Ivan Nazarov
Title
Cited by
Cited by
Year
Steganographic generative adversarial networks
D Volkhonskiy, I Nazarov, E Burnaev
Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 114333M, 2020
782020
Conformal -NN Anomaly Detector for Univariate Data Streams
V Ishimtsev, A Bernstein, E Burnaev, I Nazarov
Conformal and Probabilistic Prediction and Applications, 213-227, 2017
342017
Conformalized kernel ridge regression
E Burnaev, I Nazarov
2016 15th IEEE international conference on machine learning and applications …, 2016
242016
Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
R Rivera, I Nazarov, E Burnaev
Journal of Physics: Conference Series 1117 (1), 012010, 2018
102018
Sparse group inductive matrix completion
I Nazarov, B Shirokikh, M Burkina, G Fedonin, M Panov
arXiv preprint arXiv:1804.10653, 2018
82018
Demand forecasting techniques for build-to-order lean manufacturing supply chains
R Rivera-Castro, I Nazarov, Y Xiang, A Pletneev, I Maksimov, E Burnaev
International Symposium on Neural Networks, 213-222, 2019
72019
Overview of the Russian natural gas industry
I Nazarov
Gazprom, 15-47, 2015
62015
Recommender systems in antiviral drug discovery
EA Sosnina, S Sosnin, AA Nikitina, I Nazarov, DI Osolodkin, MV Fedorov
ACS omega 5 (25), 15039-15051, 2020
32020
Topology-Based clusterwise regression for user segmentation and demand forecasting
R Rivera-Castro, A Pletnev, P Pilyugina, G Diaz, I Nazarov, W Zhu, ...
2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019
32019
The evolution of the Russian gas market
I Nazarov
Gazprom, 218-250, 2015
32015
Транзит природного газа: модель торга
ИН Назаров, ВМ Крейндель
Экономика и математические методы 46 (4), 24-37, 2010
22010
Bayesian Sparsification of Deep C-valued Networks
I Nazarov, E Burnaev
International Conference on Machine Learning, 7230-7242, 2020
2020
Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
R Rivera-Castro, I Nazarov, E Burnaev
arXiv preprint arXiv:2009.04359, 2020
2020
Bayesian Sparsification Methods for Deep Complex-valued Networks
I Nazarov, E Burnaev
arXiv preprint arXiv:2003.11413, 2020
2020
An industry case of large-scale demand forecasting of hierarchical components
R Rivera-Castro, I Nazarov, Y Xiang, I Maksimov, A Pletnev, E Burnaev
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
2019
Appendix B: Unified Gas Supply System: Maintenance and Expansion of Pipelines and Gas Storage
I Nazarov
Gazprom: An Energy Giant and Its Challenges in Europe, 255, 2016
2016
Appendix A: Oil Producers and Regional Distributors Are Also Independent Gas Producers
I Nazarov
Gazprom: An Energy Giant and Its Challenges in Europe, 251, 2016
2016
PROCEEDINGS-2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA 2016
E Burnaev, I Nazarov, F Ahmad, SA Khan, HAS Abujabal, A Abid, ...
Differentiation 540, 546, 2016
2016
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