Percentile Features

Percentile Features is a statistical aggregation feature that represents the value below which a specified percentage of observations in a data distribution fall, distinguishing it from other aggregation features by its focus on relative positional ranking within ordered data.

19

Publications

1.2K

Citations

57

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

57

  1. CD
    Claire Duvallet

    Massachusetts Institute of Technology, United States

    2 publications · 197 citations

    2

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  2. SM
    Sean M. Gibbons

    Institute for Systems Biology, United States

    2 publications · 197 citations

    2

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  3. EJ
    Eric J. Alm

    Massachusetts Institute of Technology, United States

    2 publications · 197 citations

    2

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  4. LL
    Liangyun Liu

    Chinese Academy of Sciences, China

    2 publications · 183 citations

    2

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  5. SX
    Shuai Xie

    Chinese Academy of Sciences, China

    2 publications · 183 citations

    2

    h-index

1–5 of 57

Venues

  1. Remote Sensing

    2 publications · 183 citations

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  2. Expert Systems with Applications

    1 publications · 26 citations

    1

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  3. The Annals of Statistics

    1 publications · 103 citations

    1

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  4. PLoS Computational Biology

    1 publications · 181 citations

    1

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  5. Multimedia Tools and Applications

    1 publications · 152 citations

    1

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1–5