolov, Yury Maximov, Yurii E. Nesterov:
Efficient numerical methods to solve sparse linear equations with application to PageRank. Optim. Methods Softw. 37(3): 907-935 (2022) - Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante:
Recommender Systems: When Memory Matters. ECIR (2) 2022: 56-63 - Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov:
Self-Training: A Survey. CoRR abs/2202.12040 (2022) - Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR abs/2202.13240 (2022) - Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen Budenny, Yury Maximov, Deepjyoti Deka:
Data-Driven Stochastic AC-OPF using Gaussian Processes. CoRR abs/2207.10781 (2022) - Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. CoRR abs/2208.14814 (2022) - Vsevolod Grabar, Yury Maximov, Alexey Zaytsev:
Predicting spatial distribution of Palmer Drought Severity Index. CoRR abs/2208.14833 (2022) - Aleksandra Burashnikova, Wenting Li, Massih Amini, Deepjyoti Deka, Yury Maximov:
Ranking-Based Physics-Informed Line Failure Detection in Power Grids. CoRR abs/2209.01021 (2022) - Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov, Ilya Makarov:
Long-term hail risk assessment with deep neural networks. CoRR abs/2209.01191 (2022) - 2021
- Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini:
User preference and embedding learning with implicit feedback for recommender systems. Data Min. Knowl. Discov. 35(2): 568-592 (2021) - Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. 71: 121-142 (2021) - Dmitry Yu. Maximov, Vladimir Goncharenko, Yury S. Legovich:
Multi-valued neural networks I: a multi-valued associative memory. Neural Comput. Appl. 33(16): 10189-10198 (2021) - Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante:
Recommender systems: when memory matters. CoRR abs/2112.02242 (2021) - 2020
- Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini:
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. CoRR abs/2012.06910 (2020) - 2019
- Valerii Likhosherstov, Yury Maximov, Misha Chertkov:
Inference and Sampling of $K_33$-free Ising Models. ICML 2019: 3963-3972
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