Farseev A., Nikolenko S., Qi Y., Lepikhin K., You D., Chu-Farseeva Y., Gossoudarev I., Ongpin M. SOEX: Explainable AI for Competitor Communications Analytics. WWW'25: Companion Proceedings of the ACM on Web Conference 2025. 2025. pp. 2823-2826.. doi: 10.1145/3701716.3715198
Yang Q., Farseev A., Ongpin M., Huang A., Chu-Farseeva Y., You D.M., Lepikhin K., Nikolenko S. Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing. ACM Transactions on Information Systems. 2025. Vol. 43. No. 5. pp. 116.. doi: 10.1145/3725885
Gossoudarev I., Chu-Farseeva Y., Farseev A., Yang Q., Ongpin M., Nikolenko S. SOMONITOR: Combining Explainable AI & Large Language Models for Marketing Analytics. arXiv.org [база препринтов]. 2024. pp. 2407.13117.. doi: 10.48550/arXiv.2407.13117
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.. doi: 10.1145/3539597.3573031
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.. doi: 10.1145/3539597.3575791
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.. doi: 10.1145/3581783.3612817
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.. doi: 10.1145/3539597.3573032
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.. doi: 10.3389/fdata.2022.931206
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.. doi: 10.1145/3503161.3548769
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.. doi: 10.1145/3437963.3441714
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.. doi: 10.1145/3476098.3485055
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.. doi: 10.1145/3463944.3469270
CROSS-SOURCE MULTI-VIEW LEARNING FOR PERSONALITY PROFILING
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.. doi: 10.1609/aaai.v34i10.7258
Yang Q., Farseev A., Filchenkov A. Understanding Economic and Health Factors Impacting the Spread of COVID-19 Disease. medRxiv.org [база препринтов]. 2020. pp. submitted.. doi: 10.1101/2020.04.10.20058222
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.. doi: 10.1609/aaai.v33i01.330110025
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.. doi: 10.1007/978-3-030-13283-5_9
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.. doi: 10.1145/3240508.3241387
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.. doi: 10.1007/978-3-319-98932-7_2
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.. doi: 10.1145/3086676
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.
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.
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.. doi: 10.1109/LSC.2017.8268156
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.. doi: 10.1145/2963105
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.. doi: 10.1145/3077136.3080774
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.. doi: 10.1145/2964284.2973836
Samborskii I., Farseev A., Mohammad A., Chua T. 360° User Profiling: Past, Future, and Applications. ACM SIGWEB Newsletter. 2016. Vol. Summer. pp. 4.
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.. doi: 10.1145/2786451.2786504
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.. doi: 10.1145/2671188.2749381
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.
Российская Федерация, Санкт-Петербург