Human-readable Labels

Human-Readable Labels is a type of serialization labeling that consists of textual or symbolic identifiers designed for direct interpretation and comprehension by human users, distinguished by their explicit readability and usability without the need for decoding mechanisms or specialized tools.

14

Publications

798

Citations

41

Authors

18

Institutions

Publications per year

2017–2026

6

Authors

41

  1. DB
    David Bau

    Massachusetts Institute of Technology, United States

    3 publications · 385 citations

    3

    h-index

  2. AT
    Antonio Torralba

    Massachusetts Institute of Technology, United States

    3 publications · 385 citations

    3

    h-index

  3. AO
    Aude Oliva

    Massachusetts Institute of Technology, United States

    3 publications · 385 citations

    3

    h-index

  4. BZ
    Bolei Zhou

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 385 citations

    3

    h-index

  5. CM
    Chenlin Meng

    Stanford University, United States

    2 publications · 44 citations

    2

    h-index

1–5 of 41

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 62 citations

    2

    h-index

  2. Journal of Vision

    1 publications · 13 citations

    1

    h-index

  3. Health Informatics Journal

    1 publications · 13 citations

    1

    h-index

  4. American Pharmacy

    1 publications · 34 citations

    1

    h-index

  5. Nature Communications

    1 publications · 17 citations

    1

    h-index

1–5