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dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification

Summary: Introduces dCAM, a dimension-wise class activation map for explaining multivariate time-series classification with CNNs. Proposes a dim-aware CNN and dCAM extractor to localize temporal and cross-dimensional discriminants, enabling discriminant-feature discovery. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6491
Venue
SIGMOD
Year
2022
Pagerank
4.3556432e-05
Overall Rank
9,331 | 35.09%
DOI
10.1145/3514221.3526183

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