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Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding.

, , and . BCI, page 1-6. IEEE, (2018)

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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)A Large-Scale Evaluation Framework for EEG Deep Learning Architectures., , , , , and . SMC, page 1039-1045. IEEE, (2018)Machine-Learning-Based Diagnostics of EEG Pathology., , , , , , , and . CoRR, (2020)Deep learning with convolutional neural networks for decoding and visualization of EEG pathology., , , , and . CoRR, (2017)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)Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills., , , , , , , , , and 1 other author(s). ECMR, page 1-6. IEEE, (2017)Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning., , , and . CoRR, (2023)Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding., , , , , , , and . SMC, page 1046-1053. IEEE, (2018)