imprecise probabilities, machine learning, uncertainty representation, decision making, reliability theory
Main publications:
Utkin L.V., “An imprecise boosting-like approach to classification”, International Journal of Pattern Recognition and Artificial Intelligence, 27:8 (2013), 1–24
Utkin L.V., “A framework for imprecise robust one-class classification models”, International Journal of Machine Learning and Cybernetics, 5:3 (2014), 379–393
Utkin L.V., “The imprecise Dirichlet model as a basis for a new boosting classification algorithm”, Neurocomputing, 151:3 (2015), 1374–1383
Utkin L.V., Wiencierz A., “Improving over-fitting in ensemble regression by imprecise probabilities”, Information Sciences, 317 (2015), 315–328
Utkin L.V., Zhuk Y.A., “Imprecise prior knowledge incorporating into one-class classification”, Knowledge and Information Systems, 41:1 (2014), 53–76
S. R. Kirpichenko, A. V. Konstantinov, L. V. Utkin, “FoCAT: foundation model for estimating the conditional average treatment effect”, Dokl. RAN. Math. Inf. Proc. Upr., 527 (2025), 182–191
2.
L. V. Utkin, A. V. Konstantinov, N. M. Verbova, “Concept-based learning in heterogeneous treatment effect”, Computing, Telecommunication and Control, 18:4 (2025), 7–19
3.
A. Yu. Ageev, L. V. Utkin, A. V. Konstantinov, “Improved anomaly detection by using the attention-based isolation forest with trainable scoring function”, Computing, Telecommunication and Control, 18:1 (2025), 7–22
4.
A. Ageev, A. Konstantinov, L. Utkin, “Ada-naf: semi-supervised anomaly detection based on the neural attention forest”, Informatics and Automation, 24:1 (2025), 329–357
A. V. Konstantinov, S. R. Kirpichenko, L. V. Utkin, “Generating survival interpretable trajectories and data”, Dokl. RAN. Math. Inf. Proc. Upr., 520:2 (2024), 85–97; Dokl. Math., 110:suppl. 1 (2024), S75–S86
6.
R. I. Dumaev, S. A. Molodyakov, L. V. Utkin, “A model for explainable malignancy assessment of pulmonary nodules on CT images”, Artificial Intelligence and Decision Making, 2024, no. 4, 123–134
2023
7.
A. V. Konstantinov, L. V. Utkin, “A new computationally simple approach for implementing neural networks with output hard constraints”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 80–90; Dokl. Math., 108:suppl. 2 (2023), S233–S241
A. V. Konstantinov, L. V. Utkin, S. R. Kirpichenko, “Flexible deep forest classifier with multi-head attention”, Computing, Telecommunication and Control, 16:2 (2023), 7–16
2022
9.
L. Utkin, A. Konstantinov, “Random survival forests incorporated by the Nadaraya-Watson regression”, Informatics and Automation, 21:5 (2022), 851–880
L. V. Utkin, A. A. Meldo, M. S. Kovalev, E. M. Kasimov, “A review of methods for explaining and interpreting decisions of intelligent cancer diagnosis systems”, Artificial Intelligence and Decision Making, 2020, no. 4, 55–65; Scientific and Technical Information Processing, 48:5 (2021), 398–405
S. G. Popov, L. V. Utkin, V. S. Zaborovsky, “Robust algorithms of data classification obtained using set of weights by group of robots”, St. Petersburg Polytechnical University Journal. Computer Science. Telecommunication and Control Sys, 12:1 (2019), 44–54
2018
12.
A. A. Meldo, L. V. Utkin, “A review of the intelligent lung cancer diagnosis methods”, Artificial Intelligence and Decision Making, 2018, no. 3, 28–38
L. V. Utkin, I. L. Utkina, “A high-performance genome-wide association study algorithm based on analysis of pairs of individuals”, Tr. SPIIRAN, 58 (2018), 5–26
2017
14.
S. V. Gurov, L. V. Utkin, “Reliability of repairable reserved systems with failure aftereffect”, Avtomat. i Telemekh., 2017, no. 1, 137–151; Autom. Remote Control, 78:1 (2017), 113–124
L. V. Utkin, Y. A. Zhuk, “A Genome-Wide Association Study using Pairwise Comparison Matrices”, Tr. SPIIRAN, 47 (2016), 225–240
2012
16.
