| Interval-valued finite Markov chains IO Kozine, LV Utkin Reliable computing 8 (2), 97-113, 2002 | 168 | 2002 |
| Interpretable machine learning with an ensemble of gradient boosting machines AV Konstantinov, LV Utkin Knowledge-Based Systems 222, 106993, 2021 | 154 | 2021 |
| Imprecise reliability: an introductory overview LV Utkin, FPA Coolen Computational intelligence in reliability engineering: new metaheuristics …, 2007 | 136 | 2007 |
| A general formal approach for fuzzy reliability analysis in the possibility context LV Utkin, SV Gurov Fuzzy sets and systems 83 (2), 203-213, 1996 | 118 | 1996 |
| A method for processing the unreliable expert judgments about parameters of probability distributions LV Utkin European Journal of Operational Research 175 (1), 385-398, 2006 | 112 | 2006 |
| SurvLIME: A method for explaining machine learning survival models MS Kovalev, LV Utkin, EM Kasimov Knowledge-Based Systems 203, 106164, 2020 | 93 | 2020 |
| A siamese deep forest LV Utkin, MA Ryabinin Knowledge-Based Systems 139, 13-22, 2018 | 70 | 2018 |
| An imprecise extension of SVM-based machine learning models LV Utkin Neurocomputing 331, 18-32, 2019 | 69 | 2019 |
| Fuzzy reliability of repairable systems in the possibility context LV Utkin Microelectronics Reliability 34 (12), 1865-1876, 1994 | 63 | 1994 |
| A deep forest classifier with weights of class probability distribution subsets LV Utkin, MS Kovalev, AA Meldo Knowledge-Based Systems 173, 15-27, 2019 | 55 | 2019 |
| Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. LV Utkin, T Augustin ISIPTA 5, 349-358, 2005 | 54 | 2005 |
| Different faces of the natural extension LV Utkin, I Kozine Imprecise Probabilities and Their Applications. Proc. of the 2nd Int …, 2001 | 53 | 2001 |
| Interval-valued regression and classification models in the framework of machine learning LV Utkin, FPA Coolen ISIPTA 11, 371-380, 2011 | 52 | 2011 |
| On new cautious structural reliability models in the framework of imprecise probabilities LV Utkin, I Kozine Structural Safety 32 (6), 411-416, 2010 | 51 | 2010 |
| A weighted random survival forest LV Utkin, AV Konstantinov, VS Chukanov, MV Kots, MA Ryabinin, ... Knowledge-based systems 177, 136-144, 2019 | 50 | 2019 |
| The natural language explanation algorithms for the lung cancer computer-aided diagnosis system A Meldo, L Utkin, M Kovalev, E Kasimov Artificial intelligence in medicine 108, 101952, 2020 | 48 | 2020 |
| Decision making under incomplete data using the imprecise Dirichlet model LV Utkin, T Augustin International Journal of Approximate Reasoning 44 (3), 322-338, 2007 | 47 | 2007 |
| A framework for imprecise robust one-class classification models LV Utkin International Journal of Machine Learning and Cybernetics 5, 379-393, 2014 | 45 | 2014 |
| An approach to combining unreliable pieces of evidence and their propagation in a system response analysis IO Kozine, LV Utkin Reliability Engineering & System Safety 85 (1-3), 103-112, 2004 | 43 | 2004 |
| A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov–Smirnov bounds MS Kovalev, LV Utkin Neural Networks 132, 1-18, 2020 | 42 | 2020 |
