About 120 publications, mostly in Russian (see more full list).

1. Lepskiy A. On Optimal Blurring of Point Expert Estimates and their Aggregation in the Framework of Evidence Theory. Procedia Compiter Science, 2022. (draft)
2. Lepskiy A. Cluster Decomposition of the Body of Evidence. In: Le Hégarat-Mascle, S., Bloch, I., Aldea, E. (eds) Belief Functions: Theory and Applications. BELIEF 2022. Lecture Notes in Computer Science, 2022, vol.13506, pp. 163–173. Springer, Cham. (draft)
3. Bronevich A., Lepskiy A. Measures of conflict, basic axioms and their application to the clusterization of a body of evidence// Fuzzy Sets and Systems. 2022. No. 446. P. 277-300. https://doi.org/10.1016/j.fss.2021.04.016
4. Lepskiy, A.E. Analysis of Information Inconsistency in Belief Function Theory. Part II: Internal Conflict. Control Sciences 6,  2–12 (2021). http://doi.org/10.25728/cs.2021.6.1
5. Lepskiy, A.E. Analysis of Information Inconsistency in Belief Function Theory. Part I: External Conflict. Control Sciences 5, 2–16 (2021). http://doi.org/10.25728/cs.2021.5.1
6. Lepskiy A. Conflict Measure of Belief Functions with Blurred Focal Elements on the Real Line. In: Denœux T., Lefèvre E., Liu Z., Pichon F. (eds) Belief Functions: Theory and Applications. BELIEF 2021. Lecture Notes in Computer Science, 2021, vol.12915. Springer, Cham. (draft)
7. Lepskiy A., Meshcheryakova N. Belief Functions for the Importance Assessment in Multiplex Networks. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020 Vol. 1238. Part 2. Cham: Springer, 2020. P .283-296. (draft)
8. Lepskiy A. Decompositional Approach for Evaluation of Internal Conflict in the Framework of the Evidence Theory// Nechetkie Sistemy i Myagkie Vychisleniya, 2020, 15(1), 43-63. 
9. Lepskiy A., Suevalov A.  Application of the Belief Function Theory to the Development of Trading Strategies. Procedia Computer Science, 2019, 162, pp.235-242.
10. Lepskiy A., Smolev V.  Application of Non-additive Measures and Integrals for Analysis of the Importance of Party Positions for Voting. in: Atlantis Studies in Uncertainty Modelling, Vol. 1. Atlantis Press, 2019. P. 321-327.
11. Bronevich A., Lepskiy A.  Clustering a Body of Evidence Based on Conflict Measures. in: Atlantis Studies in Uncertainty Modelling, Vol. 1. Atlantis Press, 2019. P. 328-333.
12. Lepskiy A. On the Conflict Measures Agreed with the Combining Rules. In: Destercke S., Denoeux T., Cuzzolin F., Martin A. (eds) Belief Functions: Theory and Applications. BELIEF 2018. Lecture Notes in Computer Science, 2018, vol. 11069. Springer, Cham, pp.172-180. (draft)
13. Lepskiy A. On the Preservation of Comparison of Distorted Histograms// International Journal of Information Technology & Decision Making, 2018, 17(1), pp.339-355.
14. Kutynina E., Lepskiy A. Aggregation of Forecasts and Recommendations of Financial Analysts in the Framework of Evidence Theory. In: Kacprzyk J., Szmidt E., Zadrożny S., Atanassov K., Krawczak M. (eds) Advances in Fuzzy Logic and Technology 2017. IWIFSGN 2017, EUSFLAT 2017. AISC, vol. 642, 2018, Springer, pp.370-381.  (draft)
15. Lepskiy A., Suevalov A. Application of Fuzzy Asymmetric GARCH-Models to Forecasting of Volatility of Russian Stock Market. In: Abraham A., Kovalev S., Tarassov V., Snasel V., Vasileva M., Sukhanov A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. AISC, vol. 679, 2018, Springer, pp.286-294.  (draft)
16. Lepskiy A. Stochastic and fuzzy ordering with the method of minimal transformations// Automation and Remote Control, 2017, 78(1), pp.50-66. 
