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  1. 2023

  2. Resource Allocation in Heterogeneous Network with Supervised GNNs

    Sun, Q., Zhang, Y., Wu, H. & Petrosian, O., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 350-361 12 p.

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

  3. 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

  4. 2022

  5. 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

  6. Stability analysis of Persidskii time-delay systems with synchronous and asynchronous switching

    Aleksandrov, A., Andriyanova, N. & Efimov, D., Apr 2022, In: International Journal of Robust and Nonlinear Control. 32, 6, p. 3266-3280 15 p.

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

  7. Distributed Algorithms for Mobile Agent Deployment on a Line Segment under Switching Topology and Communication Delays

    Aleksandrov, A. & Andriyanova, N., 2022, In: IEEE Control Systems Letters. 6, p. 3218-3223 6 p.

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

  8. 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

  9. 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

  10. NEXT RUNNING APPLICATION PREDICTION IN OS USING TIME-SERIES FORECASTING AND XAI

    Ma, R., Zhang, Y., Liu, J. & Petrosian, O., 2022, In: ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ. 9, 1, p. 329-338

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

  11. On the Exponential Ranking and Its Linear Counterpart

    Gromov, D. & Evmenova, E., 2022, Complex Networks and Their Applications X : Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Benito, R. M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L. M. & Sales-Pardo, M. (eds.). Springer Nature, Vol. 1. p. 260-270 11 p. (Studies in Computational Intelligence; vol. 1015).

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

  12. Управляемое движение космического робота с гибкими шарнирами и адаптацией к изменениям рабочей среды

    Ефимова, П. А., Алферов, Г. В., Курочкин, В. Ю. & Шиманчук, Д. В., 2022, p. 33-35.

    Research output: Contribution to conference › Paper › peer-review

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