SYMBOLIC IMPLEMENTATION OF MULTIVECTOR ALGEBRA IN JULIA LANGUAGE ArticleGevorkyan M.N., Kulyabov D.S., Korolkova A.V., Demidova A.V., Velieva T.R.Computer Algebra. 2021. С. 57-60
COMPUTER SIMULATION OF THE STOCHASTIC RED ALGORITHM ArticleApreutesey A.M.Yu., Korolkova A.V., Kulyabov D.S.CEUR Workshop Proceedings. Том 2946. 2021. С. 45-53
ПРАКТИЧЕСКИЙ ПОДХОД К ТЕСТИРОВАНИЮ ГЕНЕРАТОРОВ СЛУЧАЙНЫХ ЧИСЕЛ СИСТЕМ КОМПЬЮТЕРНОЙ АЛГЕБРЫ ArticleГеворкян М.Н., Демидова А.В., Королькова А.В., Кулябов Д.С.Журнал вычислительной математики и математической физики. Том 60. 2020. С. 70-79
ON IMPROVING THE ACCURACY OF THE CLASSIFICATION ON IMBALANCED CLASSES WITH MACHINE LEARNING ArticleShchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A.Distributed computer and communication networks: control, computation, communications (DCCN-2020). 2020. С. 130-138
HYPERBOLIC NUMBERS AS EINSTEIN NUMBERS ArticleKulyabov D.S., Korolkova A.V., Gevorkyan M.N.Journal of Physics: Conference Series. Том 1557. 2020.
ONE-STEP STOCHASTIZATION METHODS FOR OPEN SYSTEMS ArticleKorolkova A., Kulyabov D.MATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019). Том 226. 2020.
COMPARATIVE ANALYSIS OF MACHINE LEARNING METHODS BY THE EXAMPLE OF THE PROBLEM OF DETERMINING MUON DECAY ArticleGevorkyan M.N., Demidova A.V., Kulyabov D.S.Discrete and Continuous Models and Applied Computational Science. Том 28. 2020. С. 105-119
A MODULAR EXTENSION FOR A COMPUTER ALGEBRA SYSTEM ArticleGevorkyan M.N., Korolkova A.V., Kulyabov D.S., Sevast’Yanov L.A.Programming and computer software. Том 46. 2020. С. 98-104
КЛАССИФИКАЦИЯ ПОВРЕЖДЕНИЙ КОЖИ ПО ДАННЫМ ДЕРМАСКОПИИ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ ГЛУБОКОГО ОБУЧЕНИЯ ArticleЩетинин Е.Ю., Севастьянов Л.А., Демидова А.В., Кулябов Д.С.Математическая биология и биоинформатика. Том 15. 2020. С. 180-194
MELANOMA DETECTION COMPUTER SYSTEM DEVELOPMENT WITH DEEP NEURAL NETWORKS ArticleShchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayryan E.A., Demidova A.V.Communications in Computer and Information Science. Том 1337. 2020. С. 422-434
DEEP NEURAL NETWORKS FOR EMOTION RECOGNITION ArticleShchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Том 12563 LNCS. 2020. С. 365-379
A PRACTICAL APPROACH TO TESTING RANDOM NUMBER GENERATORS IN COMPUTER ALGEBRA SYSTEMS ArticleGevorkyan M.N., Demidova A.V., Korol’Kova A.V., Kulyabov D.S.Computational Mathematics and Mathematical Physics. Том 60. 2020. С. 65-73
LANGUAGES FOR MODELING THE RED ACTIVE QUEUE MANAGEMENT ALGORITHMS: MODELICA VS. JULIA ArticleApreutesey A.M.Yu., Korolkova A.V., Kulyabov D.S.CEUR Workshop Proceedings. Том 2639. 2020. С. 130-140
THE MULTI-MODEL APPROACH TO THE STUDY OF COMPLEX SYSTEMS USING THE EXAMPLE OF THE RED ACTIVE QUEUE MANAGEMENT ALGORITHM ArticleKorolkova A.V., Kulyabov D.S., Hnatiˇc MichalDistributed computer and communication networks: control, computation, communications (DCCN-2020). 2020. С. 418-425