17. Kutynina E., Lepskiy A. Dynamic Analysis of the Development of Scientific Communities in the Field of Soft Computing// in Soft Methods for Data Science (editors Ferraro M.B., Giordani P., Vantaggi B., Gagolewski M., Ángeles Gil M., Grzegorzewski P., Hryniewicz O.), Advances in Intelligent Systems and Computing, vol.456, 2017, Springer-Verlag, pp.293-302.  (draft)
18. Bronevich A., Lepskiy A., Penikas H. Coherence Analysis of Financial Analysts’ Recommendations in the Framework of Evidence Theory// Proc. of the 2nd International Workshop on Soft Computing Applications and Knowledge Discovery (SCAKD 2016), HSE, Moscow, 18 July 2016, CEUR-Workshop, v.1687, pp.12-23.  (draft)
19. Lepskiy A. On internal conflict as an external conflict of a decomposition of evidence// Vejnarová J., Kratochvil V. (Eds.): BELIEF 2016, LNAI 9861, Springer-Verlag, pp.25-34.  (draft)
20. Lepskiy A. The Qualitative Characteristics of Combining Evidence with Discounting// in Soft Methods for Data Science (editors Ferraro M.B., Giordani P., Vantaggi B., Gagolewski M., Ángeles Gil M., Grzegorzewski P., Hryniewicz O.), Advances in Intelligent Systems and Computing, vol.456, 2017, Springer-Verlag, pp.311-318.  (draft)
21. Lepskiy A. A Comparison of Stochastic and Fuzzy Orderings// Proc. of the First Intern. Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16), Advances in Intelligent Systems and Computing, 2016, V.450, Springer, pp.27-37. (draft)
22. Bronevich A., Lepskiy A. Imprecision indices: axiomatic, properties and applications// International Journal of General Systems, 2015, vol.44, is.7-8, pp.812-832.
23. Bronevich A., Lepskiy A., Penikas H. The Application of Conflict Measure to Estimating Incoherence of Analyst's Forecasts about the Cost of Shares of Russian Companies// Procedia Computer Science, 2015, 55, pp.1113-1122.(external link)
24. Lepskiy A. On Comparison of Distorted Histograms// Strengthening Links Between Data Analysis and Soft Computing (Editors: P. Grzegorzewski, M. Gagolewski, O. Hryniewicz, M.A. Gil), Advances in Intelligent Systems and Computing, V.315, Springer-Verlag, 2015, pp.159-166. ISBN: 978-3-319-10764-6   DOI 10.1007/978-3-319-10765-3(pdf)
25. Lepskiy A. General Schemes of Combining Rules and the Quality Characteristics of Combining // F. Cuzzolin (Ed.): BELIEF 2014, LNAI 8764, Springer-Verlag, pp. 29–38, 2014. (pdf)
26. Lepskiy A. On the Stability of Comparing Histograms with Help of Probabilistic Methods // Procedia Computer Science, 31, 2014, 597-605; doi: 10.1016/j.procs.2014.05.306, ISSN: 1877-0509.
27. Bronevich A., Lepskiy A., Umansky V., Yakushev D. Recognition of Cross Profiles of Roadbed Based on Polygonal Representations // LNCS, Springer-Verlag, 8251, pp.270–276, 2013. (pdf)
28. Lepskiy А. About Relation between the Measure of Conflict and Decreasing of Ignorance in Theory of Evidence// Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13). Atlantis Press, pp.355-362, 2013. ISBN 978-90786-77-78-9, ISSN 1951-6851, doi:10.2991/eusflat.2013.56 (pdf)
29. Lepskiy А. Determination of Symmetry Parameters of Objects in Noisy Images// Pattern Recognition and Image Analysis, 2013, Vol. 23, No. 3, pp. 408–414.
