2022 Повышение квалификации: Самарский университет, Инклюзивное профессиональное образование
2022 Повышение квалификации: Самарский университет, Навыки оказания первой помощи
2021 Повышение квалификации: Самарский университет, Электронная информационно-образовательная среда университета
2019 Повышение квалификации: ICFSP 2019 Франция, Марсель, "Международная конференция по обработке сигналов (ICFSP 2019)"
2018 Повышение квалификации: IEEE Power Electronics Society, г.Берн, Швейцария, по теме "Signal Processing & Neural Networks"
2018 Повышение квалификации: Самарский университет, "Навыки оказания первой помощи"
2018 Повышение квалификации: Самарский университет, Электронная информационно-образовательная среда университета
2018 Повышение квалификации: Самарский университет, "Инклюзивное профессиональное образование"
2018 Стажировка: Университет Париж-юг XI, г.Пуатье, Франция, "Современные методы обработки изображений и распознование образов"
2017 Стажировка: IEEE France Section, г.Париж, Франция
2017 Стажировка: Международная зимняя школа BigDat2017, г.Бари, Италия, Обработка сверхбольших объемов данных
2016 Повышение квалификации: Самарский университет
2011 - 2013 Высшее образование - специалитет, магистратура: Самарский государственный аэрокосмический университет имени академика С.П.Королева, факультет Информатика
2007 - 2011 Высшее образование - бакалавриат: Самарский государственный аэрокосмический университет имени академика С.П.Королева, факультет Информатика
2024
1Artem Mukhin, Paringer R., Gribanov D. etc. Automated Lightweight Descriptor Generation for Hyperspectral Image Analysis // Optical Memory and Neural Networks (Information Optics) 2024. — Vol. 33. Issue 3. № 3. — P. 264-275
2Gribanov D., Paringer R., Savelyev D.An investigation into the application of neural networks for optical vertex image segmentation // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
3Gribanov D., Kilbas I., Mukhin A. etc. Effect of Encoder Architectures on the Generation of Vector Representations for Modeling 3D Objects via the Space of Convex Sets // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
4Choudhary K., Kupriyanov A., Paringer R. etc. Spatiotemporal Variations of Gross Primary Productivity for Cropland Using Machine Learning Approach // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
5Kilbas I., Gribanov D., Mukhin A. etc. Expanding the Context of Large Language Models Via Linear Interpolation of Positional Embeddings // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
6Pchelkina Y., Paringer R., Savelyeva P. Dental Anomalies Detection Based on the Analysis of Reconstructed Intraoral Scan Images // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
2023
1Gabbasov R.R., Paringer R.A.Method of Temporal Interpolation of the Corroding Gas Pipeline Wall Thickness Values Coordinated with a Physical Model // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
2Bibikov S.A., Petrov M.V., Alekseyev A.P. etc. Color consistency method for cameras with unknown model // Computer Optics 2023. — Vol. 47. Issue 1. № 1. — P. 92-101
3Singh Boori M., Choudhary K., Paringer R. etc. Machine learning for yield prediction in Fergana valley, Central Asia // Journal of the Saudi Society of Agricultural Sciences 2023. — Vol. 22. — P. 107-120
5Asatryan D., Haroutunian M., Kurkchiyan V. etc. Dissimilarity-based algorithms for fabric defects detection // AIP Conference Proceedings. — 2023. — Vol. 2757.
6Gabbasov R.R., Paringer R., Kupriyanov A. etc. A method of coordinated optimization of neural network parameters for a given set of images // AIP Conference Proceedings. — 2023. — Vol. 2757.
7Konevsky V., Gaidel A., Asatryan D. etc. Multiclass classification of texture images using greedy feature selection algorithms // AIP Conference Proceedings. — 2023. — Vol. 2757.
8Pchelkina Yu.Zh., Paringer R.A., Kupriyanov A.V.The active contours method analysis in solving cephalometry problems // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
9Boori M.S., Choudhary K., Paringer R. etc. Wheat Yield Estimation and Predication Via Machine Learning // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
10Asatryan D., Haroutunian M., Sazhumyan G. etc. Comparative Quality Analysis of Image Global Binarization Procedures // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
11Demin N.S., Ilyasova N.Y., Paringer R.A. etc. Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images // Computer Optics 2023. — Vol. 47. Issue 5. № 5. — P. 824-831
12Demin N.S., Ilyasova N.Yu., Paringer R.A.Automatic Selection of the Optimal Zone for Laser Exposure According to the Fundus Images for Laser Coagulation // Journal of Biomedical Photonics and Engineering 2023. — Vol. 9. Issue 4. № 4.
