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🌱 I an AI and Computational Mathematic Researcher, Executive Director of SberIndex, SberBank of Moscow, Russia, and Associate Professor of Computer Science at HSE University.
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Previously, I was the head of Laboratory of Artificial Intelligence for Cognitive Sciences and Artificial Intelligence Researcher at Center for Language and Brain, HSE University, Moscow, Russia.
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📫 You can reach me using: sr.shalileh@gmail.com
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Shalileh S. A filtered gradient descent clustering method to recover communities in attributed networks. IEEE Access. 2025 Sep 26. https://ieeexplore.ieee.org/ielx8/6287639/10820123/11180948.pdf?tp=&arnumber=11180948&isnumber=10820123&ref=aHR0cHM6Ly9zY2hvbGFyLmdvb2dsZS5jb20v
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Shalileh S. Gradient Descent Clustering with Regularization to Recover Communities in Transformed Attributed Networks. InInternational Conference on Advances in Social Networks Analysis and Mining 2024 Sep 2 (pp. 137-148). Cham: Springer Nature Switzerland.
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Shalileh S, Kairov M, Baminiwatte R, Parshina O, Dragoy O. Predicting First-Language and Second-Language Proficiency Using Eye Fixation Data and Demographic Information: Assumptions, Data Representations and Methods. IEEE Access. 2024 Sep 26.
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Shalileh, S., Ignatov, D., Lopukhina, A. and Dragoy, O., 2023. Identifying dyslexia in school pupils from eye movement and demographic data using artificial intelligence. Plos one, 18(11), p.e0292047. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0292047
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Shalileh, S., 2023. An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach. Mathematics, 11(12), p.2617. https://doi.org/10.3390/math11122617
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Mirkin, B. and Shalileh, S., 2022. Community Detection in Feature-Rich Networks Using Data Recovery Approach. Journal of Classification, pp.1-31. https://link.springer.com/article/10.1007/s00357-022-09416-w
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Shalileh, S. and Mirkin, B., 2022. Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method. Entropy, 24(5), p.626. https://www.mdpi.com/1099-4300/24/5/626
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Shalileh, S. and Mirkin, B., 2021. Least-squares community extraction in feature-rich networks using similarity data. Plos one, 16(7), p.e0254377. https://doi.org/10.1371/journal.pone.0254377
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Shalileh, S., Mirkin, B. Summable and nonsummable data-driven models for community detection in feature-rich networks. Soc. Netw. Anal. Min. 11, 67 (2021). https://doi.org/10.1007/s13278-021-00774-8
For more check my Google Scholar, ORCID and Scopus.