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Title:           What is the across-subject performance of your Artificial Intelligence method for EEG analysis?
Subject:         Biomedical Signal Processing and Control, 120 (2026) 110020. doi:10.1016/j.bspc.2026.110020
Keywords:        Electroencephalography,Machine learning,Deep learning,Cross-subject reproducibility,Statistical validation,Generalized mixed-effects models,Model personalization,Seizure detection,Hierarchical Validation,Personalized EEG Models
Author:          Debora Gil
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     Item: 
      Title: What is the across-subject performance of your Artificial Intelligence method for EEG analysis?
      Children: 
       Item: 
        Title: Introduction
        Children: 
         Item: 
          Title: State-of-the-art
       Item: 
        Title: Statistical Evaluation of Performance Reproducibility
       Item: 
        Title: Application to Epileptic seizures detection using DL methods
        Children: 
         Item: 
          Title: Architectures for EEG Analysis
         Item: 
          Title: Dataset
         Item: 
          Title: Data Splits for Hierarchical Cross-Validation
         Item: 
          Title: Metrics
       Item: 
        Title: Results
       Item: 
        Title: Discussion and conclusions
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         Item: 
          Title: Models' Performance
         Item: 
          Title: Subpopulation Analysis
         Item: 
          Title: Use case Limitations
       Item: 
        Title: Conclusions
       Item: 
        Title: CRediT authorship contribution statement
       Item: 
        Title: Declaration of Generative AI and AI-assisted technologies in the writing process
       Item: 
        Title: Declaration of competing interest
       Item: 
        Title: Acknowledgments
       Item: 
        Title: Data availability
       Item: 
        Title: References
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    Keywords: Electroencephalography,Machine learning,Deep learning,Cross-subject reproducibility,Statistical validation,Generalized mixed-effects models,Model personalization,Seizure detection,Hierarchical Validation,Personalized EEG Models
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