1. 2021
  2. Distributed Stochastic Optimization with Heavy-Ball Momentum Term for Parameter Estimation

    Erofeeva, V., Granichin, O. & Sergeenko, A., 13 Sep 2021, Conference Proceedings - 5th Scientific School Dynamics of Complex Networks and their Applications, DCNA 2021. Hramov, A., Kurkin, S., Andreev, A. & Shusharina, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 69-72 4 p. (Conference Proceedings - 5th Scientific School Dynamics of Complex Networks and their Applications, DCNA 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. Формирование стратегии развития Комитета по искусственному интеллекту в Научно-образовательном центре «Инженерия будущего»

    И.И. Баринов, Н.М. Боргест, С.Ю. Боровик, С.П. Грачев, Ю.В. Громыко, Р.И. Доронин, С.Н. Зинченко, А.Б. Иванов, В.М. Кизеев, Р.И. Кутлахметов, В.Б. Ларюхин, С.П. Левашкин, А.Н. Мочалкин, М.Г. Пантелеев, С.Б. Попов, Е.М. Севастьянов, П.О. Скобелев, А.Г. Чернявский, В.В. Шишкин, С.И. Шляев , 31 Aug 2021, In: Онтология проектирования. 11, 3, p. 260 293 p.

    Research output: Contribution to journalArticlepeer-review

  4. Revizor: A Data-Driven Approach to Automate Frequent Code Changes Based on Graph Matching

    Smirnov, O., Lobanov, A., Golubev, Y., Tikhomirova, E. & Bryksin, T., 25 Aug 2021.

    Research output: Working paperPreprint

  5. Unsupervised learning of general-purpose embeddings for code changes

    Pravilov, M., Bogomolov, E., Golubev, Y. & Bryksin, T., 23 Aug 2021, MaLTESQuE 2021 - Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, co-located with ESEC/FSE 2021. Ampatzoglou, A., Feitosa, D., Catolino, G. & Lenarduzzi, V. (eds.). Association for Computing Machinery, p. 7-12 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  6. Authorship attribution of source code: A language-agnostic approach and applicability in software engineering

    Bogomolov, E., Kovalenko, V., Rebryk, Y., Bacchelli, A. & Bryksin, T., 20 Aug 2021, ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering: Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Spinellis, D. (ed.). Association for Computing Machinery, p. 932-944 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. One thousand and one stories: A large-scale survey of software refactoring

    Golubev, Y., Kurbatova, Z., Alomar, E. A., Bryksin, T. & Mkaouer, M. W., 20 Aug 2021, ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Spinellis, D. (ed.). Association for Computing Machinery, p. 1303-1313 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  8. PyNose: A Test Smell Detector For Python

    Wang, T., Golubev, Y., Smirnov, O., Li, J., Bryksin, T. & Ahmed, I., 10 Aug 2021.

    Research output: Working paperPreprint

  9. Efficient Parallel Algorithms for String Comparison

    Mishin, N., Berezun, D. & Tiskin, A., 9 Aug 2021, 50th International Conference on Parallel Processing, ICPP 2021 - Main Conference Proceedings. Association for Computing Machinery, 10 p. 50. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  10. Image compression and enlargement algorithms

    Burova, I. G., Dem’yanovich, Y. K., Terekhov, A. N., Altynova, A. Y., Satanovskiy, A. D. & Babushkin, A. A., 5 Aug 2021, In: International Journal of Circuits, Systems and Signal Processing. 15, p. 836-846 11 p.

    Research output: Contribution to journalArticlepeer-review

  11. Simultaneous Perturbation Stochastic Approximation-Based Consensus for Tracking Under Unknown-But-Bounded Disturbances

    Granichin, O., Erofeeva, V., Ivanskiy, Y. & Jiang, Y., Aug 2021, In: IEEE Transactions on Automatic Control. 66, 8, p. 3710-3717 8 p., 9198090.

    Research output: Contribution to journalArticlepeer-review

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