Optimal filtering of a random background in image processing problems. - Alexander V. Bernstein; Alexander P. Kuleshov (Probl. Inf. Transm., 2008)

Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps - Alexander V. Bernstein; Alexander P. Kuleshov (CoRR, 2012)

Tangent bundle Manifold Learning for image analysis. - Alexander P. Kuleshov; Alexander V. Bernstein (ICMV, 2013)

Manifold Learning: Generalization Ability and Tangent Proximity. - Alexander V. Bernstein; Alexander P. Kuleshov (Int. J. Softw. Informatics, 2013)

Low-Dimensional Data Representation in Data Analysis. - Alexander V. Bernstein; Alexander P. Kuleshov (ANNPR, 2014)

Dimensionality Reduction in Statistical Learning. - Alexander V. Bernstein; Alexander P. Kuleshov (ICMLA, 2014)

Manifold Learning in Data Mining Tasks. - Alexander P. Kuleshov; Alexander V. Bernstein (MLDM, 2014)

Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning. - Alexander V. Bernstein; Alexander P. Kuleshov; Yury Yanovich (DSAA, 2015)

Statistical Learning via Manifold Learning. - Alexander V. Bernstein; Alexander P. Kuleshov; Yury Yanovich (ICMLA, 2015)

Data-Based Statistical Models of Data Networks. - Alexander P. Kuleshov; Alexander V. Bernstein; Yury Agalakov (ICMLA, 2015)

Locally isometric and conformal parameterization of image manifold. - Alexander V. Bernstein; Alexander P. Kuleshov; Yury Yanovich (ICMV, 2015)

Manifold Learning in Regression Tasks. - Alexander V. Bernstein; Alexander P. Kuleshov; Yury Yanovich (SLDS, 2015)

Incremental Construction of Low-Dimensional Data Representations. - Alexander P. Kuleshov; Alexander V. Bernstein (ANNPR, 2016)

Extended Regression on Manifolds Estimation. - Alexander P. Kuleshov; Alexander V. Bernstein (COPA, 2016)

Regression on High-Dimensional Inputs. - Alexander P. Kuleshov; Alexander V. Bernstein (ICDM Workshops, 2016)

Statistical Learning on Manifold-Valued Data. - Alexander P. Kuleshov; Alexander V. Bernstein (MLDM, 2016)

High-Dimensional Density Estimation for Data Mining Tasks. - Alexander P. Kuleshov; Alexander Bernstein; Yury Yanovich (ICDM Workshops, 2017)

Machine Learning in Appearance-Based Robot Self-Localization. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev; Yury Yanovich (ICMLA, 2017)

Mobile Robot Localization via Machine Learning. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (MLDM, 2017)

Nonlinear multi-output regression on unknown input manifold. - Alexander P. Kuleshov; Alexander Bernstein (Ann. Math. Artif. Intell., 2017)

Manifold Learning Regression with Non-stationary Kernels. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (ANNPR, 2018)

Conformal prediction in manifold learning. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (COPA, 2018)

Kernel Regression on Manifold Valued Data. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (DSAA, 2018)

Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles. - Andrzej Cichocki; Alexander P. Kuleshov (Comput. Intell. Neurosci., 2021)