5 citations · 10 across the 4 of their papers we have counts for
5 papers
Counterfactual explanation of machine learning survival models
Maxim S. Kovalev, Lev V. Utkin
A method for counterfactual explanation of machine learning survival models is proposed. One of the difficulties of solving the counterfactual explanation problem is that the class…
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models
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. The basic idea behind SurvLIME as well as Sur…
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds
Maxim S. Kovalev, Lev V. Utkin
A new robust algorithm based of the explanation method SurvLIME called SurvLIME-KS is proposed for explaining machine learning survival models. The algorithm is developed to ensure…
SurvLIME: A method for explaining machine learning survival models
Maxim S. Kovalev, Lev V. Utkin, Ernest M. Kasimov
A new method called SurvLIME for explaining machine learning survival models is proposed. It can be viewed as an extension or modification of the well-known method LIME. The main i…
An explanation method for Siamese neural networks
Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov
A new method for explaining the Siamese neural network is proposed. It uses the following main ideas. First, the explained feature vector is compared with the prototype of the corr…