Model Confidence Visualization
Model Confidence Visualization is a computational framework that visually represents the degree of certainty or uncertainty associated with the predictions of a machine learning model, distinguishing itself from other visualization techniques by explicitly encoding model confidence through perceptual visual variables.
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Publications
88
Citations
16
Authors
6
Institutions
Publications per year
2017–2026
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An Interactive Approach to Bias Mitigation in Machine Learning
Hao Wang, Snehasis Mukhopadhyay, Yunyu Xiao et al. · 2021 · 11 citations · Full text
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Technical University of Munich
Munich, Germany
1 h-index
10 publications
190 citations
Northwestern University
Evanston, United States
1 h-index
2 publications
138 citations
Universitätsklinikum Tübingen
Tübingen, Germany
1 h-index
2 publications
38 citations
University Hospital Ulm
Ulm, Germany
1 h-index
1 publications
19 citations
University of California, Merced
Merced, United States
1 h-index
2 publications
138 citations
TUM Klinikum
Munich, Germany
1 h-index
8 publications
152 citations
Indiana University
Bloomington, United States
1 publications
11 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
1 publications
11 citations
1–8 of 6
1 publications · 19 citations
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1 publications · 69 citations
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