Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP)

2 June 2018

Papers citing "Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP)"

4 / 4 papers shown

Title
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 185 90 0 18 Mar 2020
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 549 21,613 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 587 16,828 0 16 Feb 2016
A review on global sensitivity analysis methods Bertrand Iooss Paul Lemaître 72 891 0 09 Apr 2014