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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…
eess.SP2023★ 7 cited
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga +2
SelfEEG is an open-source Python library developed to assist researchers in conducting Self-Supervised Learning (SSL) experiments on electroencephalography (EEG) data. Its primary…