A DTW-based granular ball classifier, with random or label-informed ball splitting, improves robustness to symmetric label noise and cuts inference comparisons relative to DTW 1-NN on four benchmarks.
CTW: Confident time-warping for time-series label-noise learn- ing
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Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Based Granular Ball Computing
A DTW-based granular ball classifier, with random or label-informed ball splitting, improves robustness to symmetric label noise and cuts inference comparisons relative to DTW 1-NN on four benchmarks.