Threshold-based Filtering

Threshold-Based Filtering is a filtering method that belongs to the class of interactive filtering techniques, distinguished by its use of predefined threshold values to selectively include or exclude data elements based on the comparison of their associated metrics or scores against those thresholds.

77

Publications

5.1K

Citations

216

Authors

112

Institutions

Publications per year

2017–2026

22

Authors

216

  1. MC
    Ming-Syan Chen⋆

    National Taiwan University, Taiwan

    5 publications · 408 citations

    5

    h-index

  2. CL
    Cheng-Ru Lin

    National Taiwan University, Taiwan

    4 publications · 381 citations

    4

    h-index

  3. CL
    Chang-Hung Lee

    National Taiwan University, Taiwan

    4 publications · 381 citations

    4

    h-index

  4. HY
    Hengyong Yu

    University of Massachusetts Lowell, United States

    3 publications · 241 citations

    3

    h-index

  5. EJ
    Edward J. Coyle

    Purdue University West Lafayette, United States

    3 publications · 497 citations

    3

    h-index

1–5 of 216

Venues

  1. IEEE Transactions on Image Processing

    3 publications · 70 citations

    3

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  2. 3

    h-index

  3. PLoS ONE

    2 publications · 109 citations

    2

    h-index

  4. Applied Sciences

    2 publications · 77 citations

    2

    h-index

  5. Physics in Medicine and Biology

    2 publications · 226 citations

    2

    h-index

1–5