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  1. 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

  2. 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

  3. 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

  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. 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

  6. 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

  7. 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 Science and Business Media Deutschland GmbH, 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

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

    Yakovenko, O. & Bondarenko, I., 2020, Theory and Practice of Natural Computing - 9th International Conference, TPNC 2020, Proceedings. Martín-Vide, C., Vega-Rodríguez, M. A. & Yang, M-S. (eds.). Springer Science and Business Media Deutschland GmbH, 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 › Conference contribution › Research › peer-review

  9. 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

  10. 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

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