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Smile: A System to Support Machine Learning on EEG Data at Scale

Summary: Smile is an end-to-end, scalable system for EEG interictal-ictal continuum pattern classification, fusing visualization-based labeling of 350M segments (30 TB) with a deep-learning active-learning loop. It delivers sub-second labeling latency and model-guided sample selection to clinicians, enabling rapid clinician–model convergence. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11942
Venue
VLDB
Year
2019
Pagerank
8.0563426e-05
Overall Rank
2,825 | 80.35%
DOI
10.14778/3352063.3352138

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