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20222026
most citedSelfEEG: A Python library for Self-Supervised Learning in Electroencephalography

7 citations · 8 across the 6 of their papers we have counts for

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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…