Representative Examples Selection

Representative Examples Selection is a content selection strategy that involves identifying and prioritizing instances within a dataset or corpus that exemplify the central characteristics or variations of a phenomenon under study, thereby enabling efficient and accurate generalization in academic analysis.

116

Publications

16.5K

Citations

368

Authors

170

Institutions

Publications per year

2017–2026

36

Authors

368

  1. YG
    Yunjun Gao

    Zhejiang University, China

    2 publications · 55 citations

    2

    h-index

  2. AD
    Alexiei Dingli

    University of Malta, Malta

    2 publications · 29 citations

    2

    h-index

  3. NG
    Nicolás García‐Pedrajas

    University of Córdoba, Spain

    2 publications · 98 citations

    2

    h-index

  4. VA
    Véronique Achard

    Office National d'Études et de Recherches Aérospatiales, France

    2 publications · 96 citations

    2

    h-index

  5. FD
    Fadi Dornaika

    University of the Basque Country, Spain

    2 publications · 50 citations

    2

    h-index

1–5 of 368

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 99 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 103 citations

    3

    h-index

  3. Pattern Recognition

    2 publications · 96 citations

    2

    h-index

  4. 2

    h-index

  5. Archives of Dermatology

    2 publications · 22 citations

    2

    h-index

1–5