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  1. 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 journal › Article › peer-review

  2. 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 proceeding › Conference contribution › Research › peer-review

  3. 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 journal › Article › peer-review

  4. 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 journal › Article › peer-review

  5. Ferromagnetically Coupled S=1 Chains in Crystals of Verdazyl-Nitronyl Nitroxide Diradicals

    Tretyakov, E. V., Zhivetyeva, S. I., Petunin, P. V., Gorbunov, D. E., Gritsan, N. P., Bagryanskaya, I. Y., Bogomyakov, A. S., Postnikov, P. S., Kazantsev, M. S., Trusova, M. E., Shundrina, I. K., Zaytseva, E. V., Parkhomenko, D. A., Bagryanskaya, E. G. & Ovcharenko, V. I., 9 Nov 2020, In: Angewandte Chemie - International Edition. 59, 46, p. 20704-20710 7 p.

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

  6. Ferromagnetically Coupled S=1 Chains in Crystals of Verdazyl-Nitronyl Nitroxide Diradicals

    Tretyakov, E. V., Zhivetyeva, S. I., Kazantsev, M. S., Shundrina, I. K., Zaytseva, E. V., Parkhomenko, D. A., Bagryanskaya, E. G., Gorbunov, D. E., Bagryanskaya, I. Y., Petunin, P. V., Postnikov, P. S., Trusova, M. E., Gritsan, N. P., Bogomyakov, A. S., Ovcharenko, V. I. & Postnikov, P. S., 2020, In: Advanced Materials. 132, 46, p. 20885-20891 7 p.

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

  7. Estimation of the algorithmic complexity of classes of computable models

    Павловский, Е. Н., May 2008, In: Siberian Mathematical Journal. 49, 3, p. 512-523 12 p.

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

  8. Erratum to: Electrical Conductivity Distribution in Detonating Benzotrifuroxane (Scientific Reports, (2018), 8, 1, (9635), 10.1038/s41598-018-28028-2): Electrical Conductivity Distribution in Detonating Benzotrifuroxane

    Satonkina, N., Ershov, A., Kashkarov, A., Mikhaylov, A., Pruuel, E., Rubtsov, I., Spirin, I. & Titova, V., 1 Aug 2018, In: Scientific Reports. 8, 1, p. 11788 2 p., 11788.

    Research output: Contribution to journal › Comment/debate › peer-review

  9. Electrical Conductivity Distribution in Detonating Benzotrifuroxane

    Satonkina, N., Ershov, A., Kashkarov, A., Mikhaylov, A., Pruuel, E., Rubtsov, I., Spirin, I. & Titova, V., 25 Jun 2018, In: Scientific Reports. 8, 1, p. 9635 7 p., 9635.

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

  10. Dynamic registration of ejection from shock-loaded metals

    Ten, K. A., Pruuel, E. R., Kashkarov, A. O., Rubtsov, I. A., Antipov, M. V., Georgievskaya, A. B., Mikhailov, A. L., Spirin, I. A., Shekhtman, L. I., Zhulanov, V. V. & Tolochko, B. P., 18 Jan 2019, In: Journal of Physics: Conference Series. 1147, 1, 15 p., 012020.

    Research output: Contribution to journal › Conference article › peer-review

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