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  1. 2024

  2. Opinion Dynamics in Two-Layer Networks with Hypocrisy

    Чжао, Ч. & Парилина, Е. М., 1 Mar 2024, In: Journal of the Operations Research Society of China. 12, 1, p. 109–132 24 p.

    Research output: Contribution to journal › Article › peer-review

  3. 2023

  4. Long-Term Forecasting of Air Pollution Particulate Matter (PM2. 5) and Analysis of Influencing Factors

    Zhang, Y., Sun, Q., Liu, J. & Petrosian, O., 19 Dec 2023, In: Sustainability. 16, 1, 19.

    Research output: Contribution to journal › Article › peer-review

  5. Multi-agent Reinforcement Learning based Adaptive Heterogeneous DAG Scheduling

    Петросян, О. Л., Жадан, А. Ю., Аллахвердян, А. Л., Кондратов, И. В., Михеев, В. С., Romanovskii, A. & Kharin, V., 3 Oct 2023, In: ACM Transactions on Intelligent Systems and Technology. 14, 5, 26 p., 87.

    Research output: Contribution to journal › Article › peer-review

  6. Consensus time and winning rate based on simulations in two-layer networks with hypocrisy

    Чжао, Ч. & Парилина, Е. М., 18 Sep 2023, Proceedings - 7th Scientific School: Dynamics of Complex Networks and their Applications, DCNA 2023. p. 68 - 71 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. ShapTime: A General XAI Approach for Explainable Time Series Forecasting

    Zhang, Y., Sun, Q., Qi, D., Liu, J., Ma, R. & Petrosian, O., 2023, (Accepted/In press) In: Lecture Notes in Networks and Systems. 15 p.

    Research output: Contribution to journal › Article › peer-review

  8. Моделирование автоэмиссионного катодно-модуляторного узла

    Соколов, И. А. & Никифоров, К. А., 2023, In: Процессы управления и устойчивость. 10, 1, p. 156-160 5 p.

    Research output: Contribution to journal › Conference article › peer-review

  9. Нелинейные алгоритмы управления группой мобильных агентов на отрезке

    Александров, А. Ю. & Рузин, С. Б., 2023, In: МЕХАТРОНИКА, АВТОМАТИЗАЦИЯ, УПРАВЛЕНИЕ. 24, 3, p. 115-121

    Research output: Contribution to journal › Article › peer-review

  10. 2022

  11. Prediction of Next App in OS

    Ma, R., Zhang, Y., Liu, J., Petrosian, O. & Krinkin, K., 16 Jun 2022, Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022. Shaposhnikov, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 28-31 4 p. (Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  12. FI-SHAP: Explanation of Time Series Forecasting and Improvement of Feature Engineering Based on Boosting Algorithm

    Zhang, Y., Petrosian, O., Liu, J., Ma, R. & Krinkin, K. V., 2022, Intelligent Systems and Applications: Proceedings of the 2022 Intelligent Systems Conference (IntelliSys). Springer Nature, Vol. 3. p. 745–758 (Lecture Notes in Networks and Systems; no. 544).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

  13. Forecasting and XAI for Applications Usage in OS

    Ma, R., Zhang, Y., Liu, J., Li, Y., Petrosian, O. & Krinkin, K. V., 2022, Machine Learning and Artificial Intelligence. IOS Press, p. 17-27 (Frontiers in Artificial Intelligence and Applications; no. 360).

    Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review

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