Author:
Pocevičiūtė Milda,Eilertsen Gabriel,Lundström Claes
Publisher
Springer International Publishing
Reference127 articles.
1. Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access 6, 52138–52160 (2018)
2. Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., Kim, B.: Sanity checks for saliency maps. In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, NIPS 2018, pp. 9525–9536. Curran Associates Inc., Red Hook (2018).
https://doi.org/10.5555/3327546.3327621
3. Alsallakh, B., Jourabloo, A., Ye, M., Liu, X., Ren, L.: Do convolutional neural networks learn class hierarchy? IEEE Trans. Visual Comput. Graphics 24(1), 152–165 (2018).
https://doi.org/10.1109/TVCG.2017.2744683
4. Alvarez-Melis, D., Jaakkola, T.: A causal framework for explaining the predictions of black-box sequence-to-sequence models. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 412–421. Association for Computational Linguistics, Copenhagen, September 2017.
https://doi.org/10.18653/v1/D17-1042
5. Alzubaidi, L., Resan, R., Abdul Hussain, H.: A robust deep learning approachto detect nuclei in histopathological images. Int. J. Innov. Res. Comput. Commun. Eng. 5, 7–12 (2017)
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