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  1. 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

  2. Cross-frequency coupling in developmental perspective

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V., Tamozhnikov, S. S., Kozlova, E. A., Leto, I. V. & Slobodskaya, H. R., 14 May 2019, In: Frontiers in Human Neuroscience. 13, p. 158 10 p., 158.

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

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

  4. Depression and implicit emotion processing: An EEG study

    Bocharov, A. V., Knyazev, G. G. & Savostyanov, A. N., 1 Jun 2017, In: Neurophysiologie Clinique. 47, 3, p. 225-230 6 p.

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

  5. Depression and oscillatory correlates of implicit emotion processing

    Bocharov, A. V., Knyazev, G. G. & Savostyanov, A. N., Oct 2016, In: International Journal of Psychophysiology. 108, p. 130-131 2 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  6. Depressive Symptomatology and the Activity of Oscillatory Resting State Networks

    Knyazev, G. G., Savost’yanov, A. N., Bocharov, A. V., Saprygin, A. E. & Tamozhnikov, S. S., 1 Oct 2016, In: Neuroscience and Behavioral Physiology. 46, 8, p. 942-947 6 p.

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

  7. Depressive symptoms and autobiographical memory: A pilot electroencephalography (EEG) study

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V. & Kuznetsova, V. B., 16 Mar 2017, In: Journal of Clinical and Experimental Neuropsychology. 39, 3, p. 242-256 15 p.

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

  8. Design and Development of Pipeline of Preprocessing Tools for Kazakh Language Texts

    Mansurova, M., Barakhnin, V. B., Madiyeva, G., Kadyrbek, N. & Dossanov, B., 2022, Human Language Technology. Challenges for Computer Science and Linguistics - 9th Language and Technology Conference, LTC 2019, Revised Selected Papers. Vetulani, Z., Paroubek, P. & Kubis, M. (eds.). Springer, p. 129-142 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13212 LNAI).

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

  9. Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods

    Barakhnin, V., Kozhemyakina, O. & Grigorieva, I., 1 Feb 2022, In: Applied Sciences (Switzerland). 12, 3, 1674.

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

  10. Developing named entity recognition algorithms for Uzbek: Dataset insights and implementation

    Mengliev, D., Barakhnin, V., Abdurakhmonova, N. & Eshkulov, M., Jun 2024, In: Data in Brief. 54, 8 p., 110413.

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

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