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Decreasing Annotation Burden of Pairwise Comparisons with
  Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

10 February 2022
Ikbeom Jang
Garrison Danley
Ken Chang
Jayashree Kalpathy-Cramer
ArXivPDFHTML

Papers citing "Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating"

2 / 2 papers shown
Title
Active Preference Learning for Ordering Items In- and Out-of-sample
Active Preference Learning for Ordering Items In- and Out-of-sample
Herman Bergström
Emil Carlsson
Devdatt Dubhashi
Fredrik D. Johansson
42
0
0
05 May 2024
Crowdsourcing subjective annotations using pairwise comparisons reduces
  bias and error compared to the majority-vote method
Crowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method
Hasti Narimanzadeh
Arash Badie-Modiri
Iuliia Smirnova
T. H. Chen
14
11
0
31 May 2023
1