1. 2019
  2. Age Recognition from Facial Images using Convolutional Neural Networks

    Pakulich, D. V., Yakimov, S. A. & Alyamkin, S. A., 1 May 2019, In: Optoelectronics, Instrumentation and Data Processing. 55, 3, p. 255-262 8 p.

    Research output: Contribution to journalArticlepeer-review

  3. Fast evaluation of tsunami waves heights around kamchatka and kuril islands

    Lavrentiev, M., Lysakov, K., Marchuk, A., Oblaukhov, K. & Shadrin, M., 1 Feb 2019, In: Science of Tsunami Hazards. 38, 1, p. 1-13 13 p.

    Research output: Contribution to journalArticlepeer-review

  4. Development and implementation of the algorithm for automatic analysis of metrorhythmic characteristics of Russian poetic texts

    Barakhnin, V., Kozhemyakina, O. & Kuznetsova, I., 1 Jan 2019, In: CEUR Workshop Proceedings. 2523, 1 p.

    Research output: Contribution to journalConference articlepeer-review

  5. Fast determination of tsunami source parameters

    Lavrentiev, M., Kuzakov, D. & Marchuk, A., 1 Jan 2019, In: Advances in Science, Technology and Engineering Systems. 4, 6, p. 61-66 6 p.

    Research output: Contribution to journalArticlepeer-review

  6. On Practical Approach to Uniform Quantization of Non-redundant Neural Networks

    Goncharenko, A., Denisov, A., Alyamkin, S. & Terentev, E., 1 Jan 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer-Verlag GmbH and Co. KG, p. 349-360 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11728 LNCS).

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

  7. Public key and digital signature for blockchain technology: Based on the complexity of solving a system of polynomial equations

    Zavalishina, E., Krendelev, S., Volkov, E., Permiashkin, D. & Gridin, D., 1 Jan 2019, Intelligent Systems and Applications - Proceedings of the 2018 Intelligent Systems Conference IntelliSys Volume 1. Springer-Verlag GmbH and Co. KG, p. 1251-1258 8 p. (Advances in Intelligent Systems and Computing; vol. 868).

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

  8. Trainable Thresholds for Neural Network Quantization

    Goncharenko, A., Denisov, A., Alyamkin, S. & Terentev, E., 1 Jan 2019, Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer-Verlag GmbH and Co. KG, p. 302-312 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11507 LNCS).

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

  9. Автоматический рефакторинг Java-кода с использованием Stream API

    Иванов, Р. А. & Валеев, Т. Ф., 2019, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 17, 2, p. 49-60 12 p.

    Research output: Contribution to journalArticlepeer-review

  10. Алгоритм предобработки сигнала импульсного нейтронного гамма-каротажа с учетом статистической зависимости соседних элементов спектра

    Косогова, Н. О. & Власов, А. А., 2019, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 17, 1, p. 42-52 11 p.

    Research output: Contribution to journalArticlepeer-review

  11. Информационные системы: модели и технологии

    Федотов, А. М., Федотова, О. А. & Самбетбаева, М., 2019, Новосибирск: ИПЦ НГУ. 264 p.

    Research output: Book/ReportTeaching manualpeer-review

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