| Blockchain evaluation approaches: State-of-the-art and future perspective S Smetanin, A Ometov, M Komarov, P Masek, Y Koucheryavy Sensors 20 (12), 3358, 2020 | 103 | 2020 |
| The applications of sentiment analysis for Russian language texts: current challenges and future perspectives S Smetanin IEEE Access 8, 110693-110719, 2020 | 82 | 2020 |
| Deep transfer learning baselines for sentiment analysis in Russian S Smetanin, M Komarov Information Processing & Management 58 (3), 102484, 2021 | 75 | 2021 |
| Sentiment analysis of product reviews in Russian using convolutional neural networks S Smetanin, M Komarov 2019 IEEE 21st conference on business informatics (CBI) 1, 482-486, 2019 | 72 | 2019 |
| Toxic Comments Detection in Russian S Smetanin Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2020 | 20 | 2020 |
| Modeling of distributed ledgers: Challenges and future perspectives S Smetanin, A Ometov, N Kannengießer, B Sturm, M Komarov, A Sunyaev 2020 IEEE 22nd Conference on Business Informatics (CBI) 1, 162-171, 2020 | 13 | 2020 |
| The method of converting an expert opinion to Z-number EA Glukhoded, SI Smetanin Труды Института системного программирования РАН 28 (3), 7-20, 2016 | 10 | 2016 |
| EmoSense at SemEval-2019 task 3: bidirectional LSTM network for contextual emotion detection in textual conversations S Smetanin Proceedings of the 13th International Workshop on Semantic Evaluation, 210-214, 2019 | 7 | 2019 |
| Share of toxic comments among different topics: the case of Russian social networks S Smetanin, M Komarov 2021 IEEE 23rd Conference on Business Informatics (CBI) 2, 65-70, 2021 | 6 | 2021 |
| RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian S Smetanin PeerJ Computer Science 8, e1039, 2022 | 5 | 2022 |
| Misclassification bias in computational social science: a simulation approach for assessing the impact of classification errors on social indicators research S Smetanin, M Komarov IEEE Access 10, 18886-18898, 2022 | 5 | 2022 |
| The program for public mood monitoring through Twitter content in Russia SI Smetanin Труды Института системного программирования РАН 29 (4), 315-324, 2017 | 5 | 2017 |
| Pulse of the nation: observable subjective well-being in Russia inferred from social network Odnoklassniki S Smetanin Mathematics 10 (16), 2947, 2022 | 3 | 2022 |
| How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki S Smetanin PeerJ Computer Science 8, e1164, 2022 | 1 | 2022 |
| The voice of Twitter: observable subjective well-being inferred from tweets in Russian S Smetanin, M Komarov PeerJ Computer Science 8, e1181, 2022 | | 2022 |
| Sentiment Analysis Of Tweets In Russian Save Abandoned S Smetanin, M Komarov | | 2019 |
| Product Reviews Sentiment Analysis in Russian S Smetanin, M Komarov SYRCoSE 2018, 164, 2018 | | 2018 |
