Научные руководители
Михайлова Елена Георгиевнакандидат физико-математических наук, доцент e.mikhailova@itmo.ru Структурное подразделение: высшая школа цифровой культуры Должность: директор Структурное подразделение: высшая школа цифровой культуры Должность: доцент (квалификационная категория "ординарный доцент") Профиль: 2.3.1. - Системный анализ, управление и обработка информации, статистика 1.2.1. - Искусственный интеллект и машинное обучение Область интересов: Машинное обучение Компьютерное зрение NLP / Системный анализ, управление и обработка информации, статистика Рабочий язык: Русский |
Публикации руководителя
Выходные данные | Год | Индексирование в БД |
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 | 2024 | Scopus, Web of Science |
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 | 2024 | Scopus, Web of Science |
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 | 2024 | RSCI, Scopus, Web of Science, Белый список, ВАК, РИНЦ |
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 | 2023 | Scopus, Web of Science |
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 | 2023 | RSCI, Scopus, Web of Science, Белый список, ВАК, РИНЦ |
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 | 2023 | Scopus, Web of Science |
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 | 2023 | RSCI, Scopus, Web of Science, Белый список, ВАК, РИНЦ |
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 | 2023 | RSCI, Scopus, Web of Science, Белый список, ВАК, РИНЦ |
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 | 2022 | RSCI, Scopus, Web of Science, ВАК, РИНЦ |
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 | 2022 | RSCI, Scopus, Web of Science, ВАК, РИНЦ |
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 | 2021 | ВАК, РИНЦ |
Михайлова Е.Г., Сорокина С. Оптимизация гиперпараметров алгоритмов градиентного бустинга // Процессы управления и устойчивость -2021. - Т. 8. - № 1. - С. 326-331 | 2021 | РИНЦ |
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 | 2021 | Scopus, Web of Science |
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 | 2021 | ВАК, РИНЦ |
Grafeeva N.G., Mikhailova E. Detecting public transport passenger movement patterns//Advances in Intelligent Systems and Computing, 2020, Vol. 1160 AISC, pp. 555-563 | 2020 | Scopus, Web of Science |
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 | 2020 | Scopus, Web of Science |
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 | 2019 | Scopus |
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 | 2019 | Scopus, Web of Science |
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 | 2019 | РИНЦ |
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 | 2019 | Scopus, Web of Science |
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 | 2019 | Scopus, Web of Science |
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 | 2018 | РИНЦ |
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 | 2018 | Scopus, Web of Science |
Sandul M.V., Mikhailova E.G. Keyword extraction from single Russian document//CEUR Workshop Proceedings, 2018, Vol. 2135, pp. 30-36 | 2018 | Scopus |
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 | 2018 | Scopus, Web of Science |
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 | 2017 | Scopus |
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 | 2017 | Scopus |
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 | 2017 | Scopus |
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 | 2017 | Scopus |
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 | 2016 | Scopus, Web of Science |
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 | 2016 | ВАК, РИНЦ |
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 | 2016 | Scopus, Web of Science |
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 | 2016 | Scopus, Web of Science |
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 | 2016 | Scopus, ВАК, РИНЦ |
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 | 2016 | Scopus, Web of Science |
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 | 2016 | Scopus, Web of Science |
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 | 2016 | Scopus, Web of Science |
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 | 2014 | ВАК, РИНЦ |