Sevastianov L.A. - list of publications

DETECTION OF CARDIAC ARRHYTHMIA BASED ON THE ANALYSIS OF ELECTROCARDIOGRAM USING DEEP LEARNING MODELS

Article

Shchetinin Eugene.Yu., Sevastyanov L.A., Demidova A.V., Blinkov Y.A.

Distributed computer and communication networks: control, computation, communications (DCCN-2021). Институт проблем управления им. В.А. Трапезникова РАН. 2021. P. 41-47

ON SYMBOLIC INTEGRATION OF ALGEBRAIC FUNCTIONS

Article

Malykh M.D., Sevastianov L.A., Yu Y.

Journal of Symbolic Computation. Academic Press. 2020.

ПРИМЕР МОДУЛЬНОГО РАСШИРЕНИЯ СИСТЕМЫ КОМПЬЮТЕРНОЙ АЛГЕБРЫ

Article

Геворкян М.Н., Королькова А.В., Кулябов Д.С., Севастьянов Л.А.

Программирование. Федеральное государственное бюджетное учреждение "Российская академия наук". 2020. P. 30-37

D3H SYMMETRY ADAPTED CORRELATED THREE CENTER WAVE FUNCTIONS OF THE GROUND AND THE FIRST FIVE EXCITED STATES OF H3+

Article

Chuluunbaatar O., Obeid S., Joulakian B.B., Gusev A.A., Krassovitskiy P.M., Sevastianov L.A.

Chemical Physics Letters. Elsevier. Vol. 746. 2020.

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

SOLVING THE INVERSE PROBLEM FOR DETERMINING THE OPTICAL CHARACTERISTICS OF MATERIALS

Article

Lovetski K.P., Zhukov A.A., Paukshto M.V., Sevastianov L.A., Tiutiunnik A.A.

Discrete and Continuous Models and Applied Computational Science. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 28. 2020. P. 378-397

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

RECONSTRUCTION OF MULTIVARIABLE FUNCTIONS BY MEANS OF THE SCHEME OF METRIC ANALYSIS

Article

Kryanev A.V., Ivanov V.V., Sevastianov L.A., Udumyan D.K.

Пятая Международная конференция по стохастическим методам (МКСМ-5). Российский университет дружбы народов (РУДН). 2020. P. 325-328

ON METHODS FOR IMPROVING THE ACCURACY OF MULTI-CLASS CLASSIFICATION ON IMBALANCED DATA

Article

Sevastianov L.A., Shchetinin E.Yu.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2639. 2020. P. 70-82

ON PERIODIC APPROXIMATE SOLUTIONS OF THE THREE-BODY PROBLEM FOUND BY CONSERVATIVE DIFFERENCE SCHEMES

Article

Ayryan E.A., Malykh M.D., Sevastianov L.A., Ying Y.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12291 LNCS. 2020. P. 77-90

MODELLING LEAKY WAVES IN PLANAR DIELECTRIC WAVEGUIDES

Article

Ayryan E., Divakov D., Egorov A., Lovetskiy K., Sevastianov L.

MATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019). E D P SCIENCES. Vol. 226. 2020.

ALEXANDER ANDREEVICH SHESTAKOV (TO HIS CENTENARY)

Article

Дружинина О.В., Евтушенко Ю.Г., Игонина Е.В., Костюк Ф.В., Масина О.Н., Мельников Р.А., Флёров Ю.А., Савчин В.М., Севастьянов Л.А., Седова Н.О., Щенникова Е.В.

Системы управления, сложные системы: моделирование, устойчивость, стабилизация, интеллектуальные технологии. Елецкий государственный университет им. И.А. Бунина. 2020. P. 10-21

A MODULAR EXTENSION FOR A COMPUTER ALGEBRA SYSTEM

Article

Gevorkyan M.N., Korolkova A.V., Kulyabov D.S., Sevast’yanov L.A.

Programming and computer software. Vol. 46. 2020. P. 98-104

MELANOMA DETECTION WITH DEEP NEURAL NETWORKS

Article

Shchetinin E.Y., Sevastianov L.A., 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. 33-41

D3H SYMMETRY ADAPTED CORRELATED THREE CENTER WAVE FUNCTIONS OF THE GROUND AND THE FIRST FIVE EXCITED STATES OF H3+

Article

Chuluunbaatar O., Gusev A.A., Krassovitskiy P.M., Sevastianov L.A., Obeid S., Joulakian B.B.

Chemical Physics Letters. Elsevier. Vol. 746. 2020. 137304 p.

MODELING OF A SEISMIC ISOLATION SUPPORT

Article

Kroytor O.K., Malykh M.D., Sevastianov L.A.

Информационные технологии и нанотехнологии (ИТНТ-2020). Самарский национальный исследовательский университет имени академика С.П. Королева. 2020. P. 878-833

О МЕТОДАХ ПОВЫШЕНИЯ ТОЧНОСТИ МНОГОКЛАССОВОЙ КЛАССИФИКАЦИИ НА НЕСБАЛАНСИРОВАННЫХ ДАННЫХ

Article

Севастьянов Л.А., Щетинин Е.Ю.

