
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
A method for the local and global interpretation of a blackbox model on...
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A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines
The gradient boosting machine is one of the powerful tools for solving r...
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Counterfactual explanation of machine learning survival models
A method for counterfactual explanation of machine learning survival mod...
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Gradient boosting machine with partially randomized decision trees
The gradient boosting machine is a powerful ensemblebased machine learn...
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A robust algorithm for explaining unreliable machine learning survival models using the KolmogorovSmirnov bounds
A new robust algorithm based of the explanation method SurvLIME called S...
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SurvLIMEInf: A simplified modification of SurvLIME for explanation of machine learning survival models
A new modification of the explanation method SurvLIME called SurvLIMEIn...
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SurvLIME: A method for explaining machine learning survival models
A new method called SurvLIME for explaining machine learning survival mo...
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An explanation method for Siamese neural networks
A new method for explaining the Siamese neural network is proposed. It u...
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Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors
A new metaalgorithm for estimating the conditional average treatment ef...
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An Adaptive Weighted Deep Forest Classifier
A modification of the confidence screening mechanism based on adaptive w...
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A weighted random survival forest
A weighted random survival forest is presented in the paper. It can be r...
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A simple genomewide association study algorithm
A computationally simple genomewide association study (GWAS) algorithm ...
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Discriminative Metric Learning with Deep Forest
A Discriminative Deep Forest (DisDF) as a metric learning algorithm is p...
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A Siamese Deep Forest
A Siamese Deep Forest (SDF) is proposed in the paper. It is based on the...
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Lev V. Utkin
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