Vera Ignatenko
- Research Fellow:HSE Campus in St. Petersburg / Saint-Petersburg School of Social Sciences and Area Studies / Laboratory for Social and Cognitive Informatics
- Vera Ignatenko has been at HSE University since 2018.
Education and Degrees
- 2017
PhD
Justus Liebig University Giessen - 2015
Degree in Applied Mathematics and Information Science
Saint Petersburg State University
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2019)
Courses (2020/2021)
- Probability Theory and Mathematical Statistics (Bachelor’s programme; St.Petersburg School of Economics and Management; 2 year, 1, 2 module)Rus
- Past Courses
Courses (2019/2020)
Courses (2018/2019)
Publications9
- Article Koltsov S., Ignatenko V., Terpilowski M., Rosso P. Analysis and tuning of hierarchical topic models based on Renyi entropy approach // PeerJ Computer Science. 2021. Vol. 7. Article e608. doi
- Article Koltsov S., Ignatenko V., Boukhers Z., Staab S. Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi entropy // Entropy. 2020. Vol. 22. No. 4. P. 1-13. doi
- Chapter Koltsov S., Ignatenko V., Pashakhin S. Fast Tuning of Topic Models: An Application of Rényi Entropy and Renormalization Theory, in: Proceedings of the 5th International Electronic Conference on Entropy and Its Applications Vol. 46. Issue 1. MDPI AG, 2020. Ch. 5. P. 1-8. doi
- Chapter Koltsov S., Ignatenko V., Pashakhin S. How many clusters? An Entropic Approach to Hierarchical Cluster Analysis, in: Intelligent Computing: SAI 2020: Volume 3 Vol. 1230. Book 3. Cham : Springer, 2020. doi P. 560-569. doi
- Article Koltcov Sergei, Ignatenko V. Renormalization Analysis of Topic Models // Entropy. 2020. Vol. 22. No. 5. P. 1-23. doi
- Chapter Koltsov S., Ignatenko V. Renormalization approach to the task of determining the number of topics in topic modeling, in: Intelligent Computing: SAI 2020: Volume 1 Vol. 1228. Part 1. Switzerland : Springer, 2020. P. 234-247. doi
- Article Koltsov S., Ignatenko V., Koltsova O. Estimating Topic Modeling Performance with Sharma–Mittal Entropy // Entropy. 2019. Vol. 21. No. 7. P. 1-29. doi
- Article Ignatenko V., Sergei Koltcov, Staab S., Boukhers Z. Fractal approach for determining the optimal number of topics in the field of topic modeling // Journal of Physics: Conference Series. 2019. Vol. 1163. No. 1. P. 1-6. doi
- Article Vera Ignatenko. Homoclinic and stable periodic solutions for differential delay equations from physiology // Discrete and Continuous Dynamical Systems. 2018. Vol. 38. No. 7. P. 3637-3661. doi
Conferences
- 2020Computing Conference 2020 (Лондон). Presentation: Renormalization approach to the task of determining the number of topics in topic modeling
- Computing Conference 2020 (Лондон). Presentation: How many clusters? An Entropic Approach to Hierarchical Cluster Analysis
- 2019Equadiff Conference (Лейден). Presentation: Existence of homoclinic and stable periodic solutions for a family of delay differential equations.
Electronic Conference on Entropy and Its Applications (Базель). Presentation: Fast tuning of topic models: an application of Rényi entropy and renormalization theory
- 2018
International Conference on Computer Simulation in Physics and beyond (CSP) (Москва). Presentation: Fractal approach for determining the optimal number of topics
Equadiff 2019
Leiden as a place for discussion about differential equations
New achievements of LINIS team
It has been become such a good tradition to obtain "gifts" from HSE Academic Fund at the Christmas Eve!
LINIS on CSP2018
LINIS Junior Research Fellow Vera Ignatenko took part at the International Conference on Computer Simulation in Physics and beyond (CSP2018) held September 24-27 2018 in Moskow.