Reduced-Channel EEG Achieves 92% Seizure Classification Accuracy
A new machine learning framework using reduced-channel EEG and variational mode decomposition achieves 92.16% accuracy in classifying nine types of ...
Tag: variational
Deep Learning Autoencoder Integrates Multi-Omics Data to Profile Multiple Myeloma Risk
A novel variational autoencoder framework named MyeVAE integrates clinical traits and multi-modal genomic data to enhance survival risk prediction in ...
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