Artificial Intelligence Performance

Artificial Intelligence Performance is a scholarly contribution that represents a novel method, model, framework, theory, construct, dataset, task, or metric specifically designed to advance the capacity of artificial systems to generate, simulate, or execute human-like cognitive or creative behaviors within the domain of generative performance.

244

Publications

16.1K

Citations

760

Authors

399

Institutions

Publications per year

2017–2026

195

Authors

760

  1. JH
    José Hernández‐Orallo

    Universitat Politècnica de València, Spain

    9 publications · 342 citations

    9

    h-index

  2. FM
    Fernando Martínez‐Plumed

    Universitat Politècnica de València, Spain

    5 publications · 259 citations

    5

    h-index

  3. SÓ
    Seán Ó hÉigeartaigh

    University of Cambridge, United Kingdom

    3 publications · 140 citations

    3

    h-index

  4. AM
    Antonino Maniaci

    University of Catania, Italy

    3 publications · 145 citations

    3

    h-index

  5. BV
    Bas van Opheusden

    Princeton University, United States

    3 publications · 125 citations

    3

    h-index

1–5 of 760

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 2.1K citations

    14

    h-index

  2. SSRN Electronic Journal

    Repository · 5 publications · 819 citations

    6

    h-index

  3. IEEE Access

    3 publications · 281 citations

    4

    h-index

  4. European Archives of Oto-Rhino-Laryngology

    3 publications · 169 citations

    4

    h-index

  5. Radiology

    3 publications · 672 citations

    3

    h-index

1–5