![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Alexander V. Bernstein
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
- [i13]Oleg Kachan, Alexander Bernstein:
Multivariate Wasserstein Functional Connectivity for Autism Screening. CoRR abs/2209.11703 (2022) - 2021
- [c37]Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov
, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Artificial Text Detection via Examining the Topology of Attention Maps. EMNLP (1) 2021: 635-649 - [i12]Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov
, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Artificial Text Detection via Examining the Topology of Attention Maps. CoRR abs/2109.04825 (2021) - 2020
- [c36]Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva
, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
:
Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) 2020: 229-241 - [c35]Ekaterina Kondrateva
, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
:
Domain shift in computer vision models for MRI data analysis: an overview. ICMV 2020: 116050H - [c34]Marina Pominova, Ekaterina Kondrateva
, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
:
Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV 2020: 116051Z - [i11]Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. CoRR abs/2006.15969 (2020) - [i10]Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Domain Shift in Computer Vision models for MRI data analysis: An Overview. CoRR abs/2010.07222 (2020) - [i9]Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR abs/2010.07233 (2020) - [i8]Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev:
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR abs/2010.10373 (2020)
2010 – 2019
- 2019
- [c33]Sergey Pavlov, Alexey Artemov
, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
:
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. ICMLA 2019: 1600-1605 - [c32]Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev
:
3D Deformable Convolutions for MRI Classification. ICMLA 2019: 1710-1716 - [c31]Ekaterina Kondrateva
, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev
, Alexander Bernstein, Irina Samotaeva
:
Machine learning models reproducibility and validation for MR images recognition. ICMV 2019: 114330Z - [c30]Alexander Bernstein, Eugeny Burnaev
, Maxim Sharaev, Ekaterina Kondrateva
, Oleg Kachan:
Topological data analysis in computer vision. ICMV 2019: 114332H - [i7]Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. CoRR abs/1911.01738 (2019) - [i6]Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev:
3D Deformable Convolutions for MRI classification. CoRR abs/1911.01898 (2019) - 2018
- [j4]Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin:
MRI brain imagery processing software in data analysis. Trans. Mass Data Anal. Images Signals 9(1): 3-17 (2018) - [c29]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
:
Manifold Learning Regression with Non-stationary Kernels. ANNPR 2018: 152-164 - [c28]Maxim Sharaev
, Alexander Andreev, Alexey Artemov
, Evgeny Burnaev
, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva
, Vladislav Gaskin, Alexander Bernstein:
Pattern Recognition Pipeline for Neuroimaging Data. ANNPR 2018: 306-319 - [c27]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Conformal prediction in manifold learning. COPA 2018: 234-253 - [c26]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
:
Kernel Regression on Manifold Valued Data. DSAA 2018: 120-129 - [c25]Maksim Sharaev, Alexey Artemov
, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev
, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev:
MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. DSAA 2018: 555-564 - [c24]Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov
, Evgeny Burnaev
, Igor Pronin, David Pitskhelauri, Alexander Bernstein:
Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. ICDM Workshops 2018: 292-298 - [c23]Marina Pominova, Alexey Artemov
, Maksim Sharaev, Ekaterina Kondrateva
, Alexander Bernstein, Evgeny Burnaev
:
Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. ICDM Workshops 2018: 299-307 - [c22]Maksim Sharaev, Alexey Artemov
, Ekaterina Kondrateva
, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev
