Filchenkov Andrey Aleksandrovich

Publications in Math-Net.Ru

1. Using algebraic data types to build deep learning architectures
   
   Zap. Nauchn. Sem. POMI, 546 (2025),  93–104
2. Vector graphics generation with LLMs: approaches and models
   
   Zap. Nauchn. Sem. POMI, 530 (2023),  24–37
3. Image vectorization: a review
   
   Zap. Nauchn. Sem. POMI, 530 (2023),  6–23
4. The use of probabilistic relational models of complex "critical documents - information system - the user - the attacker" for the analysis of security of information systems users from social engineering attacks
   
   Fuzzy Systems and Soft Computing, 10:2 (2015),  209–221
5. Graph structures in relational databases, constraint satisfaction and Bayesian networks
   
   Fuzzy Systems and Soft Computing, 10:2 (2015),  155–179
6. Algebraic Bayesian network primary structure transformation to an acyclic one that preserves its probabilistic semantics
   
   Tr. SPIIRAN, 30 (2013),  156–168
7. Memes and social engineering attacks in virtual space
   
   Tr. SPIIRAN, 30 (2013),  88–121
8. Minimal join graph subsets synthesis system
   
   Tr. SPIIRAN, 27 (2013),  200–244
9. Approaches for algebraic Bayesian networks primary structure cyclicity elimination
   
   Tr. SPIIRAN, 26 (2013),  216–233
10. Automated questionnaire based on the questions about the episodes of respondents’ risky behavior: primary analysis of application results
    
    Tr. SPIIRAN, 26 (2013),  175–193
11. Predictor Mining: Data Mining application to Social Computing
    
    Tr. SPIIRAN, 26 (2013),  136–161
12. Algorithm for minimal join graph’s randomized synthesis
    
    Tr. SPIIRAN, 25 (2013),  221–234
13. Sibling criterion for cyclicity of minimal joint graphs
    
    Tr. SPIIRAN, 25 (2013),  190–203
14. Decoding algorithm for binary linear hidden Markov models represented in the form of algebraic Bayesian networks
    
    Tr. SPIIRAN, 24 (2013),  165–177
15. Posteriori inference in tertiary polystructure of an algebraic Bayesian network
    
    Tr. SPIIRAN, 23 (2012),  343–356
16. Measures of truth and probabilistic graphical models for representation of knowledge with uncertainty
    
    Tr. SPIIRAN, 23 (2012),  254–295
17. Algorithm for Detection Algebraic Bayesian Network Primary Structure Acyclicity Based on Number of Minimal Join Graph Edges Estimating
    
    Tr. SPIIRAN, 22 (2012),  205–223
18. Algebraic Bayesian Network Secondary Structure Cycles Elimination Based on its Quaternary Structure Analysis
    
    Tr. SPIIRAN, 21 (2012),  143–156
19. Representation of multinomial linear hidden Markov models in the form of algebraic Bayesian networks
    
    Tr. SPIIRAN, 20 (2012),  186–199
20. Likelihood and relational methods for representing “informational system – personnel – critical documents” complex model.
    
    Tr. SPIIRAN, 20 (2012),  57–71
21. Algorithm for detection of algebraic Bayesian network primary structure acyclicity based on its quaternary structure
    
    Tr. SPIIRAN, 19 (2011),  128–145
22. Algebraic Bayesian Network Tertiary Polystructure Elements Synthesis Algorithms
    
    Tr. SPIIRAN, 18 (2011),  237–266
23. The Algebraic Bayesian Network Tertiary Structure
    
    Tr. SPIIRAN, 18 (2011),  164–187
24. Algebraic Bayesian Network Tertiary Structure Synthesis Algorithms
    
    Tr. SPIIRAN, 17 (2011),  197–218
25. The Algebraic Bayesian Network Minimal Join Graphs Cycles Analysis
    
    Tr. SPIIRAN, 17 (2011),  151–173
26. Term of Rib Cage in Application to the Algebraic Bayesian Network Join Graphs Analysis
    
    Tr. SPIIRAN, 16 (2011),  186–205
27. Algebraic bayesian network maximal join graph cliques structual analysis
    
    Vestnik TVGU. Ser. Prikl. Matem. [Herald of Tver State University. Ser. Appl. Math.], 2011, no. 20,  139–151
28. Minimal join graph set synthesis proprietor possession cliques algorithm
    
    Tr. SPIIRAN, 15 (2010),  193–212
29. The cardinal number of a minimal join graph set
    
    Tr. SPIIRAN, 15 (2010),  136–161
30. Minimal join graph set synthesis self-managed possession cliques algorithm
    
    Tr. SPIIRAN, 14 (2010),  150–169
31. Join graph edges in context of algebraic Bayesian network minimal join graph cliques comparative analysis
    
    Tr. SPIIRAN, 14 (2010),  132–149
32. An observed sequence probability estimate in binary linear hidden Markov models with posterior inference in algebraic Bayesian networks
    
    Tr. SPIIRAN, 13 (2010),  122–142
33. Algebraic Bayesian networks minimal join graphcliques comparative analysis
    
    Tr. SPIIRAN, 13 (2010),  87–105
34. Minimal join graph set synthesis possession cliques algorithm
    
    Tr. SPIIRAN, 13 (2010),  67–86
35. Representation of binary linear hidden Markov models in the form of algebraic Bayesian networks
    
    Tr. SPIIRAN, 12 (2010),  134–150
36. Minimal join graph set synthesis self-managing cliques algorithm
    
    Tr. SPIIRAN, 12 (2010),  119–133
37. Algebraic Bayesian networks secondary structure analysis features
    
    Tr. SPIIRAN, 12 (2010),  97–118
38. Minimal joint graph structure synthesis
    
    Tr. SPIIRAN, 11 (2009),  104–129