Uncertainty-aware Exploration

Uncertainty-Aware Exploration is an interactive data exploration framework that explicitly integrates quantified uncertainty into the visual and computational components of the exploration process to guide user decisions and improve interpretation accuracy.

36

Publications

3.5K

Citations

197

Authors

56

Institutions

Publications per year

2017–2026

22

Authors

197

  1. ES
    Eric Schulz

    University College London, United Kingdom

    5 publications · 347 citations

    5

    h-index

  2. CM
    Charley M. Wu

    Max Planck Institute for Human Development, Germany

    4 publications · 228 citations

    4

    h-index

  3. KE
    Kamak Ebadi

    Jet Propulsion Laboratory, United States

    3 publications · 176 citations

    3

    h-index

  4. BR
    Benjamin Ramtoula

    Polytechnique Montréal, Canada

    3 publications · 176 citations

    3

    h-index

  5. EH
    Eric Heiden

    University of Southern California, United States

    3 publications · 176 citations

    3

    h-index

1–5 of 197

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 372 citations

    3

    h-index

  2. 2

    h-index

  3. Developmental Science

    2 publications · 193 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Cognitive Neuroscience

    1 publications · 15 citations

    1

    h-index

1–5