PRACTICAL APPLICATION OF THE MULTI-MODEL APPROACH IN THE STUDY OF COMPLEX SYSTEMS ArticleKorolkova A.V., Kulyabov D.S., Hnatič M.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12563 LNCS. 2020. P.. 526-537
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). Vol. 12563 LNCS. 2020. P.. 365-379
ONE-STEP STOCHASTIZATION METHODS FOR OPEN SYSTEMS ArticleKorolkova A., Kulyabov D.MATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019). Vol. 226. 2020.
DIAGRAM REPRESENTATION FOR THE CLOSED AND OPEN SCHLOGL MODEL ArticleАпреутесей А.М., Федоров А.В., Королькова А.В., Кулябов Д.С.Системы управления, сложные системы: моделирование, устойчивость, стабилизация, интеллектуальные технологии. 2020. P.. 156-162
EMOTIONS RECOGNITION IN HUMAN SPEECH WITH DEEP LEARNING MODELS ArticleShchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Demidova A.V.Пятая Международная конференция по стохастическим методам (МКСМ-5). 2020. P.. 368-372
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. Vol. 15. 2020. P.. 180-194
ВОЗМОЖНОСТИ ГИБРИДНОГО МОДЕЛИРОВАНИЯ СИСТЕМ С УПРАВЛЕНИЕМ НА ЯЗЫКАХ MODELICA И JULIA ArticleАпреутесей А.М., Королькова А.В., Кулябов Д.С.Distributed computer and communication networks: control, computation, communications (DCCN-2020). 2020. P.. 433-440
PARALINGUISTIC MODEL FOR EMOTIONS RECOGNITION WITH DEEP NEURAL NETWORKS ArticleShchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.Distributed computer and communication networks: control, computation, communications (DCCN-2020). 2020. P.. 42-50
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. P.. 130-138
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. P.. 418-425
COMPARATIVE ANALYSIS OF NEURAL NETWORK ARCHITECTURES FOR DIFFERENT TASKS ArticleDemidova T.S., Demidova A.V., Korolkova A.V., Kulyabov D.S.Проблемы современного мира глазами молодежи. 2020. P.. 227-232
SOFTWARE PACKAGE DEVELOPMENT FOR THE ACTIVE TRAFFIC MANAGEMENT MODULE SELF-OSCILLATION REGIME INVESTIGATION ArticleVelieva T.R., Korolkova A.V., Demidova A.V., Kulyabov D.S.ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. Vol. 761. 2019. P.. 515-525
ESSAY ON THE STUDY OF THE SELF-OSCILLATING REGIME IN THE CONTROL SYSTEM ArticleKorolkova A.V., Kulyabov D.S., Velieva T.R., Zaryadov I.S.Proceedings - European Council for Modelling and Simulation, ECMS. Vol. 33. 2019. P.. 473-480
STATISTICALLY SIGNIFICANT PERFORMANCE TESTING OF JULIA SCIENTIFIC PROGRAMMING LANGUAGE ArticleGevorkyan M.N., Demidova A.V., Korolkova A.V., Kulyabov D.S.Journal of Physics: Conference Series. Vol. 1205. 2019.
NEW FEATURES IN THE SECOND VERSION OF THE CADABRA COMPUTER ALGEBRA SYSTEM ArticleKulyabov D.S., Korol’Kova A.V., Sevast’Yanov L.A.Programming and computer software. Vol. 45. 2019. P.. 58-64