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  1. In situ reflection electron microscopy for the surface processes analysis during sublimation and epitaxial growth of layered metal chalcogenides

    Ponomarev, S. A., Rogilo, D. I., Zakhozhev, K. E., Nasimov, D. A., Kurus, N. N., Gutakovskii, A. K., Kokh, K. A., Milekhin, A. G., Sheglov, D. V. & Latyshev, A. V., 2024, In: Modern Electronic Materials. 10, 4, p. 251-261 11 p.

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

  2. Integration of Logical and Neural Network Methods for Creation of Digital Twins of Regulations

    Palchunov, D., Nemtsev, I., Yakobson, A. & Shelkovnikova, S., 18 Nov 2025, 2025 IEEE XVII International Scientific and Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p.

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

  3. Intelligent Feature Extraction and Event Classification in Distributed Acoustic Sensing Using Wavelet Packet Decomposition

    Kozmin, A., Borozdin, P., Chernenko, A., Gostilovich, S., Kalashev, O. & Redyuk, A., 11 Nov 2025, In: Technologies. 13, 11, 21 p., 514.

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

  4. Interpretable logical-probabilistic approximation of neural networks

    Vityaev, E. & Korolev, A., Dec 2024, In: Cognitive Systems Research. 88, 101301.

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

  5. Interpretation models for data of metal-oxide gas sensors based on machine learning methods

    Kozmin, A. D. & Redyuk, A. A., 2024, In: Journal of Computational Technologies. 29, 4, p. 4-23 20 p.

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

  6. Investigation of metabolic features of glioblastoma tissue and the peritumoral environment using targeted metabolomics screening by LC-MS/MS and gene network analysis

    Basov, N. V., Adamovskaya, A. V., Rogachev, A. D., Gaisler, E. V., Demenkov, P. S., Ivanisenko, T. V., Venzel, A. S., Mishinov, S. V., Stupak, V. V., Cheresiz, S. V., Oleshko, O. S., Butikova, E. A., Osechkova, A. E., Sotnikova, Y. S., Patrushev, Y. V., Pozdnyakov, A. S., Lavrik, I. N., Ivanisenko, V. A. & Pokrovsky, A. G., Dec 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 882-896 15 p.

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

  7. Investigation on halloysite nanotube catalysts for heavy oil hydrotreatment

    Vorobyeva, E. E., Khoreshkova, A. A., Polukhin, A. V., Vdovichenko, V. A., Metalnikova, V. M., Lysikov, A. I., Selezneva, D. A. & Parkhomchuk, E. V., 1 Dec 2025, In: Fuel. 401, 135563.

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

  8. IS TASK-BASED AI THE MISSING LINK BETWEEN HUMAN AND MACHINE REASONING?

    Goncharov, S., Vityaev, E., Sviridenko, D. & Nechesov, A., 10 Jan 2026, In: Journal of Mathematical Sciences. 295, p. 4-14 11 p.

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

  9. Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases

    Glazkova, A., Morozov, D. & Garipov, T., 15 Apr 2025, Lecture Notes in Computer Science. Springer, p. 107-119 13 p. (Lecture Notes in Computer Science; vol. 15419 LNCS).

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

  10. Keywords, Morpheme Parsing, and Syntactic Trees: Features for Text Complexity Assessment

    Morozov, D. A., Smal, I. A., Garipov, T. A. & Glazkova, A. V., Dec 2025, In: Automatic Control and Computer Sciences. 59, 7, p. 929-940 12 p.

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

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