Торопов А.Г., Самарин А.В., Савельев А.Г., Назаренко А.А., Мотыко А., Михайлова Е.Г., Котенко Е., Дзестелова А.А., Малых В.А. Modernized Nonlocal Blocks for Infrared Camera Image Segmentation of the Human Eye. XXVI INTERNATIONAL CONFERENCE DAMDID/RCDL-2024 OCTOBER 23–25, 2024, NIZHNY NOVGOROD, RUSSIAN FEDERATION / Selected Conference Papers. 2025. Vol. 35. pp. 169–178.
Toropov A., Samarin A., Savelev A., Nazarenko A., Котенко Е., Дозорцева А., Мотыко А., Mikhailova E., Egorova O., Malykh V. Specialized Image Descriptors Adaptation for Diplococci Recognition in Microscopic Images. Advancements in Signal, Image and Video Processing: Select Proceedings of SPIN 2025, Volume 1. 2025. pp. in press?.
Топольницкий А.А., Михайлова Е.Г. ИССЛЕДОВАНИЕ ПОДХОДОВ ОБРАБОТКИ СЛОЖНО СТРУКТУРИРОВАННЫХ ИЗОБРАЖЕНИЙ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ МАШИННОГО И ГЛУБОКОГО ОБУЧЕНИЯ. Альманах научных работ молодых ученых Университета ИТМО. 2025. Т. 1. С. 1-5 (принята к публикации).
Торопов А.Г., Савельев А.Г., Самарин А.В., Назаренко А.А., Мотыко А., Котенко Е., Дозорцева А., Дзестелова А.А., Михайлова Е.Г., Малых В.А. Automated Feature Engineering-Based Approach for Micrococci Microscopic Image Classification and Taxonomic Characteristics Determination. XXVI INTERNATIONAL CONFERENCE DAMDID/RCDL-2024 OCTOBER 23–25, 2024, NIZHNY NOVGOROD, RUSSIAN FEDERATION / Selected Conference Papers. 2025. Vol. 35. pp. 148–158.
Торопов А.Г., Самарин А.В., Савельев А.Г., Мотыко А., Котенко Е., Дзестелова А.А., Михайлова Е.Г., Малых В.А. ADSAR: Advanced Dual-Stream Attention and Reweighting for Small Object Detection. XXVI INTERNATIONAL CONFERENCE DAMDID/RCDL-2024 OCTOBER 23–25, 2024, NIZHNY NOVGOROD, RUSSIAN FEDERATION / Selected Conference Papers. 2025. Vol. 35. pp. 211–218.
Samarin A., Toropov A., Kotenko E., Nazarenko A., Mikhailova E., Malykh V., Savelev A., Motyko A. Specialized Image Descriptors Adaptation for Generated Images Recognition. Proceedings of the 37th Conference of Open Innovations Association FRUCT. 2025. pp. 278-284.
Samarin A., Savelev A., Toropov A., Dzestelova A., Motyko A., Kotenko E., Mikhailova E., Malykh V. Modified Attention Block for Detecting Cars at a Great Distance. Studies in Computational Intelligence. 2025. Vol. 1179. pp. 133-146.
Samarin A., Toropov A., Savelev A., Kotenko E., Nazarenko A., Motyko A., Dzestelova A., Mikhailova E., Dozortseva A., Malykh V. Custom Descriptors Applications for Endoscopy Images Classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2025. Vol. 15616. pp. 321-332.
Samarin A., Toropov A., Savelev A., Dozortseva A., Motyko A., Kotenko E., Nazarenko A., Dzestelova A., Mikhailova E., Malykh V. Filter-Based Preprocessing Neural Network Model for Microorganism Detection Improvement. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2025. Vol. 15616. pp. 308–320.
Samarin A., Toropov A., Kotenko E., Nazarenko A., Mikhailova E., Malykh V., Savelev A., Motyko A. Lightweight Image Pre-processing Model for Improving Segmentation of Infrared Human Eye Images. Proceedings of the 37th Conference of Open Innovations Association FRUCT. 2025. pp. 271-277.
Toropov A., Samarin A., Savelev A., Дозорцева А.К., Котенко Е., Nazarenko A., Мотыко А., Narova G., Mikhailova E., Malykh V. Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction. Journal of Imaging. 2025. No. 11(6). pp. 201.
Samarin A., Toropov A., Dzestelova A., Nazarenko A., Kotenko E., Mikhailova E., Savelev A., Motyko A. Specialized Non-local Blocks for Recognizing Tumors on Computed Tomography Snapshots of Human Lungs. Proceedings of the 35th Conference of Open Innovations Association FRUCT. 2024. pp. 659-664.
Samarin A., Toropov A., Dzestelova A., Nazarenko A., Kotenko E., Mikhailova E., Malykh V., Savelev A., Motyko A., Dozortseva A. AutoML Applications for Bacilli Recognition by Taxonomic Characteristics Determination over Microscopic Images. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 903-911.
Samarin A., Nazarenko A., Toropov A., Kotenko E., Dzestelova A., Mikhailova E., Malykh V., Savelev A., Motyko A. Universal Filter-Based Lightweight Image Enhancement Model with Unpaired Learning Mode. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 711-720.
