FreSH, a frequency-segmented multi-expert network, reports the highest average accuracy (76.1%) across 30 UEA multivariate time series classification benchmarks with a compact 54k-parameter model.
A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges.Sensors, 23(9):4178,
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FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification
FreSH, a frequency-segmented multi-expert network, reports the highest average accuracy (76.1%) across 30 UEA multivariate time series classification benchmarks with a compact 54k-parameter model.