D3H SYMMETRY ADAPTED CORRELATED THREE CENTER WAVE FUNCTIONS OF THE GROUND AND THE FIRST FIVE EXCITED STATES OF H3+ ArticleChuluunbaatar O., Obeid S., Joulakian B.B., Gusev A.A., Krassovitskiy P.M., Sevastianov L.A.Chemical Physics Letters. Vol. 746. 2020.
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. Vol. 46. 2020. P.. 98-104
AN EFFECTIVE STABLE NUMERICAL METHOD FOR INTEGRATING HIGHLY OSCILLATING FUNCTIONS WITH A LINEAR PHASE ArticleSevastianov 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
ON METHODS FOR IMPROVING THE ACCURACY OF MULTI-CLASS CLASSIFICATION ON IMBALANCED DATA ArticleSevastianov L.A., Shchetinin E.Yu.CEUR Workshop Proceedings. Vol. 2639. 2020. P.. 70-82
ON METHODS FOR IMPROVING THE ACCURACY OF MULTICLASS CLASSIFICATION ON IMBALANCED DATA [О МЕТОДАХ ПОВЫШЕНИЯ ТОЧНОСТИ МНОГОКЛАССОВОЙ КЛАССИФИКАЦИИ НА НЕСБАЛАНСИРОВАННЫХ ДАННЫХ] ArticleSevastianov L.A., Shchetinin E.Yu.Informatika i ee Primeneniya. Vol. 14. 2020. P.. 63-70
ON SYMBOLIC INTEGRATION OF ALGEBRAIC FUNCTIONS ArticleMalykh M.D., Sevastianov L.A., Yu Y.Journal of Symbolic Computation. 2020.
ON METHODS FOR IMPROVING THE ACCURACY OF MULTI-CLASS CLASSIFICATION ON UNBALANCED DATA ArticleSevastianov L.A., Shchetinin E.Y.Информационно-телекоммуникационные технологии и математическое моделирование высокотехнологичных систем. 2020. P.. 309-312
MODELING OF KINEMATIC SUPPORTS IN SAGE ArticleKroytor O.K., Malykh M.D., Sevastianov L.A.Новые технологии высшей школы. Наука, техника, педагогика. 2020. P.. 52-59
MODELING OF A SEISMIC ISOLATION SUPPORT ArticleKroytor O.K., Malykh M.D., Sevastianov L.A.Информационные технологии и нанотехнологии (ИТНТ-2020). 2020. P.. 878-833
D3H SYMMETRY ADAPTED CORRELATED THREE CENTER WAVE FUNCTIONS OF THE GROUND AND THE FIRST FIVE EXCITED STATES OF H3+ ArticleChuluunbaatar O., Gusev A.A., Krassovitskiy P.M., Sevastianov L.A., Obeid S., Joulakian B.B.Chemical Physics Letters. Vol. 746. 2020. 137304 p..
ПРИМЕР МОДУЛЬНОГО РАСШИРЕНИЯ СИСТЕМЫ КОМПЬЮТЕРНОЙ АЛГЕБРЫ ArticleГеворкян М.Н., Королькова А.В., Кулябов Д.С., Севастьянов Л.А.Программирование. 2020. P.. 30-37
NUMERICAL DETERMINATION OF THE SINGULARITY ORDER OF A SYSTEM OF DIFFERENTIAL EQUATIONS ArticleBaddour Ali, Malykh M.D., Panin A.A., Sevastianov L.A.Discrete and Continuous Models and Applied Computational Science. Vol. 28. 2020. P.. 17-34
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. Vol. 1337. 2020. P.. 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). Vol. 12563 LNCS. 2020. P.. 365-379
DISSIPATIVITY OF THE QUANTUM MEASUREMENT MODEL ArticleZorin 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