c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation

5 June 2019

Papers citing "c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation"

5 / 5 papers shown

Title
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines A. Konstantinov Lev V. Utkin FedML AI4CE 10 139 0 14 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Nhat Vu My T. Thai BDL 16 328 0 12 Oct 2020
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 27 19 0 26 Jun 2020
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds M. Kovalev Lev V. Utkin AAML 35 31 0 05 May 2020
An explanation method for Siamese neural networks Lev V. Utkin M. Kovalev E. Kasimov 22 14 0 18 Nov 2019