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partial dependence

5 papers and 2 presentations; 7 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE EU 2020 XAI: Interpretability of Artificial Intelligence to Ensure Ethics in Drug Development [presentation] Olivier Bouchard source
video
13
SGF 2020 Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies David Olaleye source 22
SGF 2020 How to Explain Your Black-Box Models in SAS Viya Funda Güneş source 26
SGF 2020 Human Bias in Machine Learning: How Well Do You Really Know Your Model? Jim Box source 14
SGF 2020 Model Governance for AI: Rethinking Our Approach to Validating and Using Black Box Models Naeem Siddiqi source 5
PHUSE EU 2019 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application [presentation] Jim Box source 24
SGF 2018 Interpreting Black-Box Machine Learning Models Using Partial Dependence and Individual Conditional Expectation Plots Ray Wright source 19

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