Evaluating Explanation Methods for Multivariate Time Series Classification

Author:

Serramazza Davide Italo,Nguyen Thu Trang,Le Nguyen Thach,Ifrim Georgiana

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Communications in Computer and Information Science;R Babayev,2021

2. Bagnall, A., et al.: The uea multivariate time series classification archive 2018. arXiv preprint arXiv:1811.00075 (2018)

3. Boniol, P., Meftah, M., Remy, E., Palpanas, T.: DCAM: dimension-wise class activation map for explaining multivariate data series classification. In: Proceedings of the 2022 International Conference on Management of Data, pp. 1175–1189 (2022)

4. Cao, Z., Hidalgo Martinez, G., Simon, T., Wei, S., Sheikh, Y.A.: Openpose: realtime multi-person 2D pose estimation using part affinity fields. IEEE Trans. Pattern Anal. Mach. Intell. (2019)

5. Crabbé, J., Van Der Schaar, M.: Explaining time series predictions with dynamic masks. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 139, pp. 2166–2177. PMLR (2021). https://proceedings.mlr.press/v139/crabbe21a.html

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