Hidden Characteristics

Hidden Characteristics is an academic concept referring to a type of contribution within the domain of hidden information that consists of a novel method, model, framework, theory, construct, dataset, task, or metric specifically designed to uncover, represent, or reason about attributes or properties that are not directly observable in a given system or dataset.

40

Publications

3.2K

Citations

93

Authors

68

Institutions

Publications per year

2017–2026

12

Authors

93

  1. MH
    Martin Hellwig

    Max Planck Institute for Behavioral Economics, Germany

    3 publications · 74 citations

    3

    h-index

  2. BS
    Brian Street

    King's College London, United Kingdom

    2 publications · 98 citations

    2

    h-index

  3. NN
    Nava Nourdad

    University of Tabriz, Iran

    1 publications · 17 citations

    1

    h-index

  4. KS
    Ke Sun

    Dalian University of Technology, China

    1 publications · 31 citations

    1

    h-index

  5. LM
    Laurent Molinier

    Inserm, France

    1 publications · 37 citations

    1

    h-index

1–5 of 93

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 29 citations

    2

    h-index

  2. Genome Research

    GR · 1 publications · 20 citations

    1

    h-index

  3. Journal of Lightwave Technology

    1 publications · 38 citations

    1

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 1 publications · 18 citations

    1

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 115 citations

    1

    h-index

1–5