Rule-based Pattern Generation

Rule-Based Pattern Generation is a pattern generation method that systematically produces structured outputs through the application of predefined, deterministic rules that specify the relationships and constraints among elements in the generated patterns.

59

Publications

2.7K

Citations

175

Authors

92

Institutions

Publications per year

2017–2026

8

Authors

175

  1. TC
    Terry Caelli

    University of Alberta, Canada

    2 publications · 61 citations

    2

    h-index

  2. FG
    Fei Gao

    Northwestern Polytechnical University, China

    2 publications · 67 citations

    2

    h-index

  3. WF
    Walter F. Bischof

    University of Alberta, Canada

    2 publications · 61 citations

    2

    h-index

  4. WB
    Wenhao Bi

    Northwestern Polytechnical University, China

    2 publications · 67 citations

    2

    h-index

  5. RS
    Rudy Setiono

    National University of Singapore, Singapore

    2 publications · 165 citations

    2

    h-index

1–5 of 175

Venues

  1. Expert Systems with Applications

    3 publications · 72 citations

    3

    h-index

  2. Applied Soft Computing

    2 publications · 168 citations

    2

    h-index

  3. European Journal of Operational Research

    2 publications · 71 citations

    2

    h-index

  4. Pattern Recognition Letters

    2 publications · 130 citations

    2

    h-index

  5. International Journal of Approximate Reasoning

    2 publications · 355 citations

    2

    h-index

1–5