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
Parents
5
1–5 of 5
12
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8
UNESCO
Paris, France
1 h-index
1 publications
22 citations
Institució Catalana de Recerca i Estudis Avançats
Barcelona, Spain
1 h-index
1 publications
425 citations
Technicolor (Germany)
Frankfurt am Main, Germany
1 h-index
3 publications
171 citations
University of Bari Aldo Moro
Bari, Italy
1 h-index
3 publications
198 citations
Institute for Systems Engineering and Computers
Lisbon, Portugal
1 h-index
1 publications
22 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
24 citations

Universitat Pompeu Fabra
Barcelona, Spain
1 h-index
2 publications
850 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
3 publications
72 citations
1–8 of 8
JCISE · 1 publications · 24 citations
1
h-index
1 publications · 425 citations
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1–2