1. 2023
  2. Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases

    Shikhevich, S., Chadaeva, I., Khandaev, B., Kozhemyakina, R., Zolotareva, K., Kazachek, A., Oshchepkov, D., Bogomolov, A., Klimova, N. V., Ivanisenko, V. A., Demenkov, P., Mustafin, Z., Markel, A., Savinkova, L., Kolchanov, N. A., Kozlov, V. & Ponomarenko, M., 16 Feb 2023, In: International Journal of Molecular Sciences. 24, 4, 3996.

    Research output: Contribution to journalArticlepeer-review

  3. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  4. Composition of bacterial microbiome in sputum of patients with localized forms of pulmonary tuberculosis

    Druzhinin, V. G., Baranova, E. D., Demenkov, P. S., Zakharova, J. V., Lavryashina, M. B., Larionov, A. V., Matskova, L. V., Shabaldin, A. V. & Pyanzova, T. V., 2023, In: Pulmonologiya. 33, 5, p. 645-656 12 p.

    Research output: Contribution to journalArticlepeer-review

  5. Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

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

  6. 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

  7. On the number of ℓ-suitable Boolean functions in constructions of filter and combining models of stream ciphers

    Bonich, T. A., Panferov, M. A. & Tokareva, N. N., 2023, In: Прикладная дискретная математика. 62, p. 21-28 8 p.

    Research output: Contribution to journalArticlepeer-review

  8. Seismic Inversion for Fracture Model Reconstruction: From 1D Inversion to Machine Learning

    Protasov, M., Kenzhin, R., Dmitrachkov, D. & Pavlovskiy, E., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 99-109 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13957 LNCS).

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

  9. 2022
  10. Binary Brain Tumor Classification With Semantic Features Using Convolutional Neural Network

    Лыу, М. Ш. К. & Pavlovskiy, E., 25 Oct 2022, Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022: 2022 USBEREIT. Institute of Electrical and Electronics Engineers Inc., p. 44-47 4 p. (Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022).

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

  11. Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings

    Blankson, R. & Pavlovskiy, E., 2022, Proceedings of International Conference on Data Science and Applications, ICDSA 2021. Saraswat, M., Roy, S., Chowdhury, C. & Gandomi, A. H. (eds.). Springer Nature Singapore ed. Singapore: Springer Science and Business Media Deutschland GmbH, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

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

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