Convolutional architecture search based on particle swarm algorithm for functional brain network classification
Abstract: Highlights•As we know, it is the first work that applies PSO-NAS to functional brain network classification.•This novel individual representation can effectively extract multi-level topological features of brain networks.•This novel SVM-based surrogate predictor can enhance model efficiency.•This method has the potential to assist healthcare professionals in diagnosing brain disorders.
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