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  1. Co-occurrence patterns of bacteria within microbiome of Moscow subway

    Klimenko, N. S., Tyakht, A. V., Toshchakov, S. V., Shevchenko, M. A., Korzhenkov, A. A., Afshinnekoo, E., Mason, C. E. & Alexeev, D. G., 2020, In: Computational and Structural Biotechnology Journal. 18, p. 314-322 9 p.

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

  2. Convolution neural network application for first-break picking for land seismic data

    Loginov, G. N., Duchkov, A. A., Litvichenko, D. A. & Alyamkin, S. A., Sept 2022, In: Geophysical Prospecting. 70, 7, p. 1093-1115 23 p.

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

  3. 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

  4. 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

  5. Convolutional Neural Networks with Multiple Layers per Span for Nonlinearity Mitigation in Long-Haul WDM Transmission Systems

    Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M. & Turitsyn, S., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. Paper CI-P.6. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

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

  6. Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems

    Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M. & Turitsyn, S., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, ci_p_6. (Optics InfoBase Conference Papers).

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

  7. 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

  8. Convex Optimization with Inexact Gradients in Hilbert Space and Applications to Elliptic Inverse Problems

    Matyukhin, V., Kabanikhin, S., Shishlenin, M., Novikov, N., Vasin, A. & Gasnikov, A., 2021, Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. Pardalos, P., Khachay, M. & Kazakov, A. (eds.). Springer, p. 159-175 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12755 LNCS).

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

  9. Converting Hulled into Naked Barley through Targeted Knock-Out of the Nud1 Gene

    Gerasimova, S., Hertig, C., Korotkova, A., Otto, I., Hiekel, S., Kochetov, A., Kumlehn, J. & Khlestkina, E., Aug 2018, In: In Vitro Cellular and Developmental Biology - Plant. 54, p. S101-S101 1 p.

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

  10. Conversion of tar in supercritical water/oxygen fluid with soot suppression

    Vostrikov, A. A., Fedyaeva, O. N. & Kolobov, V. I., 1 Jan 2017, In: Journal of Engineering Thermophysics. 26, 1, p. 1-9 9 p.

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

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