| Using linguistic activity in social networks to predict and interpret dark psychological traits A Moskvichev, M Dubova, S Menshov, A Filchenkov Conference on Artificial Intelligence and Natural Language, 16-26, 2017 | 8 | 2017 |
| Effects of supervision, population size, and self-play on multi-agent reinforcement learning to communicate M Dubova, A Moskvichev Artificial Life Conference Proceedings, 678-686, 2020 | 1 | 2020 |
| A Picture is Worth 7.17 Words: Learning Categories from Examples and Definitions. A Moskvichev, R Tikhonov, M Steyvers CogSci, 2406-2412, 2019 | 1 | 2019 |
| Data augmentation method for the image sentiment analysis A Rakovsky, A Moskvichev, A Filchenkov Proceeding of the AINL FRUCT 2016 Conference, Saint Petersburg, 106-109, 2016 | 1 | 2016 |
| Towards a Linguistic model of stress, well-being and Dark traits in Russian Facebook texts P Panicheva, V Ivanov, A Moskvichev, O Bogolyubova, Y Ledovaya Proceeding of the AINL-ISMW FRUCT Conference 7, 2015 | 1 | 2015 |
| Reinforcement Communication Learning in Different Social Network Structures M Dubova, A Moskvichev, R Goldstone arXiv preprint arXiv:2007.09820, 2020 | | 2020 |
| Word Games as milestones for NLP research A Moskvichev, M Steyvers | | 2019 |
| WHAT DO DARK PERSONALITIES WRITE ON FACEBOOK: AN INTERDISCIPLINARY STUDY OF SOCIAL NETWORK USERS BEHAVIOR Y Ledovaya, P Panicheva, R Tikhonov, O Bogolyubova, A Moskvichev XVI EUROPEAN CONGRESS OF PSYCHOLOGY, 1314-1314, 2019 | | 2019 |
| Adaptation Aftereffects as a Result of Bayesian Categorization. M Dubova, A Moskvichev CogSci, 1669-1675, 2019 | | 2019 |
| СРАВНЕНИЕ ОСОБЕННОСТЕЙ НАУЧЕНИЯ" ОТ ПРОСТОГО К СЛОЖНОМУ" И" ОТ СЛОЖНОГО К ПРОСТОМУ"(на примере задач перекодировки) АК МОСКВИЧЕВ, ИА ГОРБУНОВ Научные исследования выпускников факультета психологии СПбГУ 2, 195-201, 2014 | | 2014 |
| Enforcing Compositionality in Sentence Embedding Models A Moskvichev, M Steyvers | | |
