Author:
Ras Gabriëlle,van Gerven Marcel,Haselager Pim
Publisher
Springer International Publishing
Reference71 articles.
1. Adler, P., Falk, C., Friedler, S. A., Rybeck, G., Scheidegger, C., Smith, B., and Venkatasubramanian, S. (2016). Auditing black-box models for indirect influence. In 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE.
2. Ancona, M., Ceolini, E., Oztireli, C., and Gross, M. (2018). Towards better understanding of gradient-based attribution methods for deep neural networks. In 6th International Conference on Learning Representations (ICLR 2018).
3. Andrews, R., Diederich, J., and Tickle, A. B. (1995). Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Systems, 8(6):373–389.
4. Arbatli, A. D. and Akin, H. L. (1997). Rule extraction from trained neural networks using genetic algorithms. Nonlinear Analysis: Theory, Methods & Applications, 30(3):1639–1648.
5. Bach, S., Binder, A., Montavon, G., Klauschen, F., Müller, K.-R., and Samek, W. (2015). On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PLOS ONE, 10(7).
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