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Публикации

  1. 9Kalyuzhnaya A.V., Nikitin N.O., Butakov N.A., Nasonov D.A. Precedent-based approach for the identification of deviant behavior in social media // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2018, Vol. 10862, pp. 846-852 [SJR: 0.295]
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  2. 8 [SJR: 0.295]
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  3. 7Kovalchuk S.V. ., Metsker O.G., Funkner A.A., Kisliakovskii I.O., Nikitin N.O., Kaliuzhnaia A.V., Vaganov D.A., Bochenina K.O. A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification // Complexity - 2018, pp. 1-15 [IF: 4.621, SJR: 0.531]
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  4. 6Nikitin N.O., Kalyuzhnaya A.V., Bochenina K., Kudryashov A., Uteuov A., Derevitskii I., Boukhanovsky A.V. Evolutionary ensemble approach for behavioral credit scoring // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2018, Vol. 10862, pp. 825-831 [SJR: 0.295]
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  5. 5Uteuov A., Kalyuzhnaya A. Combined document embedding and hierarchical topic model for social media texts analysis // Procedia Computer Science - 2018, Vol. 136, pp. 293-303 [SJR: 0.258]
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  6. 4Araya-Lopez J., Kaluzhnaya A.V., Kosukhin S.S., Ivanov S.V. Data Quality Control for St. Petersburg flood warning system // Procedia Computer Science - 2016, Vol. 80, pp. 2128-2140 [SJR: 0.258]
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  7. 3Nikitin N.O., Spirin D.S., Visheratin A.A., Kalyuzhnaya A.V. Statistics-based models of flood-causing cyclones for the Baltic Sea region // Procedia Computer Science - 2016, Vol. 101, pp. 272–281 [SJR: 0.258]
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  8. 2Kosukhin, S.S. ., Kaluzhnaya, A.V. ., Nasonov D. Problem solving environment for development and maintenance of St. Petersburg’s Flood Warning System // Procedia Computer Science - 2014, Vol. 29, pp. 1667–1676 [SJR: 0.258]
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  9. 1Ivanov, S.V. ., Kosukhin, S.S. ., Kaluzhnaya, A.V. ., Boukhanovsky, A.V. . Erratum to Simulation-based collaborative decision support for surge floods prevention in St. Petersburg [J. Comput. Sci. 3 (2012) 450-455] // Journal of Computational Science - 2013, Vol. 4, No. 5, pp. 438 [IF: 1.748, SJR: 0.509]
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