Vorontsov Konstantin Vyacheslavovich

Publications in Math-Net.Ru

1. RuSciBench: open benchmark for Russian and English scientific document representations
   
   Dokl. RAN. Math. Inf. Proc. Upr., 520:2 (2024),  284–294
2. SciRus: tiny and powerful multilingual encoder for scientific texts
   
   Dokl. RAN. Math. Inf. Proc. Upr., 520:2 (2024),  216–227
3. Application of the combinatorial generalization ability estimates in planning tracer testing studies in oil and gas fields
   
   Artificial Intelligence and Decision Making, 2024, no. 1,  68–78
4. Optimizing modality weights in topic models of transactional data
   
   Avtomat. i Telemekh., 2022, no. 12,  44–62
5. Improving the quality of machine translation using the reverse model
   
   Avtomat. i Telemekh., 2022, no. 12,  31–43
6. Incremental learning of topic models for finding trend topics in scientific publications
   
   Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022),  106–108
7. Sharpness estimation of combinatorial generalization ability bounds for threshold decision rules
   
   Avtomat. i Telemekh., 2021, no. 5,  151–168
8. Additive regularizarion of topic models with fast text vectorizartion
   
   Computer Research and Modeling, 12:6 (2020),  1515–1528
9. Convergence of the Algorithm of Additive Regularization of Topic Models
   
   Trudy Inst. Mat. i Mekh. UrO RAN, 26:3 (2020),  56–68
10. Building a complete set of topics of probabilistic topic models
    
    Intelligent systems. Theory and applications, 23:4 (2019),  7–23
11. Regularization, robustness and sparsity of probabilistic topic models
    
    Computer Research and Modeling, 4:4 (2012),  693–706
12. The combinatorial substantiation of learning algorithms
    
    Zh. Vychisl. Mat. Mat. Fiz., 44:11 (2004),  2099–2112
13. Optimization methods for linear and monotone correction in the algebraic approach to the recognition problem
    
    Zh. Vychisl. Mat. Mat. Fiz., 40:1 (2000),  166–176
14. The task-oriented optimization of bases in recognition problems
    
    Zh. Vychisl. Mat. Mat. Fiz., 38:5 (1998),  870–880
15. Preliminary data processing for solving a special class of pattern recognition problems
    
    Zh. Vychisl. Mat. Mat. Fiz., 35:10 (1995),  1564–1575


16. Foreword of the program committee of the conference “Mathematical pattern recognition methods”
    
    Avtomat. i Telemekh., 2022, no. 10,  3–8
17. Opening remarks by the Program Committee of the Conference “Intelligent Data Processing. Theory and Applications” (IDP-2020)
    
    Avtomat. i Telemekh., 2021, no. 10,  3–5
18. In memory of Konstantin Vladimirovich Rudakov (21.06.1954 – 10.07.2021)
    
    Computer Research and Modeling, 13:4 (2021),  675–676