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  1. 2022

  2. Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments

    Kolonin, A., 2022, Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. Goertzel, B., Iklé, M. & Potapov, A. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 106-115 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13154 LNAI).

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

  3. On detecting alternatives by one-parametric recursive residuals

    Sakhanenko, A. I., 2022, In: Siberian Electronic Mathematical Reports. 19, 1, p. 292-308 17 p.

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

  4. On Several Edge-Disjoint MSTs with Given Diameter in Undirected Graph with Exponentially Distributed Edge Weights

    Gimadi, E. K., Shevyakov, A. S. & Shtepa, A. A., 2022, Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Revised Selected Papers. Burnaev, E., Ivanov, S., Panchenko, A., Ignatov, D. I., Kuznetsov, S. O., Khachay, M., Koltsova, O., Kutuzov, A., Loukachevitch, N., Napoli, A., Pardalos, P. M., Saramäki, J., Savchenko, A. V., Tsymbalov, E. & Tutubalina, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 195-206 12 p. (Communications in Computer and Information Science; vol. 1573 CCIS).

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

  5. Rational choice of modelling assumptions for simulation of blood vessel end-to-side anastomosis

    Tagiltsev, I. I., Parshin, D. V. & Shutov, A. V., 2022, In: Mathematical Modelling of Natural Phenomena. 17, 20.

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

  6. Representative Elementary Volume via Averaged Scalar Minkowski Functionals

    Andreeva, M. V., Kalyuzhnyuk, A. V., Krutko, V. V., Russkikh, N. E. & Taimanov, I. A., 2022, Advanced Problem in Mechanics II - Proceedings of the 48th International Summer School-Conference “Advanced Problems in Mechanics”, 2020. Indeitsev, D. A. & Krivtsov, A. M. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 533-539 7 p. (Lecture Notes in Mechanical Engineering).

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

  7. Statistical tests for text homogeneity: using forward and backward processes of numbers of different words

    Abebe, B., Chebunin, M., Kovalevskii, A. & Zakrevskaya, N., 2022, In: Glottometrics. 53, p. 42-58 17 p.

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

  8. Text complexity and linguistic features: their correlation in English and Russian

    Morozov, D. A., Glazkova, A. V. & Iomdin, B. L., 2022, In: Russian Journal of Linguistics. 26, 2, p. 426-448 23 p., 7.

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

  9. Ultra-Parabolic Kolmogorov-Type Equation with Multiple Impulsive Sources

    Kuznetsov, I. & Sazhenkov, S., 2022, Current Trends in Analysis, its Applications and Computation. Cerejeiras, P., Reissig, M., Sabadini, I. & Toft, J. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 565-574 10 p. 57. (Trends in Mathematics).

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

  10. Unsupervised Context-Driven Question Answering Based on Link Grammar

    Ramesh, V. & Kolonin, A., 2022, Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. Goertzel, B., Iklé, M. & Potapov, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 210-220 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13154 LNAI).

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

  11. Unsupervised Tokenization Learning

    Kolonin, A. & Ramesh, V., 2022. 16 p.

    Research output: Contribution to conference › Paper › peer-review

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