Tolerance Visualization

Tolerance Visualization is a methodological framework within error visualization that specifically represents the allowable deviation or acceptable bounds of error in data, models, or systems, distinguishing itself by focusing on the thresholds of correctness rather than the magnitude or distribution of errors.

2

Publications

38

Citations

5

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

5

  1. CM
    Colin Milberg

    University of California, Berkeley, United States

    1 publications · 21 citations

    1

    h-index

  2. TD
    Thaís da C. L. Alves

    San Diego State University, United States

    1 publications · 21 citations

    1

    h-index

  3. AR
    Ana Rosa Borges

    Polytechnic Institute of Coimbra, Portugal

    1 publications · 17 citations

    1

    h-index

  4. CH
    Carlos Henggeler Antunes

    University of Coimbra, Portugal

    1 publications · 17 citations

    1

    h-index

  5. ID
    Iris D. Tommelein

    University of California, Berkeley, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 5

Venues

  1. European Journal of Operational Research

    1 publications · 17 citations

    1

    h-index

  2. Chalmers Publication Library (Chalmers University of Technology)

    Repository · 1 publications · 10 citations

1–2