Multi-objective Metric Selection

Multi-Objective Metric Selection is a formal methodology within metric selection that simultaneously optimizes multiple, often competing, evaluation criteria to identify a set of metrics that collectively provide a balanced and comprehensive assessment of system performance across diverse objectives.

19

Publications

602

Citations

72

Authors

43

Institutions

Publications per year

2017–2026

8

Authors

72

  1. RC
    Roberto Confalonieri

    University of Milan, Italy

    2 publications · 186 citations

    2

    h-index

  2. MA
    Marco Acutis

    University of Milan, Italy

    2 publications · 186 citations

    2

    h-index

  3. OU
    Olga Uryupina

    University of Trento, Italy

    1 publications · 14 citations

    1

    h-index

  4. AM
    Alan Marshall

    University of Liverpool, United Kingdom

    1 publications · 23 citations

    1

    h-index

  5. YS
    Yasmine S. Moemen

    Menoufia University, Egypt

    1 publications · 27 citations

    1

    h-index

1–5 of 72

Venues

  1. Journal of Systems and Software

    JSS · 3 publications · 125 citations

    3

    h-index

  2. Cluster Computing

    1 publications · 31 citations

    1

    h-index

  3. IEEE Access

    1 publications · 19 citations

    1

    h-index

  4. Biomass and Bioenergy

    1 publications · 29 citations

    1

    h-index

  5. IEEE Internet of Things Journal

    1 publications · 23 citations

    1

    h-index

1–5