Exposure-based Coverage Modeling

Exposure-Based Coverage Modeling is a methodological framework in coverage selection that characterizes the extent and distribution of observable instances or data points based on their exposure probability, distinguishing it from alternative coverage approaches by explicitly modeling the mechanisms governing visibility or detection likelihood.

4

Publications

941

Citations

16

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

16

  1. LH
    Liusheng Huang

    University of Science and Technology of China, China

    1 publications · 11 citations

    1

    h-index

  2. NT
    Nguyen Thi My Binh

    Hanoi University of Industry, Vietnam

    1 publications · 27 citations

    1

    h-index

  3. MP
    Miodrag Potkonjak

    University of California, Los Angeles, United States

    1 publications · 760 citations

    1

    h-index

  4. FK
    Farinaz Koushanfar

    Rice University, United States

    1 publications · 760 citations

    1

    h-index

  5. HL
    Hong Li

    University of Science and Technology of China, China

    1 publications · 11 citations

    1

    h-index

1–5 of 16

Venues

  1. Journal of Computer Science and Technology

    1 publications · 11 citations

    1

    h-index

  2. Applied Soft Computing

    1 publications · 27 citations

    1

    h-index

1–2