Data Labeling

Data Labeling is the process of assigning meaningful categorical or descriptive tags to raw data instances in order to transform them into annotated datasets suitable for supervised machine learning.

208

Publications

20.1K

Citations

756

Authors

284

Institutions

Publications per year

2017–2026

154

Authors

756

  1. JW
    Jiannan Wang

    Tsinghua University, China

    3 publications · 96 citations

    3

    h-index

  2. CR
    Christopher Ré

    Stanford University, United States

    3 publications · 793 citations

    3

    h-index

  3. AM
    Andrew McCallum

    University of Massachusetts Amherst, United States

    3 publications · 132 citations

    3

    h-index

  4. HC
    Hung-Leng Chen

    National Taiwan University, Taiwan

    3 publications · 125 citations

    3

    h-index

  5. HR
    Henry R. Ehrenberg

    Stanford University, United States

    3 publications · 864 citations

    3

    h-index

1–5 of 756

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 465 citations

    11

    h-index

  2. IEEE Access

    10 publications · 320 citations

    11

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 1K citations

    4

    h-index

  4. Sensors

    4 publications · 147 citations

    4

    h-index

  5. Applied Sciences

    3 publications · 80 citations

    3

    h-index

1–5