13Asatryan D.G., Haroutunian M.E., Sazhumyan G.S. etc. Hybrid Binarization Method for Historical Handwritten Documents // Programming and Computer Software 2023. — Vol. 49. — P. S45-S50
2022
1Ilyasova N.Y., Paringer R.A., Shirokanev A. S. etc. An Approach to Semantic Segmentation of Retinal Images Using Deep Neural Networks for Mapping Laser Exposure Zones for the Treatment of Diabetic Macular Edema // Lecture Notes in Networks and Systems. — 2022. — Vol. 330 LNNS. — P. 106-116
2Boori M.S., Choudhary K., Paringer R. etc. Using RS/GIS for spatiotemporal ecological vulnerability analysis based on DPSIR framework in the Republic of Tatarstan, Russia // Ecological Informatics 2022. — Vol. 67.
3Paringer R.A., Mukhin A.V., Ilyasova N.Y. etc. Neural network application for semantic segmentation of fundus // Computer Optics 2022. — Vol. 46. Issue 4. № 4. — P. 596-602
4Asatryan D., Haroutunian M., Kupriyanov A. etc. Automatic Dominant Orientation Estimation in Texture Images Using the Scattering Ellipse of the Gradients // Optical Memory and Neural Networks (Information Optics) 2022. — Vol. 31. — P. 1-7
5Mukhin A., Danil G., Paringer R.Semantic Segmentation of Hyperspectral Imaging Using Convolutional Neural Networks // Optical Memory and Neural Networks (Information Optics) 2022. — Vol. 31. — P. 38-47
6Khotilin M.I., Paringer R.A., Kupriyanov A.V. etc. Estimation of hyperspectral images bands similarity using textural properties // 3rd International Workshop at the American University of Armenia, College of Science & Engineering. — 2022. — P. 76-83
7Kilbas I., Gribanov D., Paringer R.A neural network based algorithm for classification of sets of human body keypoints // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
8Boori M.S., Choudhary K., Paringer R.A. etc. Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework // Computer Optics 2022. — Vol. 46. Issue 4. № 4. — P. 634-642
9Mukhin A.V., Kilbas I.A., Paringer R.A. etc. A method for balancing a multi-labeled biomedical dataset // INTEGRATED COMPUTER-AIDED ENGINEERING 2022. — Vol. 29. Issue 2. — P. 209-225
10Boori M.S., Choudhary K., Paringer R. etc. Ecosystem health comparison in between Tatarstan and Samara State, Russia // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
11Choudhary K., Shi W., Dong Y. etc. Random Forest for rice yield mapping and prediction using Sentinel-2 data with Google Earth Engine // Advances in Space Research 2022. — Vol. 70. Issue 8. № 8. — P. 2443-2457
12Pchelkina Y.Z., Paringer R., Savelyeva P. etc. The Application of Image Mining Methods in Cephalometric Analisys // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
2021
1Boori M.S., Choudhary K., Paringer R. etc. Eco-environmental quality assessment based on pressure-state-response framework by remote sensing and GIS // Remote Sensing Applications: Society and Environment 2021. — Vol. 23.
2Rudinskaya E. A. , Paringer R.Analysis of the data influence on the training of Haar cascades for face detection // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
3Boori M.S., Choudhary K., Paringer R. etc. Spatiotemporal ecological vulnerability analysis with statistical correlation based on satellite remote sensing in Samara, Russia // JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021. — Vol. 285.
4Kupriyanov A., Asatryan D., Haroutunian M. etc. Structural Intellectual Techniques for Texture Image Analysis // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
5Mukhin A., Paringer R., Ilyasova N.Feature selection algorithm with feature space separability estimation using discriminant analysis // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
6Paringer R.A., Mukhin A.V., Kupriyanov A.V.Formation of an informative index for recognizing specified objects in hyperspectral data // Computer Optics 2021. — Vol. 45. Issue 6. — P. 873-878
7Kilbas I., Paringer R., Gaydel A. V. etc. A neural network model for tracking marker objects in a video // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
8Ilyasova N., Shirokanev A. S. , Kirsh D. etc. Identification of prognostic factors and predicting the therapeutic effect of laser photocoagulation for dme treatment // Electronics (Switzerland) 2021. — Vol. 10. Issue 12.
