Lev V. Utkin

  • Peter the Great St. Petersburg Polytechnic University, Russia

According to our database1, Lev V. Utkin authored at least 93 papers between 1996 and 2021.

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



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


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 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

Improvement of the Deep Forest Classifier by a Set of Neural Networks.
Informatica (Slovenia), 2020

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

An imprecise deep forest for classification.
Expert Syst. Appl., 2020

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

Counterfactual explanation of machine learning survival models.
CoRR, 2020

Gradient boosting machine with partially randomized decision trees.
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

Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

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

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

An imprecise extension of SVM-based machine learning models.
Neurocomputing, 2019

Discriminative Metric Learning with Deep Forest.
Int. J. Artif. Intell. Tools, 2019

An explanation method for Siamese neural networks.
CoRR, 2019

Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors.
CoRR, 2019

An Adaptive Weighted Deep Forest Classifier.
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

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

Database Acquisition for the Lung Cancer Computer Aided Diagnostic Systems.
Proceedings of the 25th Conference of Open Innovations Association, 2019

A robust weighted SVR-based software reliability growth model.
Reliab. Eng. Syst. Saf., 2018

A Siamese Deep Forest.
Knowl. Based Syst., 2018

A modification of the Lasso method by using the Bahadur representation for the genome-wide association study.
Informatica (Slovenia), 2018

An one-class classification support vector machine model by interval-valued training data.
Knowl. Based Syst., 2017

Interval SVM-Based Classification Algorithm Using the Uncertainty Trick.
Int. J. Artif. Intell. Tools, 2017

Siamese neural network for intelligent information security control in multi-robot systems.
Autom. Control. Comput. Sci., 2017

Reliability of repairable reserved systems with failure aftereffect.
Autom. Remote. Control., 2017

Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels.
Neural Networks, 2016

Detection of anomalous behavior in a robot system based on deep learning elements.
Autom. Control. Comput. Sci., 2016

Imprecise inference for warranty contract analysis.
Reliab. Eng. Syst. Saf., 2015

A new robust model of one-class classification by interval-valued training data using the triangular kernel.
Neural Networks, 2015

Improving over-fitting in ensemble regression by imprecise probabilities.
Inf. Sci., 2015

The imprecise Dirichlet model as a basis for a new boosting classification algorithm.
Neurocomputing, 2015

Robust Classifiers Using Imprecise Probability Models and Importance of Classes.
Int. J. Artif. Intell. Tools, 2015

A framework for imprecise robust one-class classification models.
Int. J. Mach. Learn. Cybern., 2014

Robust boosting classification models with local sets of probability distributions.
Knowl. Based Syst., 2014

Imprecise prior knowledge incorporating into one-class classification.
Knowl. Inf. Syst., 2014

A Robust One-Class Classification Model with Interval-Valued Data Based on Belief Functions and Minimax Strategy.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

An Imprecise Boosting-like Approach to Classification.
Int. J. Pattern Recognit. Artif. Intell., 2013

Fuzzy decision making using the imprecise Dirichlet model.
Int. J. Math. Oper. Res., 2013

Robust novelty detection in the framework of a contamination neighbourhood.
Int. J. Intell. Inf. Database Syst., 2013

Imprecise Imputation as a Tool for Solving Classification Problems with Mean Values of Unobserved Features.
Adv. Artif. Intell., 2013

The DS/AHP Method under Partial Information about Criteria and Alternatives by Several Levels of Criteria.
Int. J. Inf. Technol. Decis. Mak., 2012

A machine learning algorithm for classification under extremely scarce information.
Int. J. Data Anal. Tech. Strateg., 2012

Combining of judgments in imprecise voting multi-criteria decision problems.
Int. J. Appl. Decis. Sci., 2012

Fuzzy One-Class Classification Model Using Contamination Neighborhoods.
Adv. Fuzzy Syst., 2012

A Pessimistic Approach for Solving a Multi-criteria Decision Making.
Proceedings of the Fourth International Conference on Knowledge and Systems Engineering, 2012

Imprecise Reliability.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Regression analysis using the imprecise Bayesian normal model.
Int. J. Data Anal. Tech. Strateg., 2010

Computing expectations with continuous p-boxes: Univariate case.
Int. J. Approx. Reason., 2009

A new ranking procedure by incomplete pairwise comparisons using preference subsets.
Intell. Data Anal., 2009

Imprecise reliability: An introductory overview.
Proceedings of the Intelligence in Reliability Engineering: New Metaheuristics, 2007

Risk Analysis under Partial Prior Information and Nonmonotone Utility Functions.
Int. J. Inf. Technol. Decis. Mak., 2007

Decision making under incomplete data using the imprecise Dirichlet model.
Int. J. Approx. Reason., 2007

Second-order uncertainty calculations by using the imprecise Dirichlet model.
Intell. Data Anal., 2007

Cautious Analysis of Project Risks by Interval-Valued Initial Data.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006

A method for processing the unreliable expert judgments about parameters of probability distributions.
Eur. J. Oper. Res., 2006

Ranking procedures by pairwise comparison using random sets and the imprecise Dirichlet model.
Appl. Math. Comput., 2006

Computing System Reliability Given Interval-Valued Characteristics of the Components.
Reliab. Comput., 2005

Imprecise second-order model for a system of independent random variables.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005

Constructing imprecise probability distributions.
Int. J. Gen. Syst., 2005

Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model.
Fuzzy Sets Syst., 2005

Comments on the paper "A behavioural model for vague probability assessments" by Gert de Cooman.
Fuzzy Sets Syst., 2005

Powerful algorithms for decision making under partial prior information and general ambiguity attitudes.
Proceedings of the ISIPTA '05, 2005

A new efficient algorithm for computing the imprecise reliability of monotone systems.
Reliab. Eng. Syst. Saf., 2004

An approach to combining unreliable pieces of evidence and their propagation in a system response analysis.
Reliab. Eng. Syst. Saf., 2004

Interval reliability of typical systems with partially known probabilities.
Eur. J. Oper. Res., 2004

Reliability models of <i>m</i>-out-of-<i>n</i> systems under incomplete information.
Comput. Oper. Res., 2004

A second-order uncertainty model for calculation of the interval system reliability.
Reliab. Eng. Syst. Saf., 2003

Imprecise Second-Order Hierarchical Uncertainty Model .
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003

Decision Making with Imprecise Second-Order Probabilities.
Proceedings of the ISIPTA '03, 2003

A Second-Order Uncertainty Model of Independent Random Variables: An Example of the Stress-Strength Reliability.
Proceedings of the ISIPTA '03, 2003

Interval-Valued Finite Markov Chains.
Reliab. Comput., 2002

Stress-strength reliability models under incomplete information.
Int. J. Gen. Syst., 2002

Computing the reliability of complex systems.
Proceedings of the ISIPTA '01, 2001

Different faces of the natural extension.
Proceedings of the ISIPTA '01, 2001

Imprecise Reliability of General Structures.
Knowl. Inf. Syst., 1999

Imprecise Reliability Models for the General Lifetime Distribution Classes.
Proceedings of the ISIPTA '99, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, held at the Conference Center "Het Pand" of the Universiteit Gent, Ghent, Belgium, 29 June, 1999

Steady-state reliability of repairable systems by combined probability and possibility assumptions.
Fuzzy Sets Syst., 1998

A general formal approach for fuzzy reliability analysis in the possibility context.
Fuzzy Sets Syst., 1996