Feature Acquisition

Feature Acquisition is a scholarly contribution in the field of distinctive features that introduces a novel method, model, framework, theory, construct, dataset, task, or metric uniquely designed to identify, extract, or operationalize distinguishing characteristics within a domain-specific context.

115

Publications

5.6K

Citations

331

Authors

149

Institutions

Publications per year

2017–2026

59

Authors

331

  1. FP
    Foster Provost

    New York University, United States

    6 publications · 310 citations

    6

    h-index

  2. MS
    Maytal Saar‐Tsechansky

    The University of Texas at Austin, United States

    5 publications · 298 citations

    5

    h-index

  3. PM
    Prem Melville

    IBM (United States), United States

    5 publications · 298 citations

    5

    h-index

  4. MS
    Majid Sarrafzadeh

    University of California, Los Angeles, United States

    3 publications · 47 citations

    3

    h-index

  5. LG
    Lise Getoor

    University of Maryland, College Park, United States

    3 publications · 76 citations

    3

    h-index

1–5 of 331

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 54 citations

    4

    h-index

  2. Computer-Aided Design

    3 publications · 395 citations

    3

    h-index

  3. Sensors

    2 publications · 22 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Access

    2 publications · 160 citations

    2

    h-index

1–5