Interpreting Decision-Making Process for Multivariate Time Series Classification

Author:

Babayev RufatORCID,Wiese LenaORCID

Publisher

Springer International Publishing

Reference9 articles.

1. Abanda, A., Mori, U., Lozano, J.A.: A review on distance based time series classification. Data Min. Knowl. Disc. 33(2), 378–412 (2019)

2. Babayev, R., Wiese, L.: Benchmarking classifiers on medical datasets of UEA archive. In: Proceedings of AI Health WWW 2021: International Workshop on AI in Health (2021)

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

4. Du, M., Liu, N., Hu, X.: Techniques for interpretable machine learning. Commun. ACM 63(1), 68–77 (2019)

5. Giorgino, T.: Computing and visualizing dynamic time warping alignments in R: the dtw package. J. Stat. Softw. 31(7), 1–24 (2009). https://doi.org/10.18637/jss.v031.i07

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1. Evaluating Explanation Methods for Multivariate Time Series Classification;Advanced Analytics and Learning on Temporal Data;2023

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