1. 2022
  2. 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 proceedingConference contributionpeer-review

  3. 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 journalArticlepeer-review

  4. 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 journalArticlepeer-review

  5. 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 proceedingChapterpeer-review

  6. 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 proceedingArticle in an anthologypeer-review

  7. 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 journalConference articlepeer-review

  8. 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 proceedingConference contributionpeer-review

  9. 2021
  10. Comparison and explanation of forecasting algorithms for energy time series

    Zhang, Y., Ma, R., Liu, J., Liu, X., Petrosian, O. & Krinkin, K., 1 Nov 2021, In: Mathematics. 9, 21, 2794.

    Research output: Contribution to journalArticlepeer-review

  11. High-Dimensional Explainable AI for Cancer Detection

    Zou, J., Xu, F., Zhang, Y., Petrosian, O. & Krinkin, K., 1 Sep 2021, In: International Journal of Artificial Intelligence. 19, 2, p. 195-217 23 p.

    Research output: Contribution to journalArticlepeer-review

ID: 61544132