2023
DOI: 10.1016/j.knosys.2023.110864
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A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications

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Cited by 4 publications
(1 citation statement)
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“…Unlike static image processing tasks, animation scene design faces greater dynamism and variability. Zhang et al [15] explored the dynamic hyperparameter optimization problem in IASD applications, aiming to dynamically determine the optimal hyperparameter configuration for artificial intelligence-based IASD solutions. These configurations are manually set by animators or AI experts and are difficult to adapt to the complex dynamic changes in animation scene design.…”
Section: Related Workmentioning
confidence: 99%
“…Unlike static image processing tasks, animation scene design faces greater dynamism and variability. Zhang et al [15] explored the dynamic hyperparameter optimization problem in IASD applications, aiming to dynamically determine the optimal hyperparameter configuration for artificial intelligence-based IASD solutions. These configurations are manually set by animators or AI experts and are difficult to adapt to the complex dynamic changes in animation scene design.…”
Section: Related Workmentioning
confidence: 99%