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  1. 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

  2. Default Mode Network Connections Supporting Intra- Individual Variability in Typically Developing Primary School Children: An EEG Study

    Privodnova, E. Y., Slobodskaya, H. R., Bocharov, A. V., Saprigyn, A. E. & Knyazev, G. G., Oct 2020, In: Neuropsychology. 34, 7, p. 811-823 13 p.

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

  3. 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

  4. Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition

    Yakovenko, O. & Bondarenko, I., 2021, Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Revised Supplementary Proceedings. van der Aalst, W. M., Batagelj, V., Buzmakov, A., Ignatov, D. I., Kalenkova, A., Khachay, M., Koltsova, O., Kutuzov, A., Kuznetsov, S. O., Lomazova, I. A., Loukachevitch, N., Makarov, I., Napoli, A., Panchenko, A., Pardalos, P. M., Pelillo, M., Savchenko, A. V. & Tutubalina, E. (eds.). Springer, p. 115-126 12 p. (Communications in Computer and Information Science; vol. 1357 CCIS).

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

  5. Convolutional Variational Autoencoders for Audio Feature Representation in Speech Recognition Systems

    Yakovenko, O. & Bondarenko, I., 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Martín-Vide, C., Vega-Rodríguez, M. A. & Yang, M-S. (eds.). Springer, p. 54-66 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12494 LNCS).

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

  6. Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data

    Fu, X., Tamozhnikov, S. S., Saprygin, A. E., Istomina, N. A., Klemeshova, D. I. & Savostyanov, A. N., Dec 2023, In: Vavilovskii Zhurnal Genetiki i Selektsii. 27, 7, p. 851-858 8 p.

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

  7. Contrastive fine-tuning to improve generalization in deep NER

    Bondarenko, I., 15 Jun 2022, In: Komp'juternaja Lingvistika i Intellektual'nye Tehnologii. 21, p. 70-80 11 p., 8.

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

  8. Connectivity Analysis for Measuring of DMN Activity

    Zavarzin, E. A., Savostyanov, A. N., Karpova, A. G. & Milakhina, N. S., 2022, Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, p. 318-321 4 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

  9. Conjugacy of Maximal and Submaximal 픛-Subgroups

    Guo, W. & Revin, D. O., 1 Jul 2018, In: Algebra and Logic. 57, 3, p. 169-181 13 p.

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

  10. Conditional Random Fields for Metaphor Detection

    Мосолова, А. В., Бондаренко, И. & Фомин, В. В., Oct 2018, Proceedings of the Workshop on Figurative Language Processing, Fig-Lang 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018. Klebanov, B. B., Shutova, E., Lichtenstein, P., Muresan, S. & Leong, C. W. (eds.). New Orleans, Louisiana: Association for Computational Linguistics, p. 121-123 3 p. (Proceedings of the Workshop on Figurative Language Processing, Fig-Lang 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018).

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

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