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A. Bernstein

12 papers hereh-index 14680 citations62 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author9
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV4
  • cs.LG1
  • q-bio.NC1
  • stat.ML1
same name
  • A. Bernstein — 34 papers, h 45
  • A. Bernstein — 33 papers, h 29
  • A. Bernstein — 14 papers
  • A. Bernstein — 11 papers, h 25
  • A. Bernstein — 10 papers
  • A. Bernstein — 8 papers, h 25

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122022
most citedTangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps

27 citations · 53 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

Multivariate Wasserstein Functional Connectivity for Autism Screening

Oleg Kachan, Alexander Bernstein

Most approaches to the estimation of brain functional connectivity from the functional magnetic resonance imaging (fMRI) data rely on computing some measure of statistical dependen…

cs.CV2018

fMRI: preprocessing, classification and pattern recognition

Maxim Sharaev, Alexander Andreev, Alexey Artemov +5

As machine learning continues to gain momentum in the neuroscience community, we witness the emergence of novel applications such as diagnostics, characterization, and treatment ou…

cs.CV2018

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

Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva +5

We consider a problem of diagnostic pattern recognition/classification from neuroimaging data. We propose a common data analysis pipeline for neuroimaging-based diagnostic classifi…

cs.CV2017

Machine Learning in Appearance-based Robot Self-localization

Alexander Kuleshov, Alexander Bernstein, Evgeny Burnaev +1

An appearance-based robot self-localization problem is considered in the machine learning framework. The appearance space is composed of all possible images, which can be captured…

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