Informatika i ee Primeneniya. Федеральный исследовательский центр "Информатика и управление" РАН. Vol. 14. 2020. P. 63-70

ON METHODS FOR IMPROVING THE ACCURACY OF MULTI-CLASS CLASSIFICATION ON UNBALANCED DATA

Article

Sevastianov L.A., Shchetinin E.Y.

Информационно-телекоммуникационные технологии и математическое моделирование высокотехнологичных систем. Российский университет дружбы народов (РУДН). 2020. P. 309-312

DEEP NEURAL NETWORKS FOR EMOTION RECOGNITION

Article

Shchetinin 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

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

DISSIPATIVITY OF THE QUANTUM MEASUREMENT MODEL

Article

Zorin A.V., Sevastianov L.A., Tretyakov N.P.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12023 LNCS. 2020. P. 171-185

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

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

NUMERICAL DETERMINATION OF THE SINGULARITY ORDER OF A SYSTEM OF DIFFERENTIAL EQUATIONS

Article

Baddour Ali, Malykh M.D., Panin A.A., Sevastianov L.A.

Discrete and Continuous Models and Applied Computational Science. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 28. 2020. P. 17-34

ON METHODS FOR IMPROVING THE ACCURACY OF MULTICLASS CLASSIFICATION ON IMBALANCED DATA [О МЕТОДАХ ПОВЫШЕНИЯ ТОЧНОСТИ МНОГОКЛАССОВОЙ КЛАССИФИКАЦИИ НА НЕСБАЛАНСИРОВАННЫХ ДАННЫХ]

Article

Sevastianov L.A., Shchetinin E.Yu.

Informatika i ee Primeneniya. Федеральный исследовательский центр "Информатика и управление" РАН. Vol. 14. 2020. P. 63-70

Севастьянов Л.А.

List of records

DETECTION OF CARDIAC ARRHYTHMIA BASED ON THE ANALYSIS OF ELECTROCARDIOGRAM USING DEEP LEARNING MODELS

ON SYMBOLIC INTEGRATION OF ALGEBRAIC FUNCTIONS

ПРИМЕР МОДУЛЬНОГО РАСШИРЕНИЯ СИСТЕМЫ КОМПЬЮТЕРНОЙ АЛГЕБРЫ

D3H SYMMETRY ADAPTED CORRELATED THREE CENTER WAVE FUNCTIONS OF THE GROUND AND THE FIRST FIVE EXCITED STATES OF H3+

MELANOMA DETECTION COMPUTER SYSTEM DEVELOPMENT WITH DEEP NEURAL NETWORKS

SOLVING THE INVERSE PROBLEM FOR DETERMINING THE OPTICAL CHARACTERISTICS OF MATERIALS

PARALINGUISTIC MODEL FOR EMOTIONS RECOGNITION WITH DEEP NEURAL NETWORKS

RECONSTRUCTION OF MULTIVARIABLE FUNCTIONS BY MEANS OF THE SCHEME OF METRIC ANALYSIS

ON METHODS FOR IMPROVING THE ACCURACY OF MULTI-CLASS CLASSIFICATION ON IMBALANCED DATA

ON PERIODIC APPROXIMATE SOLUTIONS OF THE THREE-BODY PROBLEM FOUND BY CONSERVATIVE DIFFERENCE SCHEMES

MODELLING LEAKY WAVES IN PLANAR DIELECTRIC WAVEGUIDES

ALEXANDER ANDREEVICH SHESTAKOV (TO HIS CENTENARY)

A MODULAR EXTENSION FOR A COMPUTER ALGEBRA SYSTEM

MELANOMA DETECTION WITH DEEP NEURAL NETWORKS

D<SUB>3H</SUB> SYMMETRY ADAPTED CORRELATED THREE CENTER WAVE FUNCTIONS OF THE GROUND AND THE FIRST FIVE EXCITED STATES OF H<SUB>3</SUB><SUP>+</SUP>

MODELING OF A SEISMIC ISOLATION SUPPORT

О МЕТОДАХ ПОВЫШЕНИЯ ТОЧНОСТИ МНОГОКЛАССОВОЙ КЛАССИФИКАЦИИ НА НЕСБАЛАНСИРОВАННЫХ ДАННЫХ

ON METHODS FOR IMPROVING THE ACCURACY OF MULTI-CLASS CLASSIFICATION ON UNBALANCED DATA

DEEP NEURAL NETWORKS FOR EMOTION RECOGNITION

EMOTIONS RECOGNITION IN HUMAN SPEECH WITH DEEP LEARNING MODELS

DISSIPATIVITY OF THE QUANTUM MEASUREMENT MODEL

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

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

NUMERICAL DETERMINATION OF THE SINGULARITY ORDER OF A SYSTEM OF DIFFERENTIAL EQUATIONS

ON METHODS FOR IMPROVING THE ACCURACY OF MULTICLASS CLASSIFICATION ON IMBALANCED DATA [О МЕТОДАХ ПОВЫШЕНИЯ ТОЧНОСТИ МНОГОКЛАССОВОЙ КЛАССИФИКАЦИИ НА НЕСБАЛАНСИРОВАННЫХ ДАННЫХ]

Other authors

Lovetsky K.P.

Tretiakov N.P.