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

Authors

34

  1. AT
    Alexandru Telea

    University of Groningen, Netherlands

    2 publications · 54 citations

    3

    h-index

  2. RH
    Roberto Hirata

    Universidade de São Paulo, Brazil

    2 publications · 54 citations

    2

    h-index

  3. ME
    Mateus Espadoto

    Universidade de São Paulo, Brazil

    1 publications · 36 citations

    2

    h-index

  4. FR
    Francisco Rodrigues

    Universidade de São Paulo, Brazil

    1 publications · 36 citations

    2

    h-index

  5. EC
    Eric C.C. Tsang

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 11 citations

    1

    h-index

1–5 of 34

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 21 citations

    2

    h-index

  2. Knowledge Discovery and Data Mining

    Conference · 1 publications · 28 citations

    1

    h-index

  3. Data Mining and Knowledge Discovery

    1 publications · 47 citations

    1

    h-index

  4. 1

    h-index

  5. ACM SIGKDD Explorations Newsletter

    1 publications · 11 citations

    1

    h-index

1–5