Samarin A., Mamaeva A., Toropov A., Dzestelova A., Kotenko E., Nazarenko A., Mikhailova E., Malykh V., Savelev A., Motyko A. Wind Turbines Surface Damage Automatic Detection Using YOLOv8 with Specialized Backbone Modification. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 702-710.
Мамаева А.С., Михайлова Е.Г. Предиктивная диагностика поверхностных повреждений ветрогенераторов с использованием моделей глубокого обучения. Альманах научных работ молодых ученых Университета ИТМО. 2024. Т. 2. С. 121-124.
Samarin A., Savelev A., Toropov A., Nazarenko A., Motyko A., Kotenko E., Dozorceva A., Dzestelova A., Mikhailova E., Malykh V. Streptococci Recognition in Microscope Images Using Taxonomy-based Visual Features. Optical Memory and Neural Networks (Information Optics). 2024. Vol. 33. No. Suppl.3. pp. S424–S434.
Klyuchikov E., Polyntsov M., Chizhov A., Mikhailova E., Chernishev G. Hybrid Materialization in a Disk-Based Column-Store. ACM International Conference Proceeding Series. 2024. pp. 164-172.
Samarin A., Nazarenko A., Savelev A., Toropov A., Dzestelova A., Mikhailova E., Motyko A., Malykh V. A Model Based on Universal Filters for Image Color Correction. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2024. Vol. 34. No. 3. pp. 844-854.
Samarin A., Savelev A., Toropov A., Nazarenko A., Golovatiuk A., Dmitriev P., Dzestelova A., Mikhailova E., Motyko A., Malykh V. Segmentation of the Iris and Pupil of the Human Eye in Images from an Infrared Camera. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2024. Vol. 34. No. 3. pp. 855-862.
Samarin A., Toropov A., Savelev A., Котенко Е., Nazarenko A., Мотыко А., Dzestelova A., Mikhailova E., Дозорцева А., Malykh V. Specialized Image Descriptors Adaptation for Polyp Recognition over Endoscopic Images. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2024. Vol. 34. No. 4. pp. 1053–1060.
Samarin A., Toropov A., Savelev A., Дозорцева А., Мотыко А., Котенко Е., Nazarenko A., Dzestelova A., Mikhailova E., Malykh V. Lightweight Image Preprocessing Model for Improving Microorganism Detection in Microscopic Scenes. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2024. Vol. 34. No. 4. pp. 1044–1052.
Легковесная модель коррекции цветовой гаммы изображений
Kiva P., Grafeeva N., Mikhailova E. A machine learning approach to calculating the non-equilibrium diffusion coefficients in the state-to-state solution of the Navier–Stokes equations. Lobachevskii Journal of Mathematics. 2023. Vol. 44. No. 1. pp. 170-177.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. The Complete Study of the Movement Strategies of Trained Agents for Visual Descriptors of Advertising Signs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 13644. pp. 571-585.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. Prior Segmentation and Attention Based Approach to Neoplasms Recognition by Single-Channel Monochrome Computer Tomography Snapshots. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 13644. pp. 561-570.
Samarin A., Toropov A., Savelev A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. Predictors Based on Convolutional Neural Networks for the Movement Strategy of Trainable Agents for Building Customized Image Descriptors. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2023. Vol. 33. No. 2. pp. 139-146.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. One-Stage Classifiers Based on U-Net and Autoencoder with Attention for Recognition of Neoplasms from Single-Channel Monochrome Computed Tomography Images. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2023. Vol. 33. No. 2. pp. 132-138.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. One-staged attention-based neoplasms recognition method for single-channel monochrome Computer Tomography snapshots. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2022. Vol. 32. No. 3. pp. 645-650.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. Trainable agents movement strategies for advertising sign visual descriptors. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2022. Т. 32. № 3. С. 651-657.
Niyazov A., Mikhailova E., Egorova O. Content-based Music Recommendation System. Proceedings of the 29th Conference of Open Innovations Association FRUCT. 2021. pp. 274-279.
Лукина М.В., Егорова О.Б., Бойцев А.А., Михайлова Е.Г., Романов А.А. Технологические особенности создания курсов для онлайн-обучения. Управление образованием: теория и практика. 2021. № 3(43). С. 78-89.
Бекмачева В.О., Михайлова Е.Г., Егорова О.Б. Использование цифровых технологий в управлении качеством работ при разведке залежей нефти и газа. Оборудование и технологии для нефтегазового комплекса. 2021. № 3(123). С. 33-36.
Михайлова Е.Г., Сорокина С. Оптимизация гиперпараметров алгоритмов градиентного бустинга. Процессы управления и устойчивость. 2021. Т. 8. № 1. С. 326-331.
Grafeeva N.G., Mikhailova E. Detecting public transport passenger movement patterns. Advances in Intelligent Systems and Computing. 2020. Vol. 1160 AISC. pp. 555-563.