9Boori M.S., Choudhary K., Paringer R. etc. Ecosystem Health Assessment Based on Pressure State Response Framework Using Remote Sensing and Geographical Information System // IOP Conference Series: Earth and Environmental Science. — 2021. — Vol. 767. Issue 1.
10Gribanov D., Paringer R., Rycarev I. A. Algorithm for extracting textural properties of specified image classes // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
2Donon Y., Paringer R.A., Kupriyanov A.V.Parameters selection for Blurred Image Matching // IRCE 2020 - 2020 3rd International Conference on Intelligent Robotics and Control Engineering. — 2020. — P. 58-61
3Ilyasova N.Y., Shirokanev A. S. , Klimov I. etc. Convolutional Neural Network Application for Analysis of Fundus Images // Advances in Intelligent Systems and Computing. — 2020. — Vol. 1156 AISC. — P. 60-67
4Mukhin Artem Vladimirovich, Kilbas I.A., Paringer R.A. etc. Algorithm for Data Balancing Based on Gradient Descent // 2nd International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2020). — 2020. — P. 56-59
5Mukhin Artem Vladimirovich, Kilbas I.A., Paringer R.A. etc. Применение метода градиентного спуска для балансировки данных в задачах анализа диагностических изображений // Application of the gradient descent for data balancing in diagnostic image analysis problems. — 2020. — Vol. 2. — P. 291-298
6Donon Ya. , Kupriyanov A., Kirsh D. etc. Extended anomaly detection and breakdown prediction in LINAC 4's RF power source output // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
7Gabbasov R. R. , Paringer R.Influence of the receptive field size on accuracy and performance of a convolutional neural network // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
8Ilyasova N., Demin N., Shirokanev A. S. etc. Fundus Image Segmentation Using Decision Trees // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
9Kilbas I., Paringer R.Gradient as a Foundation for Building a Loss Function // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
10Donon Y., Kupriyanov A., Paringer R.Image normalization for blurred image matching // CEUR Workshop Proceedings. — 2020. — Vol. 2667. — P. 127-131
11Rudinskaya E. A. , Paringer R.Face detection accuracy study based on race and gender factor using haar cascades // CEUR Workshop Proceedings. — 2020. — Vol. 2667. — P. 238-242
12Mukhin A., Kilbas I., Paringer R. etc. Application of the gradient descent for data balancing in diagnostic image analysis problems // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
13Kilbas Igor Aleksandrovich, R. Paringer, N. Ilyasova etc. Modifying Gradient of a Loss Function to Tackle Class Imbalance // 2nd International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2020). — 2020. — P. 52-55
14Ilyasova N.Y., Shirokanev A. S. , Demin N.S. etc. Information Technology for Decision-making Support for Personalized Parameter Selection in Retinal Laser Treatment and Photocoagulation Outcome Prognostication // Optical Memory and Neural Networks (Information Optics) 2020. — Vol. 29. Issue 4. — P. 358-367
2019
1Mukhin A. S. , Rycarev I. A. , Paringer R.A. etc. Determining the proximity of groups in social networks based on text analysis using big data // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 521-526
2Donon Y., Paringer R., Kupriyanov A.Binary data storage, retrieval and feature calculation on Netezza PureData system for Analytics // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
3Ilyasova N., Shirokanev A. S. , Paringer R. etc. Biomedical data analysis based on parallel programming technology application for computation features' effectiveness // 2019 5th International Conference on Frontiers of Signal Processing, ICFSP 2019. — 2019. — P. 67-71
4Buri M., Paringer R.A., Choudkhari K. etc. Vegetation drought dynamics analysis in European Russia // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — Vol. 2. — P. 254-261
5Donon Ya., Paringer R.A., Kupriyanov A.V.Image storage optimization and feature calculation on Netezza database system // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — Vol. 4. — P. 187-190
6Khotilin M.I., Kravcova N.S., Kupriyanov A.V. etc. Восстановление изображений социальных сетей, подвергшихся обработке, на примере социальной сети Instagram // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — Vol. 4. — P. 788-791
7Kravcova N.S., Paringer R.A., Kupriyanov A.V.Формирование набора информативных областей пространственного спектра и его свойства // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — Vol. 4. — P. 753-756