L. V. Utkin, Yu. A. Zhuk, I. A. Selihovkin, “A classification model on the basis of partial information about features in the form of their mean values”, Artificial Intelligence and Decision Making, 2012, no. 3, 71–81
17.
L. V. Utkin, Yu. A. Zhuk, I. A. Selihovkin, “A classification model on the basis of partial information about features in the form of their mean values”, Artificial Intelligence and Decision Making, 2012, no. 2, 16–26; Scientific and Technical Information Processing, 39:6 (2012), 336–344
L. V. Utkin, S. I. Zatenko, F. Coolen, “New interval bayesian software reliability models on the basis of the non-homogeneous Poisson processes”, Probl. Upr., 2009, no. 6, 52–58; Automation and Remote Control, 71:5 (2010), 935–944
L. V. Utkin, A. V. Konstantinov, D. Yu. Eremenko, V. S. Zaborovsky, V. Muliukha, “Interpretation methods for machine learning models in the framework of survival analysis with censored data: a brief overview”, Computing, Telecommunication and Control, 17:3 (2024), 22–31
20.
V. S. Zaborovsky, L. V. Utkin, V. Muliukha, “Exo-intelligent hybrid supercomputer platforms for shared-use centers”, Computing, Telecommunication and Control, 17:3 (2024), 9–21
2022
21.
S. L. Chernyshev, I. G. Bazhenova, A. V. Bogomolov, T. I. Buldakova, S. V. Gavrilov, A. A. Galyaev, V. A. Gorelik, V. V. Gribova, A. A. Grusho, E. G. Zhilyakov, A. V. Zamyatin, A. F. Kaperko, A. I. Kibzun, V. N. Kozlov, A. P. Krishchenko, S. V. Kuleshov, G. G. Lazareva, E. V. Larkin, T. M. Ledeneva, G. M. Martinov, V. V. Men'shikh, R. A. Munasypov, O. V. Nagornov, A. A. Nazarov, D. A. Novikov, D. V. Pashchenko, A. K. Petrenko, Yu. É. Pleshivtseva, A. L. Ronzhin, E. Ya. Rubinovich, V. I. Rjazhskih, I. B. Saenko, K. E. Samouylov, P. V. Saraev, A. V. Sedov, E. S. Semenkin, D. N. Sidorov, O. A. Slavin, S. Yu. Solov'ev, V. B. Sulimov, G. A. Ougolnitsky, L. V. Utkin, A. V. Khoperskov, V. P. Khranilov, P. Yu. Chebotarev, V. N. Chetverikov, T. B. Chistyakova, Yu. A. Shichkina, “Рудаков Константин Владимирович (21.06.1954 – 10.07.2021). Памяти академика информатики”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 15:1 (2022), 128–130
2020
22.
S. L. Chernyshev, A. V. Bogomolov, A. F. Kaperko, O. A. Slavin, I. G. Bazhenova, A. A. Bobtsov, T. I. Buldakova, S. V. Gavrilov, A. Г. Galyaev, V. A. Gorelik, V. V. Gribova, A. A. Grusho, E. G. Zhilyakov, A. V. Zamyatin, A. I. Kibzun, V. N. Kozlov, A. P. Krishchenko, S. V. Kuleshov, G. G. Lazareva, E. V. Larkin, T. M. Ledeneva, G. M. Martinov, V. V. Men'shikh, R. A. Munasypov, D. A. Novikov, D. V. Pashchenko, A. K. Petrenko, Yu. É. Pleshivtseva, A. L. Ronzhin, E. Ya. Rubinovich, K. V. Rudakov, V. I. Rjazhskih, I. B. Saenko, K. E. Samouylov, P. V. Saraev, G. A. Sviridyuk, A. V. Sedov, E. S. Semenkin, D. N. Sidorov, S. Yu. Solov'ev, V. B. Sulimov, G. A. Ougolnitsky, M. V. Ul'yanov, L. V. Utkin, A. V. Khoperskov, V. P. Khranilov, V. M. Chetverikov, T. B. Chistyakova, Yu. A. Shichkina, “Vladimir Evgenievich Pavlovsky (22.05.1950–03.06.2020)”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 13:3 (2020), 116–118
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