Batch Labeling

Batch Labeling is a singular academic contribution, typically manifesting as a method, model, framework, theory, construct, dataset, task, or metric, that is formally introduced and situated within the scholarly discourse on Semen Labeling to address the systematic annotation of semen-related data by grouping specimens into discrete, traceable units for consistent identification and analysis.

1

Publications

42

Citations

13

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

13

  1. KB
    Kristina Brimijoin

    IBM Research - Austin, United States

    1 publications · 42 citations

    1

    h-index

  2. CT
    Christine T. Wolf

    IBM Research - Almaden, United States

    1 publications · 42 citations

    1

    h-index

  3. NN
    Narendra Nath Joshi

    IBM (United States), United States

    1 publications · 42 citations

    1

    h-index

  4. JA
    Josh Andrés

    Monash University, Australia

    1 publications · 42 citations

    1

    h-index

  5. MB
    Michelle Brachman

    Cambridge Scientific (United States), United States

    1 publications · 42 citations

    1

    h-index

1–5 of 13

Venues

  1. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 1 publications · 42 citations

    1

    h-index

1–1