A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing
Gill, N.; Hall, P.; Montgomery, K.; Schmidt, N. A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing. Information 2020, 11, 137. https://doi.org/10.3390/info11030137
Gill N, Hall P, Montgomery K, Schmidt N. A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing. Information. 2020; 11(3):137. https://doi.org/10.3390/info11030137
Chicago/Turabian StyleGill, Navdeep, Patrick Hall, Kim Montgomery, and Nicholas Schmidt. 2020. "A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing" Information 11, no. 3: 137. https://doi.org/10.3390/info11030137