Domashova D.V.

Domashova Dzhenni V.

Associate Professor

Department of Financial Monitoring (75, ИФТЭБ КАФ 75)
Works at MEPhI since 2015
Work Experience: 32 years

Education

1989 — Moscow State University

Courses

1. Econometrics
2. Econometrics (Specialized Topics)
3. Marco Statistical Analysis and Forecasting
4. Mathematical Foundations Of Information Processing (Macro-Economic Analysis And Forecasting)
5. Numeric Methods in Financial Task Monitoring
6. Optimization Methods

Publication activity

2
h-index (Scopus)
3
h-index (РИНЦ)

Showing publications for last 3 years

  1. Article
    Web of Science & Scopus
    Application of machine learning methods to identify suspicious actions of employees related to violation of the procedures of a credit institution // Procedia Computer Science, 2022 Vol. 213, No. C, Q2 pp. 110-118 doi
  2. Article
    Web of Science & Scopus
    Detection and analysis of atypical stock transactions with possible misuse of insider information and market manipulation: Methods and models // Procedia Computer Science, 2022 Vol. 213, No. C, Q2 pp. 165-174 doi
  3. Article
    Web of Science & Scopus
    Development of a generalized algorithm for identifying atypical bank transactions using machine learning methods // Procedia Computer Science, 2022 Vol. 213, No. C, Q2 pp. 101-109 doi
  4. Article
    Web of Science & Scopus
    Machine learning Models Compositions Builder // Procedia Computer Science, 2022 Vol. 213, No. C, Q2 pp. 157-164 doi
  5. Article
    Web of Science & Scopus
    Developing a named entity recognition model for text documents in Russian to detect personal data using machine learning methods // Procedia Computer Science, 2022 Vol. 213, No. C, Q2 pp. 127-135 doi
  6. Article
    Web of Science & Scopus
    Identification of atypical behavior of bank employees when using e-mail to prevent information leakages // Procedia Computer Science, 2022 Vol. 213, No. C, Q2 pp. 119-126 doi
  7. RSCI Application of machine learning techniques in detecting fraudulent transactions // 2021 pp. 532-538
  8. RSCI Modern tools for identifying suspicious customers // 2021 pp. 656-662
  9. RSCI Study of the Impact of Economic Indicators of the World Countries on Illicit Drug Trafficking // 2021 pp. 259-273
  10. RSCI Integration of a risk-based approach to credit organizations // 2021 pp. 161-173
  11. Article
    Web of Science & Scopus
    Usage of machine learning methods for early detection of money laundering schemes // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 184-192 doi
  12. Article
    Web of Science & Scopus
    Detection of non-typical users of the electronic marketplace freight transportation to prevent the competitive intelligence // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 210-216 doi
  13. Article
    Web of Science & Scopus
    The Corruption Perception Index: Analysis of dependence on socio-economic indicators // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 193-203 doi
  14. Article
    Web of Science & Scopus
    Selecting an optimal architecture of neural network using genetic algorithm // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 263-273 doi
  15. Article
    Web of Science & Scopus
    Predicting the revocation of a bank license using machine learning algorithms // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 164-170 doi
  16. Article
    Web of Science & Scopus
    Detection of fraudulent transactions using SAS Viya machine learning algorithms // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 204-209 doi
  17. Article
    Web of Science & Scopus
    Identification of non-typical international transactions on bank cards of individuals using machine learning methods // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 178-183 doi
  18. Article
    Web of Science & Scopus
    Application of machine learning methods for risk analysis of unfavorable outcome of government procurement procedure in building and grounds maintenance domain // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 171-177 doi

Showing conferences for last 3 years

Conferences not found

Повышение квалификации

December 15, 2020 — March 01, 2021 Improving the pedagogical skills of NRNU MEPhI personnel: internationalization of education (first level of training) (72 hours) NRNU MEPhI

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