Saliency Visualization
Saliency Visualization is a computational method that belongs to the class of interpretability techniques in artificial intelligence, specifically distinguished by its ability to highlight the most influential input features or regions in a model’s decision-making process to enhance transparency and pedagogical explainability in tutoring systems.
11
Publications
433
Citations
39
Authors
18
Institutions
Publications per year
2017–2026
8
Parents
11
Visualization of neural networks using saliency maps
Niels J.S. Mørch, Ulrik Kjems, Lars Kai Hansen et al. · 2002 · 57 citations · Full text
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39
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18

University of Waterloo
Waterloo, Canada
2 h-index
4 publications
164 citations
University of Guelph
Guelph, Canada
2 h-index
2 publications
82 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
210 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
1 h-index
5 publications
50 citations

University of Minnesota
Minneapolis, United States
1 h-index
2 publications
114 citations

Rice University
Houston, United States
1 h-index
2 publications
112 citations
National Taiwan Normal University
Taipei, Taiwan
1 h-index
4 publications
44 citations
Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
3 publications
171 citations
1–8 of 18
Repository · 3 publications · 119 citations
3
h-index
1 publications · 10 citations
1
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TVCG · 1 publications · 105 citations
1
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PACMHCI · 1 publications · 36 citations
1
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1 publications · 11 citations
1
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