The performance comparation beween the proposed PhysioFormer Model and the state-of-the-art (SOTA) methods in terms of AUC (%), F1-Socre and MSE on WESAD dataset. The performance results reported in the table correspond to the best accuracy achieved for each model under its optimal hyperparameter settings.
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https://figshare.com/articles/dataset/The_performance_comparation_beween_the_proposed_PhysioFormer_Model_and_the_state-of-the-art_SOTA_methods_in_terms_of_AUC_F1-Socre_and_MSE_on_WESAD_dataset_The_performance_results_reported_in_the_table_correspond_to_the_best_accuracy_achieve/30505418
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The performance comparation beween the proposed PhysioFormer Model and the state-of-the-art (SOTA) methods in terms of AUC (%), F1-Socre and MSE on WESAD dataset. The performance results reported in the table correspond to the best accuracy achieved for each model under its optimal hyperparameter settings.
创建时间：
2025-10-31
