Fuzzy-Based, Noise-Resilient, Explainable Algorithm for Regression

Author:

Viaña JavierORCID,Cohen KellyORCID

Publisher

Springer International Publishing

Reference17 articles.

1. Hamon, R., Junklewitz, H., Sanchez, I.: Robustness and Explainability of Artificial Intelligence. Publications Office of the European Union, EU SCIENCE HUB, Luxembourg (2020)

2. Gunning, D.: Explainable Artificial Intelligence (XAI). Defense Advanced Research Projects Agency (DARPA) (2017)

3. Jiménez-Luna, J., Grisoni, F., Schneider, G.: Drug discovery with explainable artificial intelligence. Nat. Mach. Intell. 2, 573–584 (2020)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence),2019

5. Montavon, G., Samek, W., Müller, K.: Methods for interpreting and understanding deep neural networks. Digit. Signal Process. 73, 1–15 (2018)

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