This paper is about EEG denoising and classification using NLP techniques and independent components. We learn representative waveforms, build codebooks from them, and then use the bag-of-waves (bag of words) representation for classification. [Download paper here](http://academicpages.github.io/files/2023_iclr_tslr4h_labeling_eeg_components.pdf) Recommended citation: @inproceedings{ mendoza-cardenas2023labeling, title={Labeling {EEG} Components with a Bag of Waveforms from Learned Dictionaries}, author={Carlos H Mendoza-Cardenas and Austin Meek and Austin J. Brockmeier}, booktitle={ICLR 2023 Workshop on Time Series Representation Learning for Health}, year={2023}, url={https://openreview.net/forum?id=i8zQLneFvn} } 