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neerajwagh / eeg-gcnn

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Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

machine-learning deep-learning pytorch eeg eeg-signals eeg-classification eeg-signals-processing graph-neural-networks neurips convolutional-network neurips-2020 eeg-gcnn ml4h dgl-graph
  • Updated Oct 8, 2022
  • Python

neerajwagh / eeg-self-supervision

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Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

machine-learning deep-learning neural-network domain-driven-design neuroscience eeg eeg-signals convolutional-neural-networks transfer-learning representation-learning unsupervised-learning biosignals multi-task-learning eeg-classification self-supervision self-supervised-learning electroencephalogram electrophysiological-data ml4h neurips-2021
  • Updated Jul 12, 2023
  • Python

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