| 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 |