8Boori M.S., Choudhary K., Paringer R. etc. Monitoring crop phenology using NDVI time series from sentinel 2 satellite data // 2019 5th International Conference on Frontiers of Signal Processing, ICFSP 2019. — 2019. — P. 62-66
9Ilyasova N., Shirokanev A. S. , Demin N. etc. Graph-based segmentation for diabetic macular edema selection in OCT images // 2019 5th International Conference on Frontiers of Signal Processing, ICFSP 2019. — 2019. — P. 77-81
10Rycarev I. A. , Paringer R.A., Kupriyanov A.V. etc. Application of principal component analysis to identify semantic differences and estimate relative positioning of network communities in the study of social networks content // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
11Donon Y., Paringer R., Kupriyanov A. etc. Blur-robust image registration and stitching // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
12Boori M.S., Paringer R., Choudhary K. etc. Vegetation drought dynamic analysis in European Russia // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 11-22
13Ilyasova N.Y., Shirokanev A. S. , Kupriyanov A.V. etc. Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina // Computer Optics 2019. — Vol. 43. Issue 2. — P. 304-315
14Rycarev I. A. , Kupriyanov A.V., Kirsh D.V. etc. Research and analysis of messages of users of social networks using BigData technology // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 504-509
15Khotilin M. I. , Kravtsova N.S., Kupriyanov A.V. etc. Restoration of images of social networks that have undergone processing, on the example of the social network Instagram // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 566-569
16Donon Ya. , Kupriyanov A., Kirsh D. etc. Anomaly detection and breakdown prediction in RF power source output: A review of approaches // CEUR Workshop Proceedings. — 2019. — Vol. 2507. — P. 99-104
2018
1Khotilin M. I. , Paringer R.A., Rycarev I. A. etc. Technology for automatically characterizing the primary colors of the image and counting the number of objects // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 251-256
2Khorin P.A., Ilyasova N.Y., Paringer R.A.Informative feature selection based on the zernike polynomial coefficients for various pathologies of the human eye cornea // Computer Optics 2018. — Vol. 42. Issue 1. — P. 159-166
3Ilyasova N.Y., Shirokanev A. S. , Kupriyanov A.V. etc. Methods of Intellectual Analysis in Medical Diagnostic Tasks Using Smart Feature Selection // Pattern Recognition and Image Analysis 2018. — Vol. 28. Issue 4. — P. 637-645
4Boori M.S., Paringer R., Choudhary K. etc. Supervised and unsupervised classification for obtaining land use/cover classes from hyperspectral and multi-spectral imagery // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10773.
5Boori M.S., Paringer R., Choudhary K. etc. Land cover classification and build spectral library from hyperspectral and multi-spectral satellite data: A data comparison study in Samara, Russia // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 390-401
6Paringer R., Boori M.S., Donon Y. etc. Development of technology for the identification of model parameters for dendritic structures images // 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018. — 2018. — P. 84-88
7Khorin P.A., Ilyasova N.Yu., Paringer R.A.Выделение информативных признаков на основе коэффициентов полиномов Цернике при различных патологиях роговицы человеческого глаза // Computer Optics 2018. — Vol. 42. № 1. — P. 159-166
8Ilyasova N., Kupriyanov A., Paringer R. etc. Particular Use of BIG DATA in Medical Diagnostic Tasks // Pattern Recognition and Image Analysis 2018. — Vol. 28. Issue 1. — P. 114-121
9Boori M.S., Paringer R.A., Choudhary K. etc. Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance // Computer Optics 2018. — Vol. 42. Issue 6. — P. 1035-1045
10Kirsh D., Kupriyanov A., Paringer R. etc. Structural identification of crystal lattices based on fuzzy neural network approach // 24rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2016 - Short Papers Proceedings. — 2018. — Vol. 2802. Issue May. — P. 183-189
11Paringer R., Donon Y., Boori M.S. etc. Information analysis of geometrical and statistical features of dendritical structures images // Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018. — 2018. — P. 577-581
