Automatic Item Classification

Automatic Item Classification is a computational method within the domain of item classification that autonomously categorizes items into predefined classes using algorithmic decision rules derived from data-driven features.

26

Publications

593

Citations

86

Authors

33

Institutions

Publications per year

2017–2026

10

Authors

86

  1. MA
    Martin Arendasy

    University of Graz, Austria

    2 publications · 58 citations

    2

    h-index

  2. MS
    Markus Sommer

    University of Graz, Austria

    2 publications · 58 citations

    2

    h-index

  3. EN
    E. N. Platonov

    Moscow Aviation Institute, Russia

    1 publications · 14 citations

    1

    h-index

  4. AI
    Alessio Ishizaka

    University of Portsmouth, United Kingdom

    1 publications · 27 citations

    1

    h-index

  5. TS
    Thomas Sandholm

    Hewlett-Packard (United States), United States

    1 publications · 11 citations

    1

    h-index

1–5 of 86

Venues

  1. Neurocomputing

    2 publications · 25 citations

    2

    h-index

  2. Intelligence

    2 publications · 58 citations

    2

    h-index

  3. Dependability

    1 publications · 14 citations

    1

    h-index

  4. Psychological Review

    1 publications · 41 citations

    1

    h-index

  5. 1

    h-index

1–5