30. Lepskiy А. Estimation of Conflict and Decreasing of Ignorance in Dempster-Shafer Theory// Procedia Computer Science, Volume 17, 2013, pp.1113–1120 (ISSN: 1877-0509) (pdf)
31. Lepskiy А. Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features// Synergies of soft computing and statistics for intelligent data analysis, AISC 190, Springer-Verlag, Berlin Heidelberg, 2013, pp.553-561,DOI:10.1007/978-3-642-33042-1_59 (pdf)
32. Lepskiy А. About conditions of stability of finding of symmetry axis of noisy image object// Proc. of 8^th Open German-Russian Workshop "Pattern Recognition and Image Understanding” OGRW-8-2011, November 21-26, 2011, Nizhny Novgorod Lobachevsky State University, pp. 174-177. (pdf)
33. Lepskiy A. Obtaining the Minimal Polygonal Representation of a Curve by Means of a Fuzzy Clustering// Proc. of International Workshop on Soft Computing Applications and Knowledge Discovery, HSE, Moscow, 25 June 2011, CEUR-Workshop, v. (ISSN 1613-0073), pp.63-71.(pdf)
34. Lepskiy A. Stable Feature Extraction with the Help of Stochastic Information Measure// Proceedings of 4th International Conference: Pattern Recognition and Machine Intelligence (PReMI 2011), Lecture Notes in Computer Science(LNCS), vol. 6744, Berlin / Heidelberg: Springer Verlag, 2011, (ISBN 978-3-642-21785-2), pp.54-59.(pdf)
35. Lepskiy A.E. The class of nearest belief functions to a given probability measure// Proc. of the NAFIPS’08, New York, 2008, # 60608. (pdf )
36. Lepskiy A.E. Symmetric Linear Imprecision Index in the Class of Lower Probabilities// Journal of Computer and Systems Sciences International, 2008, Vol. 47, No. 2, pp. 193–199. (pdf)
37. Lepskiy A.E. Application of stochastic information measure in problem of finding of optimal polygonal curve representation// Proc. of the 9^th Intern. Conf. "Pattern Recognition and Image Analysis: New information Technologies” (PRIA-9-2008), Vol.1. – Nizhni Novgorod, 2008, pp.397-400. (pdf)
38.  Karkishchenko А.N., Lepskiy A.E. Imprecision Index and Its Application to Estimating the Prior System Information Content// Journal of Computer and Systems Sciences International, 2008, Vol. 47, No. 1, pp. 86–92. (pdf)
39. Lepskiy A., Bronevich A. Various representations and algebraic structure of linear imprecision indices// Proc. of the 5^th EUSFLAT Conference, Ostrava, Chezh Republic, September 11-14, 2007, Vol.1, pp.297-304. (pdf)
40. Bronevich A., Lepskiy A. Measuring uncertainty with imprecision indices// Proc. of the Fifth International Symposium on Imprecise Probabilities and Their Applications (ISIPTA''07), Prague, Czech Republic, 16-19 July 2007, pp.47-56. (pdf)
41. Lepskii A.E. On Stability of the Center of Masses of the Vector Representation in One Probabilistic Model of Noiseness of an Image Contour// Automation and Remote Control, 2007, Vol. 68, No. 1, pp. 75–84. (pdf)
42. Lepskiy A.E. The Linear Imprecision Indices on the Lower Probabilities// Proc. of the 11^th IPMU Conference (Paris, July 2-7, 2006), pp.1724-1731. (pdf)
43. Bronevich A., Lepskiy A. Geometrical fuzzy measures in image processing and pattern recognition// Proc. of the 10th IFSA World Congress, 2003, Istanbul, Turkey, pp.151-154. (pdf)
44. Bronevich A.G., Lepskiy A.E. Operators for convolution of fuzzy measures// Soft Methods in Probability, Statistics and Data Analysis/ ed.: Przemyslaw Grzegorzewski … - Heidelberg; New-York: Physical-Verl., 2002, pp.84-91. (pdf)
45. Lepskiy A.E., Bronevich A.G., Bachilo S.А. Extraction of Control Points Based on an Infotmative Quantity Measure// Proc. of the 4^th Intern. Conf. «Digital Signal Processing and its Applications», Moscow, 2002, Vol. 2, pp.288-291.(pdf)
46. Karkishchenko А.N., Lepskii A.E. On Stability of the Center of Masses, Vectors and a Fourier Descriptor of the Vector
    Representation of an Image Contour// Automation and Remote Control, Vol. 62, No. 3, 2001, pp. 474-484. (pdf)
47. Lepskiy A.E., Bachilo S.А., Rybakov О.S. The Analysis of Two Methods for Estimation of Disckrete Noisy Curve's Curvature// Proc. of the 3th Intern. Conf. Digital Signal Processing and its Applications, Moscow, 2000, Vol. 2,  pp.12-14. (pdf)
48. Bronevich A.G., Lepskiy A.E. Some Productive Approaches of Recognizing 3D Images from External Contour// Proc. of the 7^thRussian Conf. on Artificial Intelligence with Intern. Partipition, CAI-2000, Pereslavl-Zaleski, Moscow region, Russia, 24-27 october, 2000, Vol.2, pp.557-565. (pdf)
49. Bronevich A.G., Lepskiy A.E. Two Approaches of Seeking the Minimal Polygonal Representation of Contour// Artificial Intelligence, No.3, 2000, Donetsk (Ukraine), pp.421-427. (pdf)