12Rycarev I. A. , Kozlov D. D. , Kravtsova N.S. etc. Application of the principal component analysis to detect semantic differences during the content analysis of social networks // CEUR Workshop Proceedings. — 2018. — Vol. 2212. — P. 262-269
13Ilyasova N.Yu., Shirokanev A. S. , Paringer R.A. etc. A modified technique for smart textural feature selection to extract retinal regions of interest using image pre-processing // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
14Boori M.S., Choudhary K., Paringer R. etc. RS/GIS Technology for groundwater potentiality assessment hydrological analysis // 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018. — 2018. — P. 160-163
2017
1Biryukova E., Paringer R., Kupriyanov A.Development of informative neighborhood selection technology for modeling texture images // CEUR Workshop Proceedings. — 2017. — Vol. 1901. — P. 32-36
2Boori M.S., Choudhary K., Paringer R.A. etc. Food vulnerability analysis in the central dry zone of Myanmar // Computer Optics 2017. — Vol. 41. Issue 4. — P. 552-558
3Boori M.S., Paringer R., Choudhary K. etc. Using hyperspectral and multi-spectral remote sensing data to build spectral library for land cover classification in Samara, Russia // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. — 2017. — Vol. 17. Issue 43. — P. 593-600
4Ilyasova N., Shirokanev A. S. , Kirsh D. etc. Development of coagulate map formation algorithms to carry out treatment by laser coagulation // Procedia Engineering. — 2017. — Vol. 201. — P. 271-279
5Boori M.S., Choudhary K., Evers M. etc. A review of food security and flood risk dynamics in central dry zone area of Myanmar // Procedia Engineering. — 2017. — Vol. 201. — P. 231-238
6Kravtsova N.S., Paringer R.A., Kupriyanov A.V.Parallel implementation of the informative areas generation method in the spatial spectrum domain // Computer Optics 2017. — Vol. 41. Issue 4. — P. 585-587
7Ilyasova N., Kirsh D., Paringer R. etc. Coagulate map formation algorithms for laser eye treatment // 2017 3rd International Conference on Frontiers of Signal Processing, ICFSP 2017. — 2017. — P. 120-124
8Ilyasova N., Paringer R., Kupriyanov A. etc. Intelligent feature selection technique for segmentation of fundus images // 7th International Conference on Innovative Computing Technology, INTECH 2017. — 2017. — P. 138-143
9Ilyasova N., Paringer R., Shirokanev A. S. etc. A smart feature selection technique for object localization in ocular fundus images with the aid of color subspaces // Procedia Engineering. — 2017. — Vol. 201. — P. 736-745
10Kravtsova N., Paringer R., Kupriyanov A.Development of parallel implementation of the informative areas generation method in the spatial spectrum domain // CEUR Workshop Proceedings. — 2017. — Vol. 1902. — P. 51-54
2016
1Boori M.S., Choudhary K., Kupriyanov A.V. etc. Land use/cover change detection and vulnerability assessment in Indigirka River Basin, Eastern Siberia, Russia // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 270-283
2Biryukova E., Paringer R., Kupriyanov A.V.Development of the effective set of features construction technology for texture image classes discrimination // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 263-269
3Kravtsova N., Paringer R., Kupriyanov A.Development of methods for crystallogramms images classification based on technique of detection informative areas in the spectral space // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 357-363
4Ilyasova N.Yu., Paringer R.A., Kupriyanov A.V. etc. The effective features formation for the identification of regions of interest in a fundus images // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 788-795
5Ilyasova N., Paringer R., Kupriyanov A.Regions of interest in a fundus image selection technique using the discriminative analysis methods // International Conference on Computer Vision and Graphics, ICCVG 2016. — 2016. — Vol. 9972 LNCS. — P. 408-417
2015
1Paringer R.A., Kupriyanov A.V.Development of parallel implementation for the dendritic crystallograms modeling algorithm // CEUR Workshop Proceedings. — 2015. — Vol. 1490. — P. 285-289
2Ilyasova N.Y., Kupriyanov A.V., Paringer R.A.The discriminant analysis application to refine the diagnostic features of blood vessels images // Optical Memory and Neural Networks (Information Optics) 2015. — Vol. 24. Issue 4. — P. 309-313
2014
1Ilyasova N.Y., Kupriyanov A.V., Paringer R.A.Formation of features for improving the quality of medical diagnosis based on discriminant analysis methods // Computer Optics 2014. — Vol. 38. Issue 4. — P. 851-855