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Unimodal and multimodal regression results on the MIT dataset.

Unimodal and multimodal regression results on the MIT dataset.

<p>Accuracy and PCC values are tabulated as (<i>μ</i>±<i>σ</i>) values, with highest PCC achieved per trait denoted in <b>bold</b>.</p>

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Bibliographic Details
Main Author: Surbhi Madan (20576994) (author)
Other Authors: Monika Gahalawat (20576997) (author), Tanaya Guha (20577000) (author), Roland Goecke (16178273) (author), Ramanathan Subramanian (10443347) (author)
Published: 2025
Subjects:
Neuroscience
Science Policy
Plant Biology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
short term memory
second behavioral snippets
examining various long
empirical results confirm
also enabling explainability
utilize elementary head
motion units named
based fusion strategy
speech features </
action units </
multimodal behavioral cues
div >< p
effective trait prediction
>- specific traits
efficient trait predictions
head motion
trait prediction
specific behaviors
multiple trait
multimodal approaches
level fusion
fusing cues
friendly traits
explainable prediction
centered traits
slice </
personality </
interview </
three modalities
relative importance
plausible explanations
implementation code
highest pcc
additive attention
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