Maxim Kovalev

Orcid: 0000-0002-0540-1976

According to our database1, Maxim Kovalev authored at least 15 papers between 2014 and 2021.

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

Timeline

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Bibliography

2021
Counterfactual Explanation of Machine Learning Survival Models.
Informatica, 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

2020
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds.
Neural Networks, 2020

SurvLIME: A method for explaining machine learning survival models.
Knowl. Based Syst., 2020

Counterfactual explanation of machine learning survival models.
CoRR, 2020

SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models.
CoRR, 2020

Explanation of Siamese Neural Networks for Weakly Supervised Learning.
Comput. Informatics, 2020

Imprecise weighted extensions of random forests for classification and regression.
Appl. Soft Comput., 2020

The natural language explanation algorithms for the lung cancer computer-aided diagnosis system.
Artif. Intell. Medicine, 2020

2019
A deep forest classifier with weights of class probability distribution subsets.
Knowl. Based Syst., 2019

An explanation method for Siamese neural networks.
CoRR, 2019

Imprecise Extensions of Random Forests and Random Survival Forests.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

An Ensemble of Triplet Neural Networks for Differential Diagnostics of Lung Cancer.
Proceedings of the 25th Conference of Open Innovations Association, 2019

2014
Indoor positioning of mobile devices by combined Wi-Fi and GPS signals.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014


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