High-dimensional Stability Analysis

High-Dimensional Stability Analysis is a methodological framework within feature stability analysis that specifically addresses the identification and assessment of stable features in high-dimensional data spaces, where the number of features significantly exceeds the number of observations.

20

Publications

1.1K

Citations

66

Authors

31

Institutions

Publications per year

2017–2026

4

Authors

66

  1. FD
    Filip Du Prez

    Ghent University, Belgium

    1 publications · 25 citations

    1

    h-index

  2. SM
    S. Mizumaki

    Toshiba (Japan), Japan

    1 publications · 26 citations

    1

    h-index

  3. HJ
    Henrik Jeldtoft Jensen

    Imperial College London, United Kingdom

    1 publications · 10 citations

    1

    h-index

  4. TU
    Tatsuro Uchida

    Tokyo Medical and Dental University, Japan

    1 publications · 26 citations

    1

    h-index

  5. YZ
    Yang Zhang

    Beijing Forestry University, China

    1 publications · 46 citations

    1

    h-index

1–5 of 66

Venues

  1. Wood and Fiber Science (Society of Wood Science and Technology)

    Repository · 2 publications · 82 citations

    2

    h-index

  2. Information Processing Letters

    1 publications · 21 citations

    1

    h-index

  3. Knowledge and Information Systems

    1 publications · 611 citations

    1

    h-index

  4. 1

    h-index

  5. ACS Nano

    1 publications · 133 citations

    1

    h-index

1–5