Bias Visualization
Bias Visualization is a methodological contribution within error visualization that specifically represents systematic deviations between model predictions and ground truth, distinguished by its focus on uncovering consistent, directional inaccuracies indicative of underlying model or data biases.
26
Publications
6.1K
Citations
75
Authors
32
Institutions
Publications per year
2017–2026
21
Parents
26
1–5 of 26
75
3
h-index
2
h-index
2
h-index
2
h-index
Centre National de la Recherche Scientifique, France
2 publications · 212 citations
2
h-index
1–5 of 75
32
Georgia Institute of Technology
Atlanta, United States
4 h-index
18 publications
1.4K citations
University of Washington
Seattle, United States
3 h-index
17 publications
384 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
5 publications
575 citations

Sorbonne Université
Paris, France
2 h-index
3 publications
273 citations
Université Paris-Sud
Orsay, France
2 h-index
3 publications
273 citations
Université Paris-Saclay
Gif-sur-Yvette, France
2 h-index
2 publications
212 citations
Northwestern University
Evanston, United States
2 h-index
2 publications
212 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
21 citations
1–8 of 32
TVCG · 4 publications · 266 citations
4
h-index
Repository · 2 publications · 199 citations
2
h-index
1 publications · 74 citations
1
h-index
1 publications · 77 citations
1
h-index
1 publications · 21 citations
1
h-index
1–5