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.
Mod- erntcn: A modern pure convolution structure for general time series analysis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.