A New Method to Compare the Interpretability of Rule-based Algorithms

3 April 2020

Papers citing "A New Method to Compare the Interpretability of Rule-based Algorithms"

5 / 5 papers shown

Title
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 64 400 0 19 Oct 2020
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 101 3,922 0 06 Feb 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 144 3,848 0 10 Apr 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 141 3,672 0 10 Jun 2016
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 161 3,583 0 27 Jul 2009