April 11, 2024, 4:42 a.m. | Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.06966v1 Announce Type: new
Abstract: As with most other data domains, EEG data analysis relies on rich domain-specific preprocessing. Beyond such preprocessing, machine learners would hope to deal with such data as with any other time series data. For EEG classification many models have been developed with layer types and architectures we typically do not see in time series classification. Furthermore, typically separate models for each individual subject are learned, not one model for all of them. In this paper, …

abstract analysis arxiv beyond classification cs.lg data data analysis deal domain domains eeg eess.sp machine series time series training type

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