Научные руководители
 |
Фарсеев Александр ИгоревичPhD, философские науки farseev@itmo.ru Структурное подразделение: факультет информационных технологий и программирования Должность: профессор (квалификационная категория "профессор практики") Профиль: 1.2.1. - Искусственный интеллект и машинное обучение 05.13.10 - Управление в социальных и экономических системах 05.13.18 - Математическое моделирование, численные методы и комплексы программ 05.13.11 - Математическое и программное обеспечение вычислительных машин, комплексов и компьютерных сетей 2.3.8. - Информатика и информационные процессы 2.3.5. - Математическое и программное обеспечение вычислительных систем, комплексов и компьютерных сетей 1.2.2. - Математическое моделирование, численные методы и комплексы программ 2.3.4. - Управление в организационных системах Область интересов: Social Media Computing, Multimedia Information Retrieval, Machine Learning. Системы Искусственного Интеллекта на основе Мультимодальных данных из различных источников (в том числе, Социальных Сетей); Обработка и Анализ Мульти-Модальных Данных из открытых Источников, в том числе Социальных Сетей Рабочий язык: Английский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| Farseev A. Under the Hood of Social Media Advertising: How Do We use AI Responsibly for Advertising Targeting and Creative Evaluation//16th ACM International Conference on Web Search and Data Mining, WSDM 2023, 2023, pp. 1281-1282 | 2023 | Scopus, Web of Science |
| Ian T., Nikolenko S., Farseev A. Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising//MM'23: Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 9299-9305 | 2023 | Scopus |
| Huang A., Ian T., Nikolenko S., Ongpin M., Gossoudarev I., Duong N.Y., Lepikhin K., Vishnyakov S., Chu-Farseeva Y., Farseev A. SoCraft: Advertiser-level Predictive Scoring for Creative Performance on Meta//16th ACM International Conference on Web Search and Data Mining, WSDM 2023, 2023, pp. 1132-1135 | 2023 | Scopus, Web of Science |
| Ian T., Tzelepis C., Nikolenko S., Patras I., Farseev A. "Just To See You Smile": SMILEY, a Voice-Guided GUY GAN//16th ACM International Conference on Web Search and Data Mining, WSDM 2023, 2023, pp. 1196–1199 | 2023 | Scopus, Web of Science |
| Yang Q., Farseev A., Nikolenko S., Filchenkov A. Do we behave differently on Twitter and Facebook: Multi-View Social Network User Personality Profiling for Content Recommendation//Frontiers in Big Data, 2022, Vol. 5, pp. 931206 | 2022 | Scopus, Web of Science |
| Yang Q., Huang A., Nikolenko S., Farseev A. Personality-Driven Social Multimedia Content Recommendation//MM'22: Proceedings of the 30th ACM International Conference on Multimedia, 2022, pp. 7290–7299 | 2022 | Scopus, Web of Science |
| Yang Q., Farseev A., Filchenkov A. Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling//ICDAR 2021 - Proceedings of the 2nd Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021, pp. 39-47 | 2021 | Scopus, Web of Science |
| Farseev A., Yang Q., Filchenkov A., Lepikhin K., Chu-Farseeva Y., Loo D. SoMin.ai: Personality-Driven Content Generation Platform//14th ACM International Conference on Web Search and Data Mining, WSDM 2021, 2021, pp. 890-893 | 2021 | Scopus, Web of Science |
| Krylov D., Poliakov S., Khanzhina N., Zabashta A., Filchenkov A., Farseev A. Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks//MULL 2021 - Proceedings of the 1st Workshop on Multimedia Understanding with Less Labeling, co-located with ACM MM 2021, 2021, pp. 17-25 | 2021 | Scopus |
| Yang Q., Farseev A., Filchenkov A. I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance//35th AAAI Conference on Artificial Intelligence, AAAI 2021, 2020, Vol. 34, pp. 13971-13972 | 2020 | Scopus, Web of Science |
| Samborskii I., Filchenkov A., Korneev G., Farseev A. Person, Organization, or Personage: Towards User Account Type Prediction in Microblogs//Communications in Computer and Information Science, 2019, Vol. 947, pp. 111-122 | 2019 | Scopus, Web of Science |
| Samborskii I., Farseev A., Filchenkov A., Chua T. A Whole New Ball Game: Harvesting Game Data for Player Profiling//33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 2019, pp. 10025-10026 | 2019 | Scopus, Web of Science |
| Farseev A., Buraya K., Filchenkov A. Multi-View Personality Profiling Based on Longitudinal Data//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 11018, pp. 15-27 | 2018 | Scopus, Web of Science |
| Farseev A., Chua T. Tweet can be Fit: Integrating Data from Wearable Sensors and Multiple Social Networks for Wellness Profile Learning//ACM Transactions on Information Systems, 2018, Vol. 35, No. 4, pp. 42 | 2018 | Scopus, Web of Science |
| Farseev A., Lepikhin K., Schwartz Н., Ang E., Powar K. SoMin.ai: Social Multimedia Influencer Discovery Marketplace//MM 2018 - Proceedings of the 26th ACM Multimedia Conference, 2018, pp. 1234-1236 | 2018 | Scopus, Web of Science |
| Farseev A., Samborskii I., Filchenkov A., Chua T. Cross-domain recommendation via clustering on multi-layer graphs//SIGIR 2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017, pp. 195-204 | 2017 | Scopus |
| Nie L., Zhang L., Wang M., Hong R.C., Farseev A.I., Chua T. Learning User Attributes via Mobile Social Multimedia Analytics//ACM Transactions on Intelligent Systems and Technology, 2017, Vol. 8, No. 3, pp. 1-36 | 2017 | Scopus, Web of Science |
| Farseev A.I., Chua T. TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning//31st AAAI Conference on Artificial Intelligence, AAAI 2017, 2017, pp. 95-101 | 2017 | Scopus, Web of Science |
| Buraya K., Farseev A., Filchenkov A., Chua T. Towards user personality profiling from multiple social networks//31st AAAI Conference on Artificial Intelligence, AAAI 2017, 2017, pp. 4909-4910 | 2017 | Scopus, Web of Science |
| Chowdhury A.K., Farseev A.I., Chakraborty P.R., Tjondronegoro D., Chandran V. Automatic classification of physical exercises from wearable sensors using small dataset from non-laboratory settings//2017 IEEE Life Sciences Conference, LSC 2017, 2017, pp. 1-4 | 2017 | Scopus, Web of Science |
| Farseev A., Samborskii I., Chua T. BBridge: A big data platform for social multimedia analytics//MM 2016 - Proceedings of the 24th ACM Multimedia Conference, 2016, pp. 759-761 | 2016 | Scopus |
| Farseev A.I., Kotkov D., Semenov A., Veijalainen J., Chua T. Cross-Social Network Collaborative Recommendation//WebSci 2015 - Proceedings of the 2015 ACM Web Science Conference, 2015, pp. 38 | 2015 | Scopus |
| Farseev A.I., Nie L., Mohammad A., Chua T. Harvesting multiple sources for user profile learning: a Big data study.//ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval, 2015, pp. 1-8 | 2015 | Scopus, Web of Science |
| Фарсеев А.И., Жуков Н.Н., Государев И.Б., Заричняк Ю.П. Разработка кросплатформенной рекомендательной системы на основе извлечения данных из социальных сетей // Компьютерные инструменты в образовании -2014. - № 6. - С. 28-38 | 2014 | ВАК, РИНЦ |