Temporal Affective Modeling
Temporal Affective Modeling is a computational framework within affective computing that explicitly captures and represents the dynamic evolution of affective states over time, distinguishing itself from static models by incorporating temporal dependencies and sequential patterns in emotional responses.
35
Publications
1.9K
Citations
130
Authors
70
Institutions
Publications per year
2017–2026
21
Parents
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130
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70

Beihang University
Beijing, China
2 h-index
8 publications
238 citations

University of Toronto
Toronto, Canada
2 h-index
1 publications
161 citations

University of Bath
Bath, United Kingdom
2 h-index
5 publications
98 citations
Rotterdam University of Applied Sciences
Rotterdam, Netherlands
2 h-index
2 publications
54 citations
Samsung (United Kingdom)
Chertsey, United Kingdom
1 h-index
2 publications
106 citations
National Institute of Mental Health
Bethesda, United States
1 h-index
8 publications
216 citations

Harbin Institute of Technology
Harbin, China
1 h-index
1 publications
104 citations
Complexity Science Hub
Vienna, Austria
1 h-index
3 publications
114 citations
1–8 of 70
TAC · 3 publications · 165 citations
3
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2 publications · 54 citations
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1 publications · 27 citations
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AMR · 1 publications · 74 citations
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Conference · 1 publications · 25 citations
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