most citedMulti-Stage Prototype Learning for Interpretable Time Series Classification

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2026★ 4 cited

Multi-Stage Prototype Learning for Interpretable Time Series Classification

Bhavesh Kalisetti, Vincent Wang, Gaurav R. Ghosal +2

Deep learning methods are powerful tools in classifying multivariate time series data. Despite their high performance, these methods are hard to interpret, which diminishes their a…