Научные руководители
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Макаров Илья АндреевичPhD, технические науки iamakarov@itmo.ru Структурное подразделение: институт прикладных компьютерных наук Должность: доцент (квалификационная категория "ординарный доцент") Структурное подразделение: физический факультет Должность: научный сотрудник Профиль: 1.2.1. - Искусственный интеллект и машинное обучение Область интересов: ИИ в промышленности, компьютерное зрение, дополненная реальность, ИИ в видео-играх, обработка текстов, мультиагентные системы, умный город, обучение с подкреплением, эмоциональный ИИ, обработка речи и аудио перевод Рабочий язык: Английский, Русский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| Ivanov P., Shtark M., Kozhevnikov A., Golyadkin M., Botov D., Makarov I. SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis//IEEE Access, 2025, Vol. 13, pp. 25186-25197 | 2025 | Scopus, Web of Science, Белый список |
| Golyadkin M., Saraev S., Makarov I. Advancing Sequential Manga Colorization for AR Through Data Synthesis//IEEE Access, 2025, Vol. 13, pp. 7526-7537 | 2025 | Scopus, Web of Science, Белый список |
| Shtark M., Kozhevnikov A., Ivanov P., Makarov I. Poster Abstract: Minimizing Labeling Efforts for Fault Detection and Diagnosis//SenSys '25: Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025, pp. 666-667 | 2025 | Scopus, Web of Science |
| Ivanov P., Kozhevnikov A., Shtark M., Makarov I. Poster Abstract: Exploring the Autoencoder Sequence Pooling//SenSys '25: Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025, pp. 606-607 | 2025 | Scopus, Web of Science |
| Golyadkin M., Shtark M., Ivanov P., Kozhevnikov A., Zhukov L., Makarov I. Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring//33th International Joint Conference on Artificial Intelligence, IJCAI 2024, 2024, pp. 8669-8673 | 2024 | Scopus, Web of Science |
| Golyadkin M., Saraev S., Makarov I. Benchmarking and Data Synthesis for Colorization of Manga Sequential Pages for Augmented Reality//2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2024, pp. 608-611 | 2024 | Scopus, Web of Science |
| Mozikov M., Severin N., Bodishtianu V., Glushanina M., Nasonov I., Orekhov D., Pekhotin V., Makovetskiy I., Baklashkin M., Lavrentyev V., Tsvigun A., Turdakov D., Shavrina T., Savchenko A., Makarov I. EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas//Advances in Neural Information Processing Systems, 2024, Vol. 37, pp. 1-15 | 2024 | Scopus, Web of Science |
| Novopoltsev M., Tulenkov A., Murtazin R., Akhidov R., Zemtsova I., Bojarskaja E., Bondarenko D., Savchenko A., Makarov I. Video-based learning of sign languages: one pre-train to fit them all//2024 IEEE International Conference on Data Mining Workshops (ICDMW), 2024, pp. 899-902 | 2024 | Scopus |
| Luginov A., Makarov I. SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices//2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023, pp. 642-647 | 2023 | Scopus, Web of Science |
| Gerasimova O., Severin N., Makarov I. Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom//IEEE Access, 2023, Vol. 11, pp. 88074-88086 | 2023 | Scopus, Web of Science, Белый список |
| Gerasyov M., Makarov I. Dealing With Sparse Rewards Using Graph Neural Networks//IEEE Access, 2023, Vol. 11, pp. 89180-89187 | 2023 | Scopus, Web of Science, Белый список |
| Semenkov I., Fedosov N., Makarov I., Ossadtchi A. Real-time low latency estimation of brain rhythms with deep neural networks//Journal of Neural Engineering, 2023, Vol. 20, No. 5, pp. 056008 | 2023 | Scopus, Web of Science, Белый список |
| Kiselev D., Makarov I. Exploration in Sequential Recommender Systems via Graph Representations//IEEE Access, 2022, Vol. 10, pp. 123614-123621 | 2022 | Scopus, Web of Science |
| Savchenko A., Makarov I., Savchenko L.V. Classifying emotions and engagement in online learning based on a single facial expression recognition neural network//IEEE Transactions on Affective Computing, 2022, Vol. 13, No. 4, pp. 2132-2143 | 2022 | Scopus, Web of Science |
| Makarov I., Korovina K., Kiselev D. JONNEE: Joint Network Nodes and Edges Embedding//IEEE Access, 2021, Vol. 9, pp. 144646-144659 | 2021 | Scopus, Web of Science |