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  1. Application of boolean valued and fuzzy model theory for knowledge base development

    Yakhyaeva, G., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 868-871 4 p. 8958245. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  2. Application of boolean-valued models and FCA for the development of ontological models

    Palchunov, D. & Yakhyaeva, G., 2017, In: CEUR Workshop Proceedings. 1921, p. 77-87 11 p.

    Research output: Contribution to journal › Article › peer-review

  3. Application of the Case Models Restriction for Modeling Argumentation Reasoning

    Yakhyaeva, G., 2021, 2021 International Symposium on Knowledge, Ontology, and Theory, KNOTH 2021. Institute of Electrical and Electronics Engineers Inc., p. 40-44 5 p. (2021 International Symposium on Knowledge, Ontology, and Theory, KNOTH 2021).

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

  4. Application of the Fuzzy Model Theory for Modeling QA-Systems

    Yakhyaeva, G., Karmanova, A. & Ershov, A., 2021, In: Computing and Informatics. 40, 6, p. 1197-1216 20 p.

    Research output: Contribution to journal › Article › peer-review

  5. Application of the Metric Learning for Security Incident Playbook Recommendation

    Kraeva, I. & Yakhyaeva, G., 30 Jun 2021, 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, p. 475-479 5 p. 9507632. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2021-June).

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

  6. Combining logical and statistical rule reasoning and verification for medical applications

    Palchunov, D. E., Tishkovsky, D. E., Tishkovskaya, S. V. & Yakhyaeva, G. E., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 309-313 5 p. 8109895

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

  7. Conceptual methods for identifying needs of mobile network subscribers

    Palchunov, D., Yakhyaeva, G. & Dolgusheva, E., 2016, In: International Conference on Concept Lattices and Their Applications. CLA2016, p. 147-158 12 p.

    Research output: Contribution to journal › Article › peer-review

  8. Conceptual methods for identifying needs of mobile network subscribers

    Palchunov, D., Yakhyaeva, G. & Dolgusheva, E., 2016, In: CEUR Workshop Proceedings. 1624, p. 147-160 14 p.

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

  9. Content Preprocessing Module for Distance Learning System

    Podkur, T. M., Shestakova, E. A. & Yakhyaeva, G. E., 2022, Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, p. 669-674 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2022-June).

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

  10. Entangled Fuzzy Models

    Yakhyaeva, G. E. & Palchunova, O. D., 26 Nov 2024, 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. Institute of Electrical and Electronics Engineers Inc., p. 314-318 5 p. (2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024).

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

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