161 - 180 out of 307Page size: 20
  1. 2020

  2. Axiomatization of classes of domain cases based on FCA

    Palchunov, D. E., 2020, Artificial Intelligence - 18th Russian Conference, RCAI 2020, Proceedings. Kuznetsov, S. O., Panov, A. I. & Yakovlev, K. S. (eds.). Springer, p. 3-14 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12412 LNAI).

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

  3. Creation of a Dependency Tree for Sentences in the Kazakh Language

    Akhmed-Zaki, D., Mansurova, M., Kadyrbek, N., Barakhnin, V. & Misebay, A., 2020, Computational Collective Intelligence - 12th International Conference, ICCCI 2020, Proceedings. Nguyen, N. T., Hoang, B. H., Huynh, C. P., Hwang, D., Trawinski, B. & Vossen, G. (eds.). Springer, p. 709-718 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12496 LNAI).

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

  4. Development of Kazakh Named Entity Recognition Models

    Akhmed-Zaki, D., Mansurova, M., Barakhnin, V., Kubis, M., Chikibayeva, D. & Kyrgyzbayeva, M., 2020, Computational Collective Intelligence - 12th International Conference, ICCCI 2020, Proceedings. Nguyen, N. T., Nguyen, N. T., Hoang, B. H., Huynh, C. P., Hwang, D., Trawinski, B. & Vossen, G. (eds.). Springer, p. 697-708 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12496 LNAI).

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

  5. Representation of knowledge using different structures of concepts

    Palchunov, D. & Yakhyaeva, G., 2020, In: CEUR Workshop Proceedings. 2729, p. 69-74 6 p.

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

  6. The expressiveness of looping terms in the semantic programming

    Goncharov, S., Ospichev, S., Ponomaryov, D. & Sviridenko, D., 2020, In: Сибирские электронные математические известия. 17, p. 380-394 15 p., 024.

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

  7. 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 conference › Abstract › peer-review

  8. Анализ активности мозга по данным функциональной МРТ при эмоциональной оценке себя и других людей

    Knyazev, G. G., Bocharov, A. V., Savostyanov, A. N., Levin, E. A. & Rudych, P. D., 2020, In: Журнал высшей нервной деятельности им. И. П. Павлова. 70, 1, p. 31-39 9 p.

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

  9. Сетевые технологии : Видеокурс

    Bachilo, D. A. & Хазанкин, Г. Р., 2020, ИПЦ НГУ.

    Research output: Other contribution › Education

  10. Электроэнцефалографические корреляты инсайта

    Knyazev, G. G., Bocharov, A. V., Sevastyanov, A. N., Ushakov, D. V. & Velichkovsky, B. M., 2020, In: Voprosy Psikhologii. 2020, 1, p. 119-132 14 p., 11.

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

  11. ЭЭГ-корреляты активности дефолт-системы при обработке социально значимой информации

    Knyazev, G. G., Bocharov, A. V., Savostyanov, A. N. & Levin, E. A., 2020, In: Журнал высшей нервной деятельности им. И. П. Павлова. 70, 2, p. 174-181 8 p.

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

  12. 2019

  13. Methods to identify the destructive information

    Barakhnin, V. B., Mukhamedyev, R. I., Mussabaev, R. R., Yu Kozhemyakina, O., Issayeva, A., Kuchin, Y. I., Murzakhmetov, S. B. & Yakunin, K. O., 4 Dec 2019, In: Journal of Physics: Conference Series. 1405, 1, 012004.

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

  14. Reply to Comment on Singlet Oxygen 1O2 in Photocatalysis on TiO2. Where Does It Come from?

    Demyanenko, A. V., Bogomolov, A. S., Dozmorov, N. V., Svyatova, A. I., Pyryaeva, A. P., Goldort, V. G., Kochubei, S. A. & Baklanov, A. V., 21 Nov 2019, In: Journal of Physical Chemistry C. 123, 46, p. 28515-28518 4 p.

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

  15. Impact of polymorphisms in the serotonin transporter gene on oscillatory dynamics during inhibition of planned movement in children

    Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Saprigyn, A. E., Proshina, E. A., Astakhova, T. N. & Knyazev, G. G., 6 Nov 2019, In: Brain Sciences. 9, 11, 11 p., 311.

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

  16. EEG cross-frequency correlations as a marker of predisposition to affective disorders

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V. & Aftanas, L. I., 1 Nov 2019, In: Heliyon. 5, 11, p. e02942 10 p., e02942.

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

  17. 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

  18. An Automated Apparatus for Measuring Spectral Dependences of the Mass Spectra and Velocity Map Images of Photofragments

    Dozmorov, N. V., Bogomolov, A. S. & Baklanov, A. V., 1 Oct 2019, In: Instruments and Experimental Techniques. 62, 4, p. 502-505 4 p.

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

  19. 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 proceeding › Conference contribution › Research › peer-review

  20. Integration of Fuzzy Model Theory and FCA for Big Data Mining

    Palchunov, D. E. & Yakhyaeva, G. E., 1 Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 961-966 6 p. 8958216. (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

  21. Logical methods for smart contract development

    Galieva, A. G. & Palchunov, D. E., 1 Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 881-885 5 p. 8958340. (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

  22. Semantic domain-specific languages

    Gumirov, V. S., Matyukov, P. Y. & Palchunov, D. E., 1 Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 955-960 6 p. 8958237. (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

Previous 1...5 6 7 8 9 10 11 12 ...16 Next

ID: 3084753