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The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks., , , and . BCI, page 1-6. IEEE, (2018)Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification., , , and . Comput. Biol. Medicine, (2024)Machine-Learning-Based Diagnostics of EEG Pathology., , , , , , , and . CoRR, (2020)A Large-Scale Evaluation Framework for EEG Deep Learning Architectures., , , , , and . SMC, page 1039-1045. IEEE, (2018)Deep learning for brain-signal decoding from electroencephalography.. University of Freiburg, Freiburg im Breisgau, Germany, (2024)On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning., , , , , and . CoRR, (2022)Deep transfer learning for error decoding from non-invasive EEG., , , , and . BCI, page 1-6. IEEE, (2018)Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding., , and . BCI, page 1-6. IEEE, (2018)Deep learning with convolutional neural networks for decoding and visualization of EEG pathology., , , , and . CoRR, (2017)Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning., , , and . CoRR, (2023)