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arXiv Machine Learning By Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training

Read the original on arXiv Machine Learning →

The paper investigates whether EEG data can be treated as generic time series for classification tasks. It compares subject‑specific, subject‑agnostic, and subject‑conditional models, showing that off‑the‑shelf time‑series models trained per subject perform nearly as well as specialized EEG models, though not quite matching them. By incorporating subject embeddings into a joint subject‑conditional classifier, the authors achieve competitive performance on two of three datasets and even surpass all EEG methods on one dataset.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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