The paper proposes to recognize real personality traits by simulating personalized internal cognition as network weights and processing them with a 2D graph neural network.
Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems.����������, 83(1):189–206, 1996
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Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition
The paper proposes to recognize real personality traits by simulating personalized internal cognition as network weights and processing them with a 2D graph neural network.