A. Bernstein

发表

Data-based Manifold Reconstruction via Tangent Bundle Manifold Learning

A. Bernstein, 2014 .

3D Deformable Convolutions for MRI Classification

A. Bernstein, Evgeny Burnaev, M. Sharaev, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Nonlinear multi-output regression on unknown input manifold

Alexander P. Kuleshov, A. Bernstein, 2017, Annals of Mathematics and Artificial Intelligence.

Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods

M. Gelfand, A. Bernstein, Evgeny Burnaev, 2021, bioRxiv.

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics

Andrzej Cichocki, Evgeny Burnaev, Alexander Bernstein, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Extended Regression on Manifolds Estimation

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2016, COPA.

Kernel Regression on Manifold Valued Data

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Manifold Learning Regression with Non-stationary Kernels

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, ANNPR.

Statistical Learning on Manifold-Valued Data

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2016, MLDM.

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.

Mobile Robot Localization via Machine Learning

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2017, MLDM.

Machine vision and appearance based learning

Alexander Bernstein, A. Bernstein, 2017, International Conference on Machine Vision.

Cognitive technologies in adaptive models of complex plants

Alexander Kuleshov, Alexander Bernstein, Alexander P. Kuleshov, 2009 .

Artificial Text Detection via Examining the Topology of Attention Maps

A. Bernstein, D. Piontkovski, Evgeny Burnaev, 2021, EMNLP.

Manifold Modeling in Machine Learning

A. Bernstein, E. Burnaev, 2021, Journal of Communications Technology and Electronics.

Manifold Modeling in Machine Learning

A. Bernstein, E. Burnaev, 2021, Journal of Communications Technology and Electronics.

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Conformal prediction in manifold learning

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, COPA.

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).

Manifold Learning: Generalization Ability and Tangent Proximity

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2013, Int. J. Softw. Informatics.

Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps pdf

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2012, ArXiv.

Domain shift in computer vision models for MRI data analysis: an overview

A. Bernstein, M. Sharaev, Evgeny Burnaev, 2020, International Conference on Machine Vision.

Pattern Recognition Pipeline for Neuroimaging Data

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, ANNPR.

Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry pdf

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, ArXiv.

fMRI: preprocessing, classification and pattern recognition pdf

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, ArXiv.

MRI brain imagery processing software in data analysis

Alexander Bernstein, Ekaterina Kondrateva, Svetlana Sushchinskaya, 2018, Trans. Mass Data Anal. Images Signals.

Manifold learning in machine vision and robotics

Alexander Bernstein, A. Bernstein, 2017, International Conference on Machine Vision.

Fader networks for domain adaptation on fMRI: ABIDE-II study

A. Bernstein, M. Sharaev, Evgeny Burnaev, 2020, International Conference on Machine Vision.

Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1

A. Bernstein, M. Sharaev, R. Hamoudi, 2023, Neurobiology of Stress.

Topological data analysis in computer vision

Alexander Bernstein, Maxim Sharaev, Eugeny Burnaev, 2020, International Conference on Machine Vision.

Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers

A. Bernstein, M. Sharaev, Evgeny Burnaev, 2022, PloS one.

Reinforcement Learning for Computer Vision and Robot Navigation

Evgeny Burnaev, Alexander V. Bernstein, O. N. Kachan, 2018, MLDM.

Reinforcement learning in computer vision

Evgeny Burnaev, Alexander Bernstein, A. Bernstein, 2018, International Conference on Machine Vision.

Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1

A. Bernstein, M. Sharaev, R. Hamoudi, 2023, Neurobiology of Stress.

Conformal k-NN Anomaly Detector for Univariate Data Streams

Evgeny Burnaev, Alexander Bernstein, Vladislav Ishimtsev, 2017, COPA.

Manifold Learning in Data Mining Tasks

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2014, MLDM.

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia pdf

Evgeny Burnaev, Alexander Bernstein, Ekaterina Kondrateva, 2020, Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics.

Manifold Learning: Generalization Ability and Tangent Proximity

Alexander P. Kuleshov, Bernstein Alexander, Kuleshov Alexander Petrovich, 2013, Int. J. Softw. Informatics.