Alexander P. Kuleshov

25 papers B 2C 6Journal 6Unranked 11

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles. Comput. Intell. Neurosci. Andrzej Cichocki, Alexander P. Kuleshov
2018	—	`conf`	Conformal prediction in manifold learning. COPA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	B	`conf`	Kernel Regression on Manifold Valued Data. DSAA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	—	`conf`	Manifold Learning Regression with Non-stationary Kernels. ANNPR Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2017	—	`conf`	High-Dimensional Density Estimation for Data Mining Tasks. ICDM Workshops Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich
2017	C	`conf`	Machine Learning in Appearance-Based Robot Self-Localization. ICMLA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich
2017	—	`conf`	Mobile Robot Localization via Machine Learning. MLDM Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2017	J	`jnl`	Mobile Robot Localization via Machine Learning. CoRR Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2017	J	`jnl`	Nonlinear multi-output regression on unknown input manifold. Ann. Math. Artif. Intell. Alexander P. Kuleshov, Alexander Bernstein
2016	—	`conf`	Extended Regression on Manifolds Estimation. COPA Alexander P. Kuleshov, Alexander V. Bernstein
2016	—	`conf`	Incremental Construction of Low-Dimensional Data Representations. ANNPR Alexander P. Kuleshov, Alexander V. Bernstein
2016	—	`conf`	Regression on High-Dimensional Inputs. ICDM Workshops Alexander P. Kuleshov, Alexander V. Bernstein
2016	—	`conf`	Statistical Learning on Manifold-Valued Data. MLDM Alexander P. Kuleshov, Alexander V. Bernstein
2015	C	`conf`	Data-Based Statistical Models of Data Networks. ICMLA Alexander P. Kuleshov, Alexander V. Bernstein, Yury Agalakov
2015	B	`conf`	Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning. DSAA Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
2015	C	`conf`	Locally isometric and conformal parameterization of image manifold. ICMV Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
2015	—	`conf`	Manifold Learning in Regression Tasks. SLDS Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
2015	C	`conf`	Statistical Learning via Manifold Learning. ICMLA Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
2014	C	`conf`	Dimensionality Reduction in Statistical Learning. ICMLA Alexander V. Bernstein, Alexander P. Kuleshov
2014	—	`conf`	Low-Dimensional Data Representation in Data Analysis. ANNPR Alexander V. Bernstein, Alexander P. Kuleshov
2014	—	`conf`	Manifold Learning in Data Mining Tasks. MLDM Alexander P. Kuleshov, Alexander V. Bernstein
2013	J	`jnl`	Manifold Learning: Generalization Ability and Tangent Proximity. Int. J. Softw. Informatics Alexander V. Bernstein, Alexander P. Kuleshov
2013	C	`conf`	Tangent bundle Manifold Learning for image analysis. ICMV Alexander P. Kuleshov, Alexander V. Bernstein
2012	J	`jnl`	Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps CoRR Alexander V. Bernstein, Alexander P. Kuleshov
2008	J	`jnl`	Optimal filtering of a random background in image processing problems. Probl. Inf. Transm. Alexander V. Bernstein, Alexander P. Kuleshov