arXiv Machine Learning July 27, 2026 By Athanasios Papastathopoulos-Katsaros, Steven T. Lee, Lin Yao, Ajay Thomas, Junseok Park, Matthew J. McGinley, Zhandong Liu

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes

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arXiv:2607. 22508v1 Announce Type: new Abstract: Electroencephalography (EEG) is widely used to diagnose neurological conditions, but its analysis usually relies on either predefined spectral features or deep neural networks.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models

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