Finding of optimal subset structure in the knapsack problem SV Chebakov, LV Serebryanaya Doklady BGUIR, 72-79, 2019 | 3 | 2019 |
Model of automatic classification and localization of images LV Serebryanaya, KY Bochkarev, AY Popitich Digital Transformation, 2019 | 2 | 2019 |
Methods for constructing artificial neural networks for data classification LV SEREBRYANAYA ЦИФРОВАЯ ТРАНСФОРМАЦИЯ, 21, 2022 | 1 | 2022 |
Algorithm of finding a set of Pareto on a final set of initial data SV Chebakov, LV Serebryanaya Digital Transformation, 2017 | 1 | 2017 |
Algorithm for solving the knapsack problem with certain properties of pareto layers SV Chebakov, LV Serebryanaya Journal of the Belarusian State University. Mathematics and Informatics 3, 54-66, 2022 | | 2022 |
Methods for Determining the Size of three-Dimensional Objects in Images LV Serebryanaya, VN Breshko Digital Transformation, 2021 | | 2021 |
Automatic Image Colorization Based on Convolutional Neural Networks LV Serebryanaya, VV Potaraev ЦИФРОВАЯ ТРАНСФОРМАЦИЯ, 58, 2020 | | 2020 |
METHODS OF TEXT INFORMATION CLASSIFICATION ON THE BASIS OF ARTIFICIAL NEURAL AND SEMANTIC NETWORKS LV Serebryanaya, VV Potaraev Informatics, 95-103, 2017 | | 2017 |
Porter advanced method for the Universal Decimal Classification F Tretyakov, L Serebryanaya CERES, 23, 2016 | | 2016 |
OPTIMIZATION OF THE PROBLEM SOLVING WITH LIMITED RESOURCE SV Chebakov, LV Serebryanaya Doklady BGUIR, 46-52, 2016 | | 2016 |
Automatic Universal Decimal Classification based on frequency advanced method F Tretyakov, L Serebryanaya CERES, 69, 2015 | | 2015 |
AUTOMATIC CONSTRUCTION METHODS OF ABSTRACTS ON THE BASIS OF THE TEXTS FREQUENCY ANALYSIS FI Tretyakov, LV Serebryanaya Doklady BGUIR, 40-44, 2014 | | 2014 |
Method of Construction of pareto set At a dynamic initial data reception SV Chebakov, LV Serebryanaya Doklady BGUIR, 83-87, 2013 | | 2013 |
ALGORITHM OF DECISION GIVEN COMBINATORIAL TASKS ON THE BASE OF MANY-CRITARIAL OPTIMIZATION MODEL SV CHEBAKOV, LV SEREBRYANAYA ека БГУИР, 22, 0 | | |