21 - 30 out of 475Page size: 10
Sort by: Title

  1. A New Randomized Algorithm for Community Detection in Large Networks

    Kirianovskii, I., Granichin, O. & Proskurnikov, A., 2016, In: IFAC Proceedings Volumes (IFAC-PapersOnline). 49, 13, p. 31-35 5 p.

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

  2. An investigation into the stability of contextual document clustering

    Rooney, N., Patterson, D., Galushka, M., Dobrynin, V. & Smirnova, E., 15 Jan 2008, In: Journal of the American Society for Information Science and Technology. 59, 2, p. 256-266 11 p.

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

  3. An ontology-based approach to support formal verification of concurrent systems

    Garanina, N., Anureev, I., Sidorova, E., Koznov, D., Zyubin, V. & Gorlatch, S., 2020, Formal Methods- FM 2019 International Workshops - Revised Selected Papers. Sekerinski, E., Moreira, N., Oliveira, J. N., Ratiu, D., Guidotti, R., Farrell, M., Luckcuck, M., Marmsoler, D., Campos, J., Astarte, T., Gonnord, L., Cerone, A., Couto, L., Dongol, B., Kutrib, M., Monteiro, P. & Delmas, D. (eds.). Springer Nature, p. 114-130 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12232 LNCS).

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

  4. Application of Scenario Approach to Optimal Choice of Feedback Coefficients in Trading Strategy Using PI-Controller

    Kornivetc, A. & Granichin, O., 2015, PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT. Xu, J., Nickel, S., Machado, VC. & Hajiyev, A. (eds.). Springer Nature, p. 991-998 8 p. (Advances in Intelligent Systems and Computing; vol. 362).

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

  5. Applying deep learning to C# call sequence synthesis

    Chebykin, A. E. & Kirilenko, I. A., 2018, In: Труды института системного программирования РАН. 30, 3, p. 63-86

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

  6. A randomized algorithm for estimating the number of clusters

    Granichin, O. N., Shalymov, D. S., Avros, R. & Volkovich, Z., 2011, In: Automation and Remote Control. 72, 4, 12 p.

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

  7. A randomized stochastic approximation algorithm for self-learning

    Granichin, ON. & Izmakova, OA., 2005, In: Automation and Remote Control. 66, 8, p. 1239-1248 10 p.

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

  8. A randomized stochastic optimization algorithm: Its estimation accuracy

    Vakhitov, AT., Granichin, ON. & Sysoev, SS., 1 Jan 2006, In: Automation and Remote Control. 67, 4, p. 589-597 9 p.

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

  9. A Sequential Subspace Quasi-Newton Method for Large-Scale Convex Optimization

    Senov, A., Granichin, O. & Granichina, O., Jul 2020, American Control Conference, ACC 2020. Institute of Electrical and Electronics Engineers Inc., p. 3627-3632 6 p. 9147989. (Proceedings of the American Control Conference).

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

  10. A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub

    Golubev, Y., Eliseeva, M., Povarov, N. & Bryksin, T., 29 Jun 2020, p. 54-64. 11 p.

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

Previous 1 2 3 4 5 6 7 8 ...48 Next

ID: 30196