Samarin A., Savelev A., Toropov A., Dzestelova A., Motyko A., Dozortseva A., Kotenko E., Mikhailova E., Malykh V. Efficient Detection of Small-Scale Microorganisms in Microscopic Photography. Communications in Computer and Information Science. 2026. Vol. 2364. pp. 125-137.. doi: 10.1007/978-3-031-97019-1_10
Samarin A., Toropov A., Savelev A., Nazarenko A., Motyko A., Kotenko E., Dozorceva A., Dzestelova A., Mikhailova E., Malykh V. Automated Feature Engineering-Based Approach for Micrococci Microscopic Image Classification and Taxonomic Characteristics Determination. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2025. Vol. 35. No. 2. pp. 148–158.. doi: 10.1134/S1054661825700075
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.. doi: 10.1007/978-3-031-87663-9_26
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. не указан. № не указан. С. 1-5 (принята к публикации).
Samarin A., Toropov A., Savelev A., Motyko A., Kotenko E., Dzestelova A., Mikhailova E., Malykh V. ADSAR: Advanced Dual-Stream Attention and Reweighting for Small Object Detection. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2025. Vol. 35. No. 2. pp. 211–218.. doi: 10.1134/S1054661825700129
Toropov A., Samarin A., Savelev A., Nazarenko A., Котенко Е., Мотыко А., Mikhailova E., Malykh V. Enhanced Non-Local Blocks for Bacilli Segmentation over Microscopic Images. Studies in Computational Intelligence. 2025. Vol. 1241. pp. 34–46.. doi: https://doi.org/10.1007/978-3-032-07690-8_4
Samarin A., Savelev A., Toropov A., Dozortseva A., Kotenko E., Nazarenko A., Motyko A., Narova G., Mikhailova E., Malykh V. Non-Contrast Brain CT Images Segmentation Enhancement: Lightweight Pre-Processing Model for Ultra-Early Ischemic Lesion Recognition and Segmentation. Journal of Imaging. 2025. Vol. 11. No. 10. pp. 359.. doi: 10.3390/jimaging11100359
Samarin A., Toropov A., Savelev A., Nazarenko A., Motyko A., Mikhailova E., Kotenko E., Dzestelova A., Malykh V. Modernized Nonlocal Blocks for Infrared Camera Image Segmentation of the Human Eye. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2025. Vol. 35. No. 2. pp. 169-178.. doi: 10.1134/S1054661825700099
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.. doi: 10.1007/978-3-031-80463-2_13
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.. doi: 10.23919/FRUCT65909.2025.11008296
Samarin A., Toropov A., Mamaeva A., Savelev A., Kotenko E., Nazarenko A., Dozortseva A., Motyko A., Mikhailova E., Narova G., Malykh V., Babina S. Automated Wildlife Detection in Protected Areas with Camera Traps and Deep Learning. Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2025. 2025. pp. 263-267.. doi: 10.1109/USBEREIT65494.2025.11054101
Samarin A., Savelev A., Toropov A., Dozortseva A., Kotenko E., Nazarenko A., Motyko A., Narova G., Mikhailova E., Malykh V. Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction. Journal of Imaging. 2025. Vol. 11. No. 6. pp. 201.. doi: 10.3390/jimaging11060201
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. Lecture Notes in Electrical Engineering. 2025. Vol. 1449. pp. in press?.
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.. doi: 10.1007/978-3-031-87663-9_27
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.. doi: 10.23919/FRUCT65909.2025.11008221
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.. doi: 10.23919/FRUCT64283.2024.10749962
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.. doi: 10.23919/FRUCT64283.2024.10749893
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.. doi: 10.23919/FRUCT61870.2024.10516343
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.. doi: 10.1145/3632410.3632422
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.. doi: 10.1134/S1054661824700731
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.. doi: 10.1134/S1054661824701086
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.. doi: 10.1134/S1054661824701098
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.
Легковесная модель коррекции цветовой гаммы изображений
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.. doi: 10.1134/S1054661824700743
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.. doi: 10.3103/S1060992X24700693
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.. doi: 10.1134/S105466182302013X
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.. doi: 10.1134/S1054661823020128
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.. doi: 10.1007/978-3-031-37742-6_44
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.. doi: 10.1007/978-3-031-37742-6_45
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.. doi: 10.1134/S1995080223010213
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.. doi: 10.1134/S1054661822030361
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.. doi: 10.1134/S1054661822030373
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.. doi: 10.33285/1999-6934-2021-3(123)-33-36
Михайлова Е.Г., Сорокина С. Оптимизация гиперпараметров алгоритмов градиентного бустинга. Процессы управления и устойчивость. 2021. Т. 8. № 1. С. 326-331.
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.. doi: 10.23919/FRUCT52173.2021.9435533
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.. doi: 10.25726/y0879-1235-7394-c
Grafeeva N.G., Mikhailova E. Detecting public transport passenger movement patterns. Advances in Intelligent Systems and Computing. 2020. Vol. 1160 AISC. pp. 555-563.. doi: 10.1007/978-3-030-45691-7_52
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.. doi: 10.1007/978-3-030-45697-9_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.. doi: 10.1016/j.ifacol.2019.11.593
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.. doi: 10.1007/978-3-030-16181-1_6
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.
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.. doi: 10.5593/sgem2019/2.1/S07.051
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.. doi: 10.1007/978-3-030-16181-1_5
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.. doi: 10.1007/978-3-319-77712-2_84
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.
Элементы математики и статистики
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.. doi: 10.1007/978-3-319-97571-9_25
Sandul M.V., Mikhailova E.G. Keyword extraction from single Russian document. CEUR Workshop Proceedings. 2018. Vol. 2135. pp. 30-36.
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.. doi: 10.1145/3121050.3121096
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.. doi: 10.5593/sgem2017/21/S07.050
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.. doi: 10.4018/IJERTCS.2017070102
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.. doi: 10.5593/sgem2017/21/S07.065
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.. doi: 10.1007/978-3-319-40180-5_8
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.
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.. doi: 10.1109/FRUCT.2016.7584873
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.. doi: 10.23919/FRUCT.2016.7892179
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.. doi: 10.1134/S1054661816040106
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.. doi: 10.3233/978-1-61499-714-6-211
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.. doi: 10.1007/978-3-319-40180-5_10
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.. doi: 10.1109/FRUCT.2016.7584766
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