Author:
Abbey Craig K.,Sengupta Sourya,Zhou Weimin,Badal Andreu,Zeng Rongping,Samuelson Frank W.,Eckstein Miguel P.,Myers Kyle J.,Anastasio Mark A.,Brankov Jovan G.
Reference25 articles.
1. Explaining explanations: An overview of interpretability of machine learning;Gilpin,2018
2. Interpretable Artificial Intelligence: Why and When
3. A review of explainable and interpretable AI with applications in COVID-19 imaging;Fuhrman,2021
4. Probing machine-learning classifiers using noise, bubbles, and reverse correlation
5. Polynomial regression as an alternative to neural nets;Cheng,2018
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