XAI for Time-Series Classification Leveraging Image Highlight Methods

Author:

Makridis GeorgiosORCID,Fatouros GeorgiosORCID,Koukos Vasileios,Kotios Dimitrios,Kyriazis DimosthenisORCID,Soldatos JohnORCID

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Bach, S., Binder, A., Montavon, G., Klauschen, F., Müller, K.R., Samek, W.: On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PLoS ONE 10(7), e0130140 (2015)

2. Bento, J., Saleiro, P., Cruz, A.F., Figueiredo, M.A., Bizarro, P.: TimeSHAP: explaining recurrent models through sequence perturbations. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 2565–2573 (2021)

3. Chiu, M.T., et al.: The 1st agriculture-vision challenge: methods and results. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 48–49 (2020)

4. Choi, E., Bahadori, M.T., Sun, J., Kulas, J., Schuetz, A., Stewart, W.: RETAIN: an interpretable predictive model for healthcare using reverse time attention mechanism. In: Advances in Neural Information Processing Systems, vol. 29 (2016)

5. Choo, J., Liu, S.: Visual analytics for explainable deep learning. IEEE Comput. Graphics Appl. 38(4), 84–92 (2018)

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