Custom Benchmark Design

Custom Benchmark Design is a scholarly contribution that constitutes a novel, purpose-built evaluation framework or artifact—such as a dataset, task, metric, model, or method—specifically crafted to assess performance within a targeted research domain, thereby differentiating it from general or off-the-shelf benchmarks by its tailored construction and contextual applicability.

10

Publications

269

Citations

33

Authors

17

Institutions

Publications per year

2017–2026

4

Authors

33

  1. IG
    Ian Gorton

    Pacific Northwest National Laboratory, United States

    1 publications · 17 citations

    1

    h-index

  2. JT
    John Tinnerholm

    Linköping University, Sweden

    1 publications · 12 citations

    1

    h-index

  3. EW
    Erik Wittern

    IBM Research - Thomas J. Watson Research Center, United States

    1 publications · 14 citations

    1

    h-index

  4. RC
    Robert Cole

    Johns Hopkins University Applied Physics Laboratory, United States

    1 publications · 34 citations

    1

    h-index

  5. TF
    Tony Feng

    Beijing Institute of Genomics, China

    1 publications · 12 citations

    1

    h-index

1–5 of 33

Venues

  1. Big Data and Cognitive Computing

    1 publications · 15 citations

    1

    h-index

  2. Computers in Industry

    1 publications · 14 citations

    1

    h-index

  3. The Journal of Portfolio Management

    JPM · 1 publications · 12 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 17 citations

    1

    h-index

1–5