Decision Boundary Visualization
Decision Boundary Visualization is a visual representation technique in machine learning that delineates the regions in feature space where a classification model assigns different class labels, thereby exposing the implicit structure and generalization behavior of the decision-making process.
15
Publications
350
Citations
34
Authors
14
Institutions
Publications per year
2017–2026
11
Parents
15
Multi-Class Disturbance Events Recognition Based on EMD and XGBoost in φ-OTDR
Zhandong Wang, Lou Shu-Qin, Sheng Liang et al. · IEEE Access · 2020 · 66 citations · Full text
Constructing and Visualizing High-Quality Classifier Decision Boundary Maps
Francisco Rodrigues, Mateus Espadoto, Roberto Hirata et al. · Information · 2019 · 36 citations · Full text
Visualizing bagged decision trees
J. Sunil Rao, William John Potts · Knowledge Discovery and Data Mining · 1997 · 28 citations
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14

University of Groningen
Groningen, The Netherlands
3 h-index
3 publications
90 citations
Universidade de São Paulo
São Paulo, Brazil
3 h-index
5 publications
144 citations
SAS Institute (United States)
Cary, United States
2 h-index
3 publications
50 citations
Bielefeld University
Bielefeld, Germany
1 h-index
3 publications
54 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
1 publications
36 citations
Universiti Teknologi MARA System
Shah Alam, Malaysia
1 h-index
5 publications
65 citations
Arizona State University
Tempe, United States
1 h-index
2 publications
42 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
4 publications
44 citations
1–8 of 14
TVCG · 1 publications · 21 citations
2
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Conference · 1 publications · 28 citations
1
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1 publications · 47 citations
1
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Repository · 1 publications · 24 citations
1
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1 publications · 11 citations
1
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