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Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification
In this study, we present a deep learning-based approach for time-series respiration data classification.
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
Performance predictors are a type of regression models which can assist to accomplish the search, while without exerting much computational resource.
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