X-ELM: A Fast Explainability Approach for Extreme Learning Machines

Author:

Warner Brandon,Ratner Edward,Lendasse Amaury

Publisher

Springer Nature Switzerland

Reference24 articles.

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2. Lundberg, S.M., Lee, S.: A unified approach to interpreting model predictions. In: Advances in Neural Information Processing Systems, vol. 30 (2017)

3. Štrumbelj, E., Kononenko, I.: Explaining prediction models and individual predictions with feature contributions. Knowl. Inf. Syst. 41(3), 647–665 (2014)

4. Ertuğrul, Ö.F., Tağluk, M.E.: A fast feature selection approach based on extreme learning machine and coefficient of variation. Turk. J. Electr. Eng. Comput. Sci. 25(4), 3409–3420 (2017)

5. Marco T.R., Singh, S., Guestrin, C.: Why should I trust you?: Explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135–1144. ACM (2016)

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