1. Maximums of the additive differential probability of exclusive-or

    Mouha, N., Kolomeec, N., Akhtiamov, D., Sutormin, I., Panferov, M., Titova, K., Bonich, T., Ishchukova, E., Tokareva, N. & Zhantulikov, B., 2021, In: IACR Transactions on Symmetric Cryptology. 2021, 2, p. 292-313 22 p.

    Research output: Contribution to journalArticlepeer-review

  2. Mathematical problems and solutions of the Ninth International Olympiad in Cryptography NSUCRYPTO

    Idrisova, V. A., Tokareva, N. N., Gorodilova, A. A., Beterov, I. I., Bonich, T. A., Ishchukova, E. A., Kolomeec, N. A., Kutsenko, A. V., Malygina, E. S., Pankratova, I. A., Pudovkina, M. A. & Udovenko, A. N., 2023, In: Прикладная дискретная математика. 62, p. 29-54 26 p., 4.

    Research output: Contribution to journalArticlepeer-review

  3. Mathematical methods in solutions of the problems presented at the third international students' olympiad in cryptography

    Tokareva, N., Gorodilova, A., Agievich, S., Idrisova, V., Kolomeec, N., Kutsenko, A., Oblaukhov, A. & Shushuev, G., Jun 2018, In: Прикладная дискретная математика. 40, p. 34-58 25 p.

    Research output: Contribution to journalArticlepeer-review

  4. Isomorphism of Atomless Boolean Algebras with Distinguished Ideals

    Goncharov, S. S. & Xiang, J., 29 Apr 2025, In: Algebra and Logic. 63, 3, p. 179–185 7 p.

    Research output: Contribution to journalArticlepeer-review

  5. 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 journalArticlepeer-review

  6. Improving Brain Tumor Multiclass Classification With Semantic Features

    Sao Khue, L. M. & Pavlovskiy, E., 2022, Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. Institute of Electrical and Electronics Engineers Inc., p. 150-154 5 p. (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. Hierarchical Classification of Scientific Articles Using Deep Learning (Using the UDC Hierarchy As an Example)

    Мамедов, В. Ю., Ковалевский, Д. А., Морозов, Д. А., Столяров, С. С. & Оспичев, С. С., Dec 2025, In: Automatic Control and Computer Sciences. 59, 7, p. 1181-1192 12 p.

    Research output: Contribution to journalArticlepeer-review

  8. Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM

    Luu, M. S. K., Banerjee, S., Pavlovskiy, E. N. & Tuchinov, B. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2320-2325 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium

    Ivanisenko, V. A., Basov, N. V., Makarova, A. A., Venzel, A. S., Rogachev, A. D., Demenkov, P. S., Ivanisenko, T. V., Kleshchev, M. A., Gaisler, E. V., Moroz, G. B., Plesko, V. V., Sotnikova, Y. S., Patrushev, Y. V., Lomivorotov, V. V., Kolchanov, N. A. & Pokrovsky, A. G., Dec 2023, In: Vavilovskii Zhurnal Genetiki i Selektsii. 27, 7, p. 768-775 8 p.

    Research output: Contribution to journalArticlepeer-review

  10. Gene networks and metabolomic screening analysis revealed specific pathways of amino acid and acylcarnitine profile alterations in blood plasma of patients with Parkinson’s disease and vascular parkinsonism

    Makarova, A. A., Melnikova, P. M., Rogachev, A. D., Demenkov, P. S., Ivanisenko, T. V., Predtechenskaya, E. V., Karmanov, S. Y., Koval, V. V., Pokrovsky, A. G., Lavrik, I. N., Kolchanov, N. A. & Ivanisenko, V. A., Dec 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 927-939 13 p.

    Research output: Contribution to journalArticlepeer-review

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