1. 2022
  2. Underwater biotope mapping: automatic processing of underwater video data

    Iakushkin, O. O., Pavlova, E. D., Lavrova, A. K., Polovkov, V. V., Frikh-Khar, A. U., Pen, E. A., Terekhina, Y. E., Bulanova, A. A., Shabalin, N. V. & Sedova, O. S., 6 Dec 2022, The 6th International Workshop on Deep Learning in Computational Physics (DLCP2022). 12 p.

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

  3. Underwater biotope mapping: automatic processing of underwater video data

    Лаврова, А. К., Якушкин, О. О. & Павлова, Е. Д., 19 Sep 2022, (E-pub ahead of print) In: КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ. 10, 1

    Research output: Contribution to journalConference articlepeer-review

  4. UNSUPERVISED LEARNING ON NARROWLY FOCUSED DATA AGGREGATED AUTOMATICALLY

    Павлова, Е. Д., 2022, In: Процессы управления и устойчивость. 0, 1, p. 339-344

    Research output: Contribution to journalConference articlepeer-review

  5. Первый опыт применения eTEP герниопластики при вентральных грыжах

    Коптеев, Н. Р., Ахметов, А. И., Лодыгин, А. В. & Кащенко, В. А., 2022, In: ЭНДОСКОПИЧЕСКАЯ ХИРУРГИЯ. 28, 1, p. 32-40 9 p.

    Research output: Contribution to journalArticlepeer-review

  6. 2021
  7. Detection of Hidden Communities in Twitter Discussions of Varying Volumes

    Blekanov, I., Bodrunova, S. S. & Akhmetov, A., 20 Nov 2021, In: Future Internet. 13, 11, p. 295-311 17 p., 11.

    Research output: Contribution to journalArticlepeer-review

  8. Automated Marking of Underwater Animals Using a Cascade of Neural Networks

    Iakushkin, O., Pavlova, E., Pen, E., Frikh-Khar, A., Terekhina, Y., Bulanova, A., Shabalin, N. & Sedova, O., 2021, COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT VIII: 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII. Gervasi, O., Murgante, B., Misra, S., Garau, C., Blecic, Taniar, D., Apduhan, BO., Rocha, AMAC., Tarantino, E. & Torre, CM. (eds.). Springer Nature, p. 460-470 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12956 LNCS).

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

  9. Verifiable application-level checkpoint and restart framework for parallel computing

    Ганкевич, И. Г., Петряков, И. В., Гавриков, А. А., Терещенко, Д. В. & Можайский, Г. В., 2021, Proceedings of the 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" (GRID'2021). RWTH Aahen University, (CEUR-WS; vol. 3041).

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

  10. Распределенные отказоустойчивые вычисления с sbn-python на реальном кейсе компании

    Терещенко, Д. В. & Ганкевич, И. Г., 2021, Proceedings of the 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" (GRID'2021), Dubna, Russia, July 5-9, 2021 . RWTH Aahen University, p. 519-524 (CEUR workshop proceedings; vol. 3041).

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

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