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Savchenko, Andrey Vladimirovich
Statistics Math-Net.Ru
Total publications: 11
Scientific articles: 11
Presentations: 1

Number of views:
This page:123
Abstract pages:2322
Full texts:478
References:258
Professor
Doctor of technical sciences (2016)
E-mail:
Website: https://www.hse.ru/staff/avsavchenko

Biography

Graduated from N. Novgorod State Technical University in 2002, majoring in Applied Mathematics and Informatics. He defended his PhD in Mathematical Modeling, Numeric Methods and Software Complexes in 2010. He received the Doctor of Science degree in System Analysis, Control and Information Processing in 2016. Currently he works as the professor of Information Systems and Technologies department and senior researcher of the laboratory of Algorithms and Technologies in Network Analysis in National Research University Higher School of Economics, Nizhny Novgorod. He is the co-author of more than 100 scientific papers. Research interests include multimedia processing and pattern recognition.

https://www.mathnet.ru/eng/person159412
https://scholar.google.com/citations?user=1feIO4YAAAAJ&hl=en
https://orcid.org/0000-0001-6196-0564
https://www.webofscience.com/wos/author/record/A-1157-2014
https://www.scopus.com/authid/detail.url?authorId=42962245900

Publications in Math-Net.Ru Citations
2023
1. E. N. Churaev, A. V. Savchenko, “Facial expression recognition based on adaptation of the classifier to videos of the user”, Computer Optics, 47:5 (2023),  806–815  mathnet 2
2. A. Alekseev, A. Savchenko, E. Tutubalina, E. Myasnikov, S. Nikolenko, “Blending of predictions boosts understanding for multimodal advertisements”, Zap. Nauchn. Sem. POMI, 529 (2023),  176–196  mathnet
2022
3. A. D. Sokolova, A. V. Savchenko, S. I. Nikolenko, “Open-set face identification with automatic detection of out-of-distribution images”, Computer Optics, 46:5 (2022),  801–807  mathnet 5
4. A. A. Masyutin, A. V. Savchenko, A. A. Naumov, S. V. Samsonov, D. N. Tyapkin, D. V. Belomestny, D. S. Morozova, D. A. Bad'ina, “Development of applied solutions based on artificial intelligence for technological security control”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022),  28–32  mathnet  elib; Dokl. Math., 106:suppl. 1 (2022), S23–S27
2021
5. A. V. Savchenko, “Fast image classification algorithms based on sequential analysis”, Zap. Nauchn. Sem. POMI, 499 (2021),  267–283  mathnet
2020
6. A. S. Kharchevnikova, A. V. Savchenko, “Visual preferences prediction for a photo gallery based on image captioning methods”, Computer Optics, 44:4 (2020),  618–626  mathnet 3
2018
7. A. V. Savchenko, “Trigonometric series in orthogonal expansions for density estimates of deep image features”, Computer Optics, 42:1 (2018),  149–158  mathnet 5
2017
8. A. V. Savchenko, “Maximum-likelihood dissimilarities in image recognition with deep neural networks”, Computer Optics, 41:3 (2017),  422–430  mathnet 19
2016
9. A. V. Savchenko, “The maximal likelihood enumeration method for the problem of classifying piecewise regular objects”, Avtomat. i Telemekh., 2016, no. 3,  99–108  mathnet  elib; Autom. Remote Control, 77:3 (2016), 443–450  isi  scopus 3
2013
10. A. V. Savchenko, “Statistical pattern recognition based on probabilistic neural network with homogeneity testing”, Artificial Intelligence and Decision Making, 2013, no. 4,  45–56  mathnet  elib
2011
11. A. V. Savchenko, “Automatic image recognition three-threshold system”, Artificial Intelligence and Decision Making, 2011, no. 4,  102–109  mathnet  elib

Presentations in Math-Net.Ru
1. Ýôôåêòèâíûå àëãîðèòìû êëàññèôèêàöèè âèäåîäàííûõ íà ìîáèëüíûõ óñòðîéñòâàõ
A. V. Savchenko
Mathematical Foundations of Artificial Intelligence
December 4, 2024 17:00   

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