Andrei V. Konstantinov

According to our database1, Andrei V. Konstantinov authored at least 15 papers between 2019 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.



In proceedings 
PhD thesis 




Interpretable machine learning with an ensemble of gradient boosting machines.
Knowl. Based Syst., 2021

Attention-like feature explanation for tabular data.
CoRR, 2021

An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data.
CoRR, 2021

SurvNAM: The machine learning survival model explanation.
CoRR, 2021

Ensembles of Random SHAPs.
CoRR, 2021

Uncertainty Interpretation of the Machine Learning Survival Model Predictions.
IEEE Access, 2021

Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions.
Proceedings of the 28th Conference of Open Innovations Association, 2021

Gradient Boosting Machine with Partially Randomized Decision Trees.
Proceedings of the 28th Conference of Open Innovations Association, 2021

A New Adaptive Weighted Deep Forest and Its Modifications.
Int. J. Inf. Technol. Decis. Mak., 2020

Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors.
Int. J. Artif. Intell. Tools, 2020

A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines.
CoRR, 2020

Gradient boosting machine with partially randomized decision trees.
CoRR, 2020

A weighted random survival forest.
Knowl. Based Syst., 2019

An Adaptive Weighted Deep Forest Classifier.
CoRR, 2019

A Deep Forest Improvement by Using Weighted Schemes.
Proceedings of the 24th Conference of Open Innovations Association, 2019