Exploring the Interpretability of Sequential Predictions Through Rationale Model
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-52280-2_2
Reference22 articles.
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3. K. Vafa, Y. Deng, D.M. Blei, A.M. Rush, Rationales for Sequential Predictions (2021), arXiv:2109.06387
4. M. Krishnan, Against interpretability: a critical examination of the interpretability problem in machine learning. Philos. Technol. 33(3), 487–502 (2020)
5. M. Ennab, H. Mcheick, Designing an interpretability-based model to explain the artificial intelligence algorithms in healthcare. Diagnostics 12(7), 1557 (2022)
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