Model-guided Exploration

Model-Guided Exploration is a visual data exploration strategy that systematically directs user interaction and insight discovery through the integration of an explicitly defined computational or statistical model, distinguishing it from ad-hoc or purely interactive exploration methods by grounding the exploration process in model-derived predictions, constraints, or structures.

59

Publications

3.1K

Citations

217

Authors

103

Institutions

Publications per year

2017–2026

26

Authors

217

  1. DC
    David Choffnes

    Northeastern University, United States

    2 publications · 44 citations

    2

    h-index

  2. MS
    Manoj Srinivasan

    The Ohio State University, United States

    2 publications · 45 citations

    2

    h-index

  3. AM
    Andreas M. Brandmaier

    Max Planck Institute for Human Development, Germany

    2 publications · 282 citations

    2

    h-index

  4. JJ
    John J. McArdle

    University of Southern California, United States

    2 publications · 282 citations

    2

    h-index

  5. AM
    Alan Mislove

    Northeastern University, United States

    2 publications · 44 citations

    2

    h-index

1–5 of 217

Venues

  1. Nature Communications

    3 publications · 259 citations

    3

    h-index

  2. Chemical Science

    2 publications · 400 citations

    2

    h-index

  3. Psychological Methods

    2 publications · 282 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 12 citations

    2

    h-index

  5. Business & Information Systems Engineering

    BISE · 1 publications · 19 citations

    1

    h-index

1–5