Kulyabov D.S. - list of publications

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ON IMPROVING THE ACCURACY OF THE CLASSIFICATION ON IMBALANCED CLASSES WITH MACHINE LEARNING

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A.

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 130-138

THE MULTI-MODEL APPROACH TO THE STUDY OF COMPLEX SYSTEMS USING THE EXAMPLE OF THE RED ACTIVE QUEUE MANAGEMENT ALGORITHM

Article

Korolkova A.V., Kulyabov D.S., Hnatiˇc Michal

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 418-425

MELANOMA DETECTION COMPUTER SYSTEM DEVELOPMENT WITH DEEP NEURAL NETWORKS

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayryan E.A., Demidova A.V.

Communications in Computer and Information Science. Springer Verlag. Vol. 1337. 2020. P. 422-434

ВОЗМОЖНОСТИ ГИБРИДНОГО МОДЕЛИРОВАНИЯ СИСТЕМ С УПРАВЛЕНИЕМ НА ЯЗЫКАХ MODELICA И JULIA

Article

Апреутесей А.М., Королькова А.В., Кулябов Д.С.

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 433-440

AN EFFECTIVE STABLE NUMERICAL METHOD FOR INTEGRATING HIGHLY OSCILLATING FUNCTIONS WITH A LINEAR PHASE

Article

Sevastianov L.A., Lovetskiy K.P., Kulyabov D.S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12138 LNCS. 2020. P. 29-43

ПРАКТИЧЕСКИЙ ПОДХОД К ТЕСТИРОВАНИЮ ГЕНЕРАТОРОВ СЛУЧАЙНЫХ ЧИСЕЛ СИСТЕМ КОМПЬЮТЕРНОЙ АЛГЕБРЫ

Article

Геворкян М.Н., Демидова А.В., Королькова А.В., Кулябов Д.С.

Журнал вычислительной математики и математической физики. Федеральное государственное бюджетное учреждение "Российская академия наук". Vol. 60. 2020. P. 70-79

PRACTICAL APPLICATION OF THE MULTI-MODEL APPROACH IN THE STUDY OF COMPLEX SYSTEMS

Article

Korolkova 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

SKIN CANCER CLASSIFICATION COMPUTER SYSTEM DEVELOPMENT WITH DEEP LEARNING

Article

Demidova A.V., Kulyabov D.S., Shchetinin E.Yu.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2639. 2020. P. 57-69

LANGUAGES FOR MODELING THE RED ACTIVE QUEUE MANAGEMENT ALGORITHMS: MODELICA VS. JULIA

Article

Apreutesey A.M.Yu., Korolkova A.V., Kulyabov D.S.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2639. 2020. P. 130-140

EMOTIONS RECOGNITION IN HUMAN SPEECH WITH DEEP LEARNING MODELS

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Demidova A.V.

Пятая Международная конференция по стохастическим методам (МКСМ-5). Российский университет дружбы народов (РУДН). 2020. P. 368-372

APPLICATION OF A NUMERICAL-ANALYTICAL APPROACH IN THE PROCESS OF MODELING DIFFERENTIAL EQUATIONS IN THE JULIA LANGUAGE

Article

Fedorov A.V., Masolova A.O., Korolkova A.V., Kulyabov D.S.

Journal of Physics: Conference Series. Institute of Physics Publishing. Vol. 1694. 2020.

PARALINGUISTIC MODEL FOR EMOTIONS RECOGNITION WITH DEEP NEURAL NETWORKS

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 42-50