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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
6553
Venue
SIGMOD
Year
2022
Pagerank
5.2634238e-05
Overall Rank
9,479 | 34.97%
DOI
10.1145/3514221.3526183

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{boniol_sigmod22,
        title = {{dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification}},
        author = {Boniol, Paul and Meftah, Mohammed and Remy, Emmanuel and Palpanas, Themis},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526183},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526183},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
3,987 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 6.9722766e-05
5,231 Hercules Against Data Series Similarity Search 2022 VLDB 6.3068064e-05
9,394 iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges 2023 VLDB 5.2755515e-05
11,266 DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series 2024 VLDB 5.093636e-05
13,378 ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series 2024 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,579 k-Shape: Efficient and Accurate Clustering of Time Series 2015 SIGMOD 0.00010305183
1,805 SAND: Streaming Subsequence Anomaly Detection 2021 VLDB 9.7116108e-05
2,004 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.3207067e-05
2,346 Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series 2020 VLDB 8.7168932e-05
2,734 Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search 2020 VLDB 8.190416e-05
3,037 The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art 2019 VLDB 7.8275859e-05
4,212 Data Series Progressive Similarity Search with Probabilistic Quality Guarantees 2020 SIGMOD 6.8283344e-05
4,234 GRAIL: Efficient Time-Series Representation Learning 2019 VLDB 6.8171563e-05
5,231 Hercules Against Data Series Similarity Search 2022 VLDB 6.3068064e-05
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