Affective Benchmarking

Affective Benchmarking is a systematic evaluation framework within affective computing that establishes standardized criteria, datasets, or metrics to assess and compare the performance of models, methods, or theories in recognizing, interpreting, or generating affective states.

5

Publications

594

Citations

12

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

12

  1. MG
    Miguel Goulão

    Universidade Nova de Lisboa, Portugal

    1 publications · 22 citations

    1

    h-index

  2. IO
    Izabela Orlac

    Technicolor (Germany), Germany

    1 publications · 57 citations

    1

    h-index

  3. AB
    Alberto Betella

    Universitat Pompeu Fabra, Spain

    1 publications · 425 citations

    1

    h-index

  4. PG
    Philippe Guillotel

    Technicolor (France), France

    1 publications · 57 citations

    1

    h-index

  5. DS
    Dirk Schaefer

    Georgia Institute of Technology, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 12

Venues

  1. 1

    h-index

  2. PLoS ONE

    1 publications · 425 citations

    1

    h-index

1–2