Y. Yanovich

Asymptotic Properties of Local Sampling on Manifold

Y. Yanovich, 2016 .

Automatic Bitcoin Address Clustering

Maxim Panov, Yury Yanovich, Dmitry Ermilov, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Statistical Learning via Manifold Learning

Alexander P. Kuleshov, Yury Yanovich, Alexander V. Bernstein, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Manifold Learning in Regression Tasks

Alexander P. Kuleshov, Yury Yanovich, Alexander V. Bernstein, 2015, SLDS.

Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension

Maxim Panov, Yury Yanovich, Marina Gomtsyan, 2019, ACML.

High-Dimensional Density Estimation for Data Mining Tasks

Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Machine Learning in Appearance-Based Robot Self-Localization

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning

Alexander P. Kuleshov, Yury Yanovich, Alexander V. Bernstein, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).