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V. Makarenkov

15 papers hereh-index 366.8k citations139 works total

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

author position
  • first author1
  • middle author4
  • last author9

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • q-bio.PE3
  • cs.CV1
  • eess.IV1
  • q-bio.QM1
same name
  • V. Makarenkov — 1 paper, h 0

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
20162026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 2.8k across the 15 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2024

BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging

Zeinab Sherkatghanad, Moloud Abdar, Mohammadreza Bakhtyari +2

Test-time augmentation (TTA) is a well-known technique employed during the testing phase of computer vision tasks. It involves aggregating multiple augmented versions of input data…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.