no code implementations • 26 Jun 2020 • Maxim S. Kovalev, Lev V. Utkin
A method for counterfactual explanation of machine learning survival models is proposed.
no code implementations • 5 May 2020 • Maxim S. Kovalev, Lev V. Utkin
As a result, the robust maximin strategy is used, which aims to minimize the average distance between cumulative hazard functions of the explained black-box model and of the approximating Cox model, and to maximize the distance over all cumulative hazard functions in the interval produced by the Kolmogorov-Smirnov bounds.
no code implementations • 5 May 2020 • Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov
A new modification of the explanation method SurvLIME called SurvLIME-Inf for explaining machine learning survival models is proposed.
no code implementations • 18 Mar 2020 • Maxim S. Kovalev, Lev V. Utkin, Ernest M. Kasimov
A new method called SurvLIME for explaining machine learning survival models is proposed.
no code implementations • 18 Nov 2019 • Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov
A new method for explaining the Siamese neural network is proposed.