Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model


Institutions :
MIT, U of Washington, Columbia
Authors :
B. Letham, C. Rudin, T. McCormick and D. Madigan
Publication :
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model, Annals of Applied Statistics, 2015
Source Code :
https://github.com/nlarusstone/corels


Principles of Explanatory Debugging to Personalize Interactive Machine Learning


Institutions :
Oregon State, City University London
Authors :
T. Kulesza, M. Burnett, W-K. Wong and S. Stumpf
Publication :
Principles of Explanatory Debugging to Personalize Interactive Machine Learning, IUI, 2015
Source Code :
https://github.com/fflewddur/IMLPlayground