:
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops 2018: 308-314 - [c21]Aleksander Kuleshov, Alexander Bernstein, Yury Yanovich:
Geometrically Motivated Nonstationary Kernel Density Estimation on Manifold. ISAIM 2018 - [c20]Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin:
MRI brain imagery processing software in data analysis. MDA 2018: 61-74 - [c19]Alexander V. Bernstein, Evgeny Burnaev
, Oleg N. Kachan:
Reinforcement Learning for Computer Vision and Robot Navigation. MLDM (2) 2018: 258-272 - [i5]Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov:
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. CoRR abs/1804.10163 (2018) - [i4]Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov:
fMRI: preprocessing, classification and pattern recognition. CoRR abs/1804.10167 (2018) - 2017
- [j3]Alexander P. Kuleshov, Alexander Bernstein:
Nonlinear multi-output regression on unknown input manifold. Ann. Math. Artif. Intell. 81(1-2): 209-240 (2017) - [c18]Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov:
Conformal k-NN Anomaly Detector for Univariate Data Streams. COPA 2017: 213-227 - [c17]Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich
:
High-Dimensional Density Estimation for Data Mining Tasks. ICDM Workshops 2017: 523-530 - [c16]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
, Yury Yanovich
:
Machine Learning in Appearance-Based Robot Self-Localization. ICMLA 2017: 106-112 - [c15]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
:
Mobile Robot Localization via Machine Learning. MLDM 2017: 276-290 - [i3]Vladislav Ishimtsev, Ivan Nazarov, Alexander Bernstein, Evgeny Burnaev:
Conformal k-NN Anomaly Detector for Univariate Data Streams. CoRR abs/1706.03412 (2017) - [i2]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Mobile Robot Localization via Machine Learning. CoRR abs/1707.03469 (2017) - 2016
- [c14]Alexander P. Kuleshov, Alexander V. Bernstein:
Incremental Construction of Low-Dimensional Data Representations. ANNPR 2016: 55-67 - [c13]Alexander P. Kuleshov, Alexander V. Bernstein:
Extended Regression on Manifolds Estimation. COPA 2016: 208-228 - [c12]Alexander P. Kuleshov, Alexander V. Bernstein:
Regression on High-Dimensional Inputs. ICDM Workshops 2016: 732-739 - [c11]Alexander Bernstein:
Machine vision and appearance based learning. ICMV 2016: 103411O - [c10]Alexander P. Kuleshov, Alexander V. Bernstein:
Statistical Learning on Manifold-Valued Data. MLDM 2016: 311-325 - 2015
- [c9]Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
:
Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning. DSAA 2015: 1-9 - [c8]Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
:
Statistical Learning via Manifold Learning. ICMLA 2015: 64-69 - [c7]Alexander P. Kuleshov, Alexander V. Bernstein, Yury Agalakov:
Data-Based Statistical Models of Data Networks. ICMLA 2015: 433-438 - [c6]Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
:
Locally isometric and conformal parameterization of image manifold. ICMV 2015: 987507 - [c5]Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
:
Manifold Learning in Regression Tasks. SLDS 2015: 414-423 - 2014
- [c4]Alexander V. Bernstein, Alexander P. Kuleshov:
Low-Dimensional Data Representation in Data Analysis. ANNPR 2014: 47-58 - [c3]Alexander V. Bernstein, Alexander P. Kuleshov
:
Dimensionality Reduction in Statistical Learning. ICMLA 2014: 330-335 - [c2]Alexander P. Kuleshov, Alexander V. Bernstein:
Manifold Learning in Data Mining Tasks. MLDM 2014: 119-133 - 2013
- [j2]Alexander V. Bernstein, Alexander P. Kuleshov:
Manifold Learning: Generalization Ability and Tangent Proximity. Int. J. Softw. Informatics 7(3): 359-390 (2013) - [c1]Alexander P. Kuleshov
, Alexander V. Bernstein:
Tangent bundle Manifold Learning for image analysis. ICMV 2013: 906720 - 2012
- [i1]Alexander V. Bernstein, Alexander P. Kuleshov:
Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps. CoRR abs/1212.6031 (2012)
2000 – 2009
- 2008
- [j1]Alexander V. Bernstein, Alexander P. Kuleshov
:
Optimal filtering of a random background in image processing problems. Probl. Inf. Transm. 44(3): 233-242 (2008)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 05:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint