1. 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, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  2. A black-box approach to the construction of metal-radical multispin systems and analysis of their magnetic properties

    Kadilenko, E. M., Gritsan, N. P., Tretyakov, E. V., Fokin, S. V., Romanenko, G. V., Bogomyakov, A. S., Gorbunov, D. E., Schollmeyer, D., Baumgarten, M. & Ovcharenko, V. I., 14 Dec 2020, In: Dalton Transactions. 49, 46, p. 16916-16927 12 p.

    Research output: Contribution to journalArticlepeer-review

  3. Accurate noise-robust classification of Bacillus species from MALDI-TOF MS spectra using a denoising autoencoder

    Uvarova, Y. E., Demenkov, P. S., Kuzmicheva, I. N., Venzel, A. S., Mischenko, E. L., Ivanisenko, T. V., Efimov, V. M., Bannikova, S. V., Vasilieva, A. R., Ivanisenko, V. A. & Peltek, S. E., 1 Sept 2023, In: Journal of integrative bioinformatics. 20, 3, 12 p.

    Research output: Contribution to journalArticlepeer-review

  4. AI-Assisted Identification of Primary and Secondary Metabolomic Markers for Postoperative Delirium

    Ivanisenko, V. A., Rogachev, A. D., Makarova, A-L. A., Basov, N. V., Gaisler, E. V., Kuzmicheva, I. N., Demenkov, P. S., Venzel, A. S., Ivanisenko, T. V., Antropova, E. A., Kolchanov, N. A., Plesko, V. V., Moroz, G. B., Lomivorotov, V. V. & Pokrovsky, A. G., Nov 2024, In: International Journal of Molecular Sciences. 25, 21, 11847.

    Research output: Contribution to journalArticlepeer-review

  5. AIMarkerFinder: AI-Assisted Marker Discovery Based on an Integrated Approach of Autoencoders and Kolmogorov–Arnold Networks

    Demenkov, P. S., Ivanisenko, T. V. & Ivanisenko, V. A., 2026, In: Informatics. 13, 1, 13 p., 2.

    Research output: Contribution to journalArticlepeer-review

  6. An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models

    Ivanisenko, T. V., Demenkov, P. S. & Ivanisenko, V. A., 3 Nov 2024, In: International Journal of Molecular Sciences. 25, 21, 11811.

    Research output: Contribution to journalArticlepeer-review

  7. ANDDigest: a new web-based module of ANDSystem for the search of knowledge in the scientific literature

    Ivanisenko, T. V., Saik, O. V., Demenkov, P. S., Ivanisenko, N. V., Savostianov, A. N. & Ivanisenko, V. A., 14 Sept 2020, In: BMC Bioinformatics. 21, Suppl 11, p. 228 21 p., 228.

    Research output: Contribution to journalArticlepeer-review

  8. A new version of the ANDSystem tool for automatic extraction of knowledge from scientific publications with expanded functionality for reconstruction of associative gene networks by considering tissue-specific gene expression

    Ivanisenko, V. A., Demenkov, P. S., Ivanisenko, T. V., Mishchenko, E. L. & Saik, O. V., 5 Feb 2019, In: BMC Bioinformatics. 20, Suppl 1, 11 p., 34.

    Research output: Contribution to journalArticlepeer-review

  9. An Explanation Method for Semantic Segmentation Enhance Brain Tumor Classification

    Kenzhin, R., Luu, M. S. K., Pavlovskiy, E. & Tuchinov, B., 2025, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, p. 319-330 12 p. 23. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15406 LNCS).

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

  10. A note on the properties of associated boolean functions of quadratic APN functions

    Gorodilova, A. A., 1 Jan 2020, In: Прикладная дискретная математика. 47, p. 16-21 6 p.

    Research output: Contribution to journalArticlepeer-review

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