1. 2008
  2. Estimation of the algorithmic complexity of classes of computable models

    Павловский, Е. Н., May 2008, In: Siberian Mathematical Journal. 49, 3, p. 512-523 12 p.

    Research output: Contribution to journalArticlepeer-review

  3. 2011
  4. Программный комплекс анализа данных по методу FRiS для медицинских центров, версия 1.0 (Medical Center FRiS-analyzer v. 1.0)

    Дюбанов, В. В. & Павловский, Е. Н., 11 Jan 2011, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2011610484, Priority date 11 Nov 2010, Priority No. 2010617059

    Research output: PatentSoftware registration

  5. Методы исследования операций и когнитивного анализа данных в решении задач лечебно-профилактических учреждений

    Павловский, Е. Н. & Дюбанов, В. В., Dec 2011, In: Патология кровообращения и кардиохирургия. 2011, 4, p. 77-82 6 p., 2011, N4.

    Research output: Contribution to journalArticlepeer-review

  6. 2017
  7. «Модуль анализа текстовой информации: классификатор текстов»

    Павловский, Е. Н., Масловский, И. А., Батура, Т. В. & Дюбанов, В. В., 9 Feb 2017, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2017611829, 21 Dec 2016, Priority date 21 Dec 2016, Priority No. 2016664103

    Research output: PatentSoftware registration

  8. «Модуль анализа графической и видеоинформации: классификатор бланков документов»

    Павловский, Е. Н., Алямкин, С. А., Луппов, Д. А. & Зырянов, А. О., 17 Feb 2017, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2017612227, 21 Dec 2016, Priority date 21 Dec 2016, Priority No. 2016664036

    Research output: PatentSoftware registration

  9. Восстановление 3D-модели дефекта черепа на основе глубоких нейронных сетей

    Павловский, Е. Н., Пакулич, Д. В. & Поспелов, С. О., 1 Sept 2017, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 15, 3, p. 74-78 5 p.

    Research output: Contribution to journalArticlepeer-review

  10. FRiS-censoring of reference sample in face recognition task by deep neural networks

    Alyamkin, S. A., Nikolenko, N. A., Pavlovskiy, E. N. & Dyubanov, V. V., 18 Oct 2017, Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017. Institute of Electrical and Electronics Engineers Inc., p. 41-43 3 p. 8071961

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

  11. 2018
  12. Reducing over-smoothness in speech synthesis using Generative Adversarial Networks

    Pavlovskiy, E. N. & Шэн, Л., 2018

    Research output: Other contributionResearch

  13. 2019
  14. Проблемы и перспективы стандартизации в области хранения и обработки данных

    Павловский, Е. Н., 6 Mar 2019, Перспективные рынки и технологии интернета вещей: публичный аналитический доклад. Дежина, И. (ed.). Москва: ООО "Лайм", p. 153-161 9 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  15. Problems and Prospectives of Big Data Storage and Processing Standartization

    Pavlovskiy, E. N., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 995-998 4 p. 8958046. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  16. Reducing over-smoothness in speech synthesis using Generative Adversarial Networks

    Sheng, L. & Pavlovskiy, E. N., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 972-974 3 p. 8957862. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  17. Artificial Intelligence for Imaging Diagnostics in Neurosurgery

    Letyagin, A. Y., Degtyareva, L. O., Golushko, S. K., Rzaev, J. A., Amelin, M. E., Pavlovsky, E. N., Tuchinov, B. N., Amelina, E. V., Moisak, G. I. & Bulgakova, E. G., 1 Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 336-337 2 p. 8958201. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  18. Superposition as Data Augmentation using LSTM and HMM in Small Training Sets

    Павловский, Е. Н. & Сивасвами, А., 24 Oct 2019, Daejeon, South Korea: Cornell University, 5 p.

    Research output: Working paper

  19. High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram

    Pavlovskiy, E., Sheng, L. & Huang, D-Y., 3 Dec 2019, 6 p.

    Research output: Working paper

  20. Система определения автоответчика и гендера (пола) по аудиозаписям телефонного разговора

    Бондаренко, И., Яковенко, О. С., Дедов, Е. И., Гребенкин, Д. В., Павловский, Е. Н. & Тучинов, Б. Н., 4 Dec 2019, Новосибирский государственный университет, Patent No. 32, Priority date 3 Dec 2019

    Research output: PatentKnow-how registration

  21. 2020
  22. The Siberian multimodal brain tumor image segmentation dataset

    Голушко, С. К., Амелина, Е. В., Groza, V., Амелин, М. Е., Толстокулаков, Н. Ю., Тучинов, Б. Н. & Pavlovskiy, E., 2020.

    Research output: Contribution to conferenceAbstractpeer-review

  23. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation

    Groza, V., Tuchinov, B., Pavlovskiy, E., Amelina, E., Amelin, M., Golushko, S. & Letyagin, A., 1 Jan 2020, Bioinformatics and Biomedical Engineering - 8th International Work-Conference, IWBBIO 2020, Proceedings. Rojas, I., Valenzuela, O., Rojas, F., Herrera, L. J. & Ortuño, F. (eds.). Springer Gabler, p. 695-704 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12108 LNBI).

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

  24. Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation

    Tolstokulakov, N., Pavlovskiy, E., Tuchinov, B., Amelina, E., Amelin, M., Letyagin, A., Golushko, S. & Groza, V., 1 Apr 2020, ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings. Institute of Electrical and Electronics Engineers Inc., 4 p. 9153416. (ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings).

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

  25. Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing

    Letyagin, A., Golushko, S., Amelin, M., Tuchinov, B., Amelina, E., Tolstokulakov, N., Pavlovskiy, E. & Groza, V., Jul 2020, Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020: International symposium will take place in the frame of 12th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”. Institute of Electrical and Electronics Engineers Inc., p. 185-189 5 p. 9214645. (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

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

  26. Development of water flood model for oil production enhancement

    Tsvaki, J. J., Tailakov, D. O. & Pavlovskiy, E. N., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 46-49 4 p. 9303200. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

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