Probabilistic Carving

Probabilistic Carving is a data carving method that distinguishes itself by incorporating probabilistic models to guide the extraction or segmentation of relevant data subsets based on likelihood estimates.

3

Publications

259

Citations

17

Authors

3

Institutions

Publications per year

2017–2026

1

Authors

17

  1. RC
    Roberto Cipolla

    University of Cambridge, United Kingdom

    2 publications · 243 citations

    2

    h-index

  2. BG
    Baskar Ganapathysubramanian

    Iowa State University, United States

    1 publications · 16 citations

    1

    h-index

  3. TD
    Tom Drummond

    University of Cambridge, United Kingdom

    1 publications · 227 citations

    1

    h-index

  4. JF
    Jiale Feng

    Iowa State University, United States

    1 publications · 16 citations

    1

    h-index

  5. AJ
    Anushrut Jignasu

    Iowa State University, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 17

Institutions

3

  1. University of Cambridge

    Cambridge, United Kingdom

    2 h-index

    5 publications

    713 citations

  2. Georgia Institute of Technology

    Atlanta, United States

    1 h-index

    2 publications

    32 citations

  3. Iowa State University

    Ames, United States

    1 h-index

    11 publications

    176 citations

1–3 of 3

Venues

  1. Computers and Electronics in Agriculture

    1 publications · 16 citations

    1

    h-index

1–1