The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study

Documenti analoghi

• The more, the better? Evaluating the role of EEG preprocessing for deep learning applications
  di: Del Pup, Federico, et al.
  Pubblicazione: (2024)
• SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
  di: Del Pup, Federico, et al.
  Pubblicazione: (2023)
• Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation
  di: Tshimanga, Louis Fabrice, et al.
  Pubblicazione: (2026)
• xEEGNet: Towards Explainable AI in EEG Dementia Classification
  di: Zanola, Andrea, et al.
  Pubblicazione: (2025)
• TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection
  di: Del Pup, Federico, et al.
  Pubblicazione: (2025)