A multi-stage prototype learning model for multivariate time series classification that matches deep learning accuracy while supplying explicit hierarchical prototype explanations of single- and cross-variable patterns.
Closed-loop neurofeedback of alpha synchrony during goal-directed attention
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Multi-Stage Prototype Learning for Interpretable Time Series Classification
A multi-stage prototype learning model for multivariate time series classification that matches deep learning accuracy while supplying explicit hierarchical prototype explanations of single- and cross-variable patterns.