Mikhailova E., Boitsev A., Egorova O., Grafeeva N.G., Romanov A., Volchek D. Curriculum for Digital Culture at ITMO University. Advances in Intelligent Systems and Computing. 2020. Vol. 1161 AISC. pp. 235-244.
Ilinykh S., Grafeeva N.G., Mikhailova E., Egorova O. Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations. Advances in Intelligent Systems and Computing. 2019. Vol. 930. pp. 58-67.
Mikhailova N., Mikhailova E., Grafeeva N.G. The Application of Clustering Techniques to Group Archaeological Artifacts. Advances in Intelligent Systems and Computing. 2019. Vol. 930. pp. 50-57.
Volzhina E., Mikhailova E., Ganshin A. Machine learning methods in weather forecasts. 19th International Multidisciplinary Scientific GeoConference, SGEM 2019. 2019. Vol. 19. No. 2.1. pp. 391-398.
Михайлова Е.Г., Шехонин А.А., Елисеева О.В., Егорова О.Б. "Цифровая культура" в университете ИТМО. Современное образование: содержание, технологии, качество [материалы конференции]. 2019. Т. 1. С. 20-23.
Grafeeva N.G., Mikhailova E., Tretyakov I. Quality Analysis of Urban Transit System in Megacities. IFAC-PapersOnLine. 2019. Vol. 52. No. 13. pp. 2566-2571.
Grafeeva N.G., Tretyakov I., Mikhailova E. Quality Analysis of Urban Transit System in St. Petersburg. Advances in Intelligent Systems and Computing. 2018. Vol. 746. pp. 889-898.
Элементы математики и статистики
Sandul M.V., Mikhailova E.G. Keyword extraction from single Russian document. CEUR Workshop Proceedings. 2018. Vol. 2135. pp. 30-36.
Михайлова Е.Г. Блок дисциплин «Цифровая культура» в образовательных программах бакалавриата и магистратуры Университета ИТМО. Современное образование: содержание, технологии, качество [материалы конференции]. 2018. Т. 1. С. 98-100.
Diurdeva P., Mikhailova E. Investigation of text attribution methods based on frequency author profile. Communications in Computer and Information Science. 2018. Vol. 838. pp. 314-327.
Grafeeva N.G., Mikhailova E.G., Pashkova M., Ilinykh S. Magnetometry data processing to detect archaeological sites. 18th International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM-2018. 2017. Vol. 17. No. 21. pp. 393-400.
Malkevich S., Markov I., Mikhailova E.G., De Rijke M. Evaluating and analyzing click simulation inweb search. ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. 2017. pp. 281-284.
Mikhailova E.G., Diurdeva P., Shalymov D.S. N-Gram Based Approach for Text Authorship Classification: Metric Selection. International Journal of Embedded and Real-Time Communication Systems. 2017. Vol. 8. No. 2. pp. 24-39.
Grafeeva N.G., Mikhailova E.G., Nogova E., Tretyakov I. Passenger traffic analysis based on St. Petersburg public transport. 18th International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM-2018. 2017. Vol. 17. No. 21. pp. 509-516.
Diurdeva P., Mikhailova E.G., Shalymov D.S. Writer identification based on letter frequency distribution. Proceedings of the 19th Conference of Open Innovations Association FRUCT. 2016. pp. 7892179.
Kozmirchuk A., Kokorev A., Nesterov V., Mikhailova E.G. PostgreSQL service with backup and recovery for cloud foundry. Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016) (Saint-Petersburg, 28 August-4 September 2016). 2016. pp. 7584766.
Новиков Б.А., Графеева Н.Г., Михайлова Е.Г. Базы данных: современный пейзаж в исторической перспективе. Компьютерные инструменты в образовании. 2016. № 1. С. 5-16.
Dubatovka A., Mikhailova E.G., Zotov M.A., Novikov B. Algorithms for Extracting Mental Activity Phases from Heart Beat Rate Streams. Communications in Computer and Information Science. 2016. Vol. 615. pp. 113-125.
Volzhina E., Chudin A., Novikov B., Grafeeva N.G., Mikhailova E.G. Discovering geo-magnetic anomalies: A clustering-based approach. Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016) (Saint-Petersburg, 28 August-4 September 2016). 2016. pp. 71-77.
Busarov V., Grafeeva N.G., Mikhailova E.G. The choice of optimal algorithm for frequent itemset mining. Frontiers in Artificial Intelligence and Applications. 2016. Vol. 291. pp. 211-224.
Busarov V., Grafeeva N.G., Mikhailova E.G. A comparative analysis of algorithms for mining frequent itemsets. Communications in Computer and Information Science. 2016. Vol. 615. pp. 136-150.
Mikhailova V.S., Grafeeva N.G., Mikhailova E.G., Chudin A.V. Magnetometry data processing to detect archaeological sitesPattern Recognition and Image Analysis. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2016. Vol. 26. No. 4. pp. 789-799.
Новиков Б.А., Графеева Н.Г., Михайлова Е.Г. BIG DATA: новые задачи и современные подходы. Компьютерные инструменты в образовании. 2014. № 4. С. 10-18.
Российская Федерация
Российская Федерация
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург