Sevastianov L.A. - list of publications

ON TRANSFER LEARNING METHODS IN BIOMEDICAL IMAGES CLASSIFICATION TASKS [О МЕТОДАХ ПЕРЕНОСА ГЛУБОКОГО ОБУЧЕНИЯ В ЗАДАЧАХ КЛАССИФИКАЦИИ БИОМЕДИЦИНСКИХ ИЗОБРАЖЕНИЙ]

Article

Shchetinin E.Yu., Sevastianov L.A.

Informatika i ee Primeneniya. Федеральный исследовательский центр "Информатика и управление" РАН. Vol. 15. 2021. P. 59-64

CARDIAC ARRHYTHMIA DISORDERS DETECTION WITH DEEP LEARNING MODELS

Article

Shchetinin E.Y., Sevastianov L.A., Demidova A.V., Glushkova A.G.

Communications in Computer and Information Science. Springer Science and Business Media Deutschland GmbH. Vol. 1552 CCIS. 2022. P. 371-384

ON DIFFERENTIAL APPROXIMATIONS OF DIFFERENCE SCHEMES

Article

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

Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics. Saratov National Research State University. Vol. 21. 2021. P. 472-488

THE FOURTH CONFERENCE "COMPUTER ALGEBRA" IN MOSCOW

Article

Abramov S.A., Ryabenko A., Sevastianov L.A., Zonn Y., Wu M.

ACM COMMUNICATIONS IN COMPUTER ALGEBRA. ASSOC COMPUTING MACHINERY. Vol. 55. 2021. P. 30-38

THE XI INTERNATIONAL CONFERENCE INFORMATION AND TELECOMMUNICATION TECHNOLOGIES AND MATHEMATICAL MODELING OF HIGH-TECH SYSTEMS

Article

Samouylov K.E., Sevastianov L.A., Kulyabov D.S.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2946. 2021. P. 1-5

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.

ON CALCULATION OF THE GROUP OF AUTOMORPHISMS OF HYPERELLIPTIC CURVES

Article

Malykh V.D., Sevastianov L.A.

Journal of Mathematical Sciences (United States). Springer New York LLC. Vol. 251. 2020. P. 395-404

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

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

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

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

LEAKY WAVES IN PLANAR DIELECTRIC WAVEGUIDE

Article

Divakov D.V., Egorov A.A., Lovetskiy K.P., Sevastianov L.A., Drevitskiy A.S.

Discrete and Continuous Models and Applied Computational Science. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 27. 2019. P. 325-342

NUMERICAL MODELING OF STATIONARY PSEUDOSPIN WAVES ON A GRAPHENE MONOATOMIC FILMS

Article

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

Discrete and Continuous Models and Applied Computational Science. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 27. 2019. P. 365-377

CALCULATION OF PROBABILITY DENSITY DISTRIBUTION OF ULTRACOLD ATOMS AND MOLECULES IN WAVEGUIDE-LIKE TRAPS

Article

Melezhik V.S., Sevastianov L.A.

Communications in Computer and Information Science. Springer Verlag. Vol. 1141 CCIS. 2019. P. 536-546

О СИМВОЛЬНОМ ИНТЕГРИРОВАНИИ В КУРСЕ МАТЕМАТИЧЕСКОГО АНАЛИЗА

Article

Малых М.Д., Севастьянов А.Л., Севастьянов Л.А.

Компьютерные инструменты в образовании. Санкт-Петербургский государственный электротехнический университет "ЛЭТИ" им. В.И. Ульянова (Ленина). 2019. P. 94-106

Севастьянов Л.А.

List of records

ON TRANSFER LEARNING METHODS IN BIOMEDICAL IMAGES CLASSIFICATION TASKS [О МЕТОДАХ ПЕРЕНОСА ГЛУБОКОГО ОБУЧЕНИЯ В ЗАДАЧАХ КЛАССИФИКАЦИИ БИОМЕДИЦИНСКИХ ИЗОБРАЖЕНИЙ]

CARDIAC ARRHYTHMIA DISORDERS DETECTION WITH DEEP LEARNING MODELS

ON DIFFERENTIAL APPROXIMATIONS OF DIFFERENCE SCHEMES

THE FOURTH CONFERENCE "COMPUTER ALGEBRA" IN MOSCOW

THE XI INTERNATIONAL CONFERENCE INFORMATION AND TELECOMMUNICATION TECHNOLOGIES AND MATHEMATICAL MODELING OF HIGH-TECH SYSTEMS

MODELLING LEAKY WAVES IN PLANAR DIELECTRIC WAVEGUIDES

ON CALCULATION OF THE GROUP OF AUTOMORPHISMS OF HYPERELLIPTIC CURVES

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

DISSIPATIVITY OF THE QUANTUM MEASUREMENT MODEL

DEEP NEURAL NETWORKS FOR EMOTION RECOGNITION

MELANOMA DETECTION COMPUTER SYSTEM DEVELOPMENT WITH DEEP NEURAL NETWORKS

LEAKY WAVES IN PLANAR DIELECTRIC WAVEGUIDE

NUMERICAL MODELING OF STATIONARY PSEUDOSPIN WAVES ON A GRAPHENE MONOATOMIC FILMS

CALCULATION OF PROBABILITY DENSITY DISTRIBUTION OF ULTRACOLD ATOMS AND MOLECULES IN WAVEGUIDE-LIKE TRAPS

О СИМВОЛЬНОМ ИНТЕГРИРОВАНИИ В КУРСЕ МАТЕМАТИЧЕСКОГО АНАЛИЗА

Other authors

Lovetsky K.P.

Tretiakov N.P.