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

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eess.SP2025★ 1 cited

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

Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga +3

Deep learning is significantly advancing the analysis of electroencephalography (EEG) data by effectively discovering highly nonlinear patterns within the signals. Data partitionin…