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ORCIDMaxim Kovalev
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2020 – today
- 2021
[j8]Lev V. Utkin
, Vladimir S. Zaborovsky, Maxim S. Kovalev, Andrei V. Konstantinov, Natalia A. Politaeva, Alexey Lukashin:
Uncertainty Interpretation of the Machine Learning Survival Model Predictions. IEEE Access 9: 120158-120175 (2021)- [j7]Maxim Kovalev, Lev V. Utkin, Frank P. A. Coolen, Andrei V. Konstantinov:
Counterfactual Explanation of Machine Learning Survival Models. Informatica 32(4): 817-847 (2021) - [c4]Lev V. Utkin, Pavel D. Drobintsev, Maxim Kovalev, Andrei V. Konstantinov:
Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions. FRUCT 2021: 489-494 - 2020
- [j6]Anna A. Meldo, Lev V. Utkin, Maxim Kovalev, Ernest M. Kasimov:
The natural language explanation algorithms for the lung cancer computer-aided diagnosis system. Artif. Intell. Medicine 108: 101952 (2020) - [j5]Lev V. Utkin, Maxim S. Kovalev, Frank P. A. Coolen:
Imprecise weighted extensions of random forests for classification and regression. Appl. Soft Comput. 92: 106324 (2020) - [j4]Lev V. Utkin, Maxim Kovalev, Ernest M. Kasimov:
Explanation of Siamese Neural Networks for Weakly Supervised Learning. Comput. Informatics 39(6) (2020) - [j3]Maxim S. Kovalev, Lev V. Utkin, Ernest M. Kasimov:
SurvLIME: A method for explaining machine learning survival models. Knowl. Based Syst. 203: 106164 (2020) - [j2]Maxim S. Kovalev, Lev V. Utkin:
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds. Neural Networks 132: 1-18 (2020) - [i5]Maxim S. Kovalev, Lev V. Utkin, Ernest M. Kasimov:
SurvLIME: A method for explaining machine learning survival models. CoRR abs/2003.08371 (2020) - [i4]Maxim S. Kovalev, Lev V. Utkin:
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds. CoRR abs/2005.02249 (2020) - [i3]Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov:
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models. CoRR abs/2005.02387 (2020) - [i2]Maxim S. Kovalev, Lev V. Utkin:
Counterfactual explanation of machine learning survival models. CoRR abs/2006.16793 (2020)
2010 – 2019
- 2019
- [j1]Lev V. Utkin, Maxim Kovalev, Anna A. Meldo:
A deep forest classifier with weights of class probability distribution subsets. Knowl. Based Syst. 173: 15-27 (2019) - [c3]Lev V. Utkin, Anna A. Meldo, Maxim Kovalev, Ernest M. Kasimov:
An Ensemble of Triplet Neural Networks for Differential Diagnostics of Lung Cancer. FRUCT 2019: 346-352 - [c2]Lev V. Utkin, Maxim Kovalev, Anna A. Meldo, Frank P. A. Coolen:
Imprecise Extensions of Random Forests and Random Survival Forests. ISIPTA 2019: 404-413 - [i1]Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov:
An explanation method for Siamese neural networks. CoRR abs/1911.07702 (2019) - 2014
- [c1]Maxim Kovalev:
Indoor positioning of mobile devices by combined Wi-Fi and GPS signals. IPIN 2014: 332-339
Coauthor Index
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