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  1. 2020

  2. Adaptive method of color selection in application to social media images

    Bushmelev, F., Abramov, M. & Tulupyeva, T., 19 Dec 2020, In: CEUR Workshop Proceedings. 2782, p. 252-257

    Research output: Contribution to journal › Conference article

  3. Adapted Color Selection Method to Images Version 01 for Python (Adapted CSM IMG py.v.01)

    Бушмелев, Ф. В., Тулупьев, А. Л., Абрамов, М. В. & Тулупьева, Т. В., 17 Dec 2020, Федеральная служба по интеллектуальной собственности, Patent No. 2020666932

    Research output: Patenting and IP registration › Certificate of registration

  4. Application of the Altematives Method Probabilities in Construction of Intensity of User Communications Estimates

    Khlobystova, A. O., Abramov, M. V. & Tulupyeva, T. V., May 2020, Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020. Shaposhnikov, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 37-40 4 p. 9198751. (Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020).

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

  5. Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network

    Toropova, A. V. & Tulupyeva, T. V., May 2020, Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020. Shaposhnikov, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 22-24 9198795

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

  6. An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations

    Khlobystova, A., Korepanova, A. & Tulupyeva, T., 2020, Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. Kovalev, S., Sukhanov, A., Tarassov, V. & Snasel, V. (eds.). Springer Nature, p. 206-213 8 p. (Advances in Intelligent Systems and Computing; vol. 1156 AISC).

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

  7. Learning behavior rate models on social network data

    Toropova, A. V. & Tulupyeva, T. V., 2020, In: CEUR Workshop Proceedings. 2648, p. 200-209 10 p.

    Research output: Contribution to journal › Conference article › peer-review

  8. Testing Behavior Rate Models on data from Vk.com Social Network

    Toropova, A. & Tulupyeva, T., 2020, In: CEUR Workshop Proceedings. 2782, p. 258-263

    Research output: Contribution to journal › Conference article › peer-review

  9. Адаптированный метод цветовых выборов в применении к изображениям из социальных медиа

    Бушмелев, Ф. В., Абрамов, М. В. & Тулупьева, Т. В., 2020, VIII Международная научно-практическая конференция «Нечеткие системы, мягкие вычисления и интеллектуальные технологии» НСМВИТ-2020: Труды конференции. В 2-х т.. Смоленск: Универсум, Vol. 2. p. 154-163 10 p.

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

  10. Применение метода вероятностей альтернатив при построении оценок интенсивности взаимосвязей.

    Хлобыстова, А. О., Абрамов, М. В. & Тулупьева, Т. В., 2020, In: Международная конференция по мягким вычислениям и измерениям. 1, p. 35-38

    Research output: Contribution to journal › Article

  11. 2019

  12. Quantification of relations represented in the social network, Version 01 for CSharp (QR SN cs.v.01).

    Хлобыстова, А. О., Абрамов, М. В., Тулупьев, А. Л. & Тулупьева, Т. В., 31 Jan 2019, Patent No. RU 2019612142

    Research output: Patenting and IP registration › Patent

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