| RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback I Shenbin, A Alekseev, E Tutubalina, V Malykh, SI Nikolenko Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 310 | 2020 |
| nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset K Khrabrov, I Shenbin, A Ryabov, A Tsypin, A Telepov, A Alekseev, ... Physical Chemistry Chemical Physics 24 (42), 25853-25863, 2022 | 38 | 2022 |
| Word embeddings for user profiling in online social networks A Alekseev, S Nikolenko Computación y Sistemas 21 (2), 203-226, 2017 | 37 | 2017 |
| Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements A Savchenko, A Alekseev, S Kwon, E Tutubalina, E Myasnikov, ... Proceedings of the 28th International Conference on Computational …, 2020 | 34 | 2020 |
| DetIE: Multilingual Open Information Extraction Inspired by Object Detection M Vasilkovsky, A Alekseev, V Malykh, I Shenbin, E Tutubalina, D Salikhov, ... Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022 | 21 | 2022 |
| Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking A Alekseev, Z Miftahutdinov, E Tutubalina, A Shelmanov, V Ivanov, ... Proceedings of the 13th Conference on Language Resources and Evaluation …, 2022 | 19 | 2022 |
| DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials K Khrabrov, A Ber, A Tsypin, K Ushenin, E Rumiantsev, A Telepov, ... Advances in Neural Information Processing Systems 37, 36869-36889, 2025 | 14 | 2025 |
| RuCCoN: Clinical Concept Normalization in Russian A Nesterov, G Zubkova, Z Miftahutdinov, V Kokh, E Tutubalina, ... Findings of the Association for Computational Linguistics: ACL 2022, 239-245, 2022 | 14 | 2022 |
| AspeRa: aspect-based rating prediction model SI Nikolenko, E Tutubalina, V Malykh, I Shenbin, A Alekseev Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 13 | 2019 |
| Predicting the age of social network users from user-generated texts with word embeddings A Alekseev, SI Nikolenko 2016 IEEE Artificial Intelligence and Natural Language Conference (AINL), 1-11, 2016 | 12 | 2016 |
| Improving neural network models for natural language processing in russian with synonyms R Galinsky, A Alekseev, SI Nikolenko 2016 IEEE Artificial Intelligence and Natural Language Conference (AINL), 1-7, 2016 | 11 | 2016 |
| KyrgyzNLP: Challenges, Progress, and Future A Alekseev, T Turatali International Conference on Analysis of Images, Social Networks and Texts, 3-39, 2024 | 10 | 2024 |
| User Profiling in Text-Based Recommender Systems Based on Distributed Word Representations A Alekseev, S Nikolenko International Conference on Analysis of Images, Social Networks and Texts …, 2016 | 8 | 2016 |
| Neural Click Models for Recommender Systems M Shirokikh, I Shenbin, A Alekseev, A Volodkevich, A Vasilev, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 5 | 2024 |
| Benchmarking Multilabel Topic Classification in the Kyrgyz Language A Alekseev, S Nikolenko, G Kabaeva International Conference on Analysis of Images, Social Networks and Texts, 21-35, 2023 | 5 | 2023 |
| Machine Learning for SAT: Restricted Heuristics and New Graph Representations M Shirokikh, I Shenbin, A Alekseev, S Nikolenko arXiv preprint arXiv:2307.09141, 2023 | 5 | 2023 |
| Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification A Alekseev, E Tutubalina, V Malykh, S Nikolenko Journal of Intelligent & Fuzzy Systems 39 (2), 2487-2496, 2020 | 5 | 2020 |
| Near-Zero-Shot Suggestion Mining with a Little Help from WordNet A Alekseev, E Tutubalina, S Kwon, S Nikolenko International Conference on Analysis of Images, Social Networks and Texts, 23-36, 2022 | 4 | 2022 |
| Wear the right head: Comparing strategies for encoding sentences for aspect extraction V Malykh, A Alekseev, E Tutubalina, I Shenbin, S Nikolenko Analysis of Images, Social Networks and Texts: 8th International Conference …, 2019 | 4 | 2019 |
| LAMeD: LLM-generated Annotations for Memory Leak Detection E Shemetova, I Shenbin, I Smirnov, A Alekseev, A Rukhovich, ... 29th International Conference on Evaluation and Assessment in Software …, 2025 | 2 | 2025 |
Sergey NikolenkoSteklov Institute of Mathematics at St. Petersburg, RussiaVerified email at logic.pdmi.ras.ru
