Using full-recording acoustic features and wrapper selection, the Extreme Minimal Learning Machine provides competitive dementia classification accuracy at lower computational cost on ADReSS and Pitt datasets.
Kohonen, The self-organizing map, Proceedings of the IEEE 78 (9) (1990) 1464–1480
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Dementia classification from spontaneous speech using wrapper-based feature selection
Using full-recording acoustic features and wrapper selection, the Extreme Minimal Learning Machine provides competitive dementia classification accuracy at lower computational cost on ADReSS and Pitt datasets.