| Improving the Scopus and Aurora queries to identify research that supports the United Nations Sustainable Development Goals (SDGs) 2021 M Rivest, Y Kashnitsky, A Bédard-Vallée, D Campbell, P Khayat, ... Mendeley Data 2, 2021 | 31 | 2021 |
| Overview of the DAGPap22 shared task on detecting automatically generated scientific papers Y Kashnitsky, D Herrmannova, A de Waard, G Tsatsaronis, C Fennell, ... Third Workshop on Scholarly Document Processing, 2022 | 26 | 2022 |
| Elsevier 2022 sustainable development goals (sdg) mapping G Roberge, Y Kashnitsky, C James Mendeley Data 1, 2022, 2022 | 13 | 2022 |
| Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals Y Kashnitsky, G Roberge, J Mu, K Kang, W Wang, M Vanderfeesten, ... arXiv preprint arXiv:2209.07285, 2023 | 12 | 2023 |
| Can FCA-based recommender system suggest a proper classifier? Y Kashnitsky, DI Ignatov arXiv preprint arXiv:1504.05473, 2015 | 12 | 2015 |
| Resolving gendered ambiguous pronouns with BERT M Ionita, Y Kashnitsky, K Krige, V Larin, D Logvinenko, A Atanasov arXiv preprint arXiv:1906.01161, 2019 | 11 | 2019 |
| Lazy classification with interval pattern structures: Application to credit scoring A Masyutin, Y Kashnitsky, SO Kuznetsov Workshop Notes, 43, 2015 | 9 | 2015 |
| The CLIN33 Shared Task on the Detection of Text Generated by Large Language Models P Fivez, W Daelemans, T Van de Cruys, Y Kashnitsky, S Chamezopoulos, ... Computational Linguistics in the Netherlands Journal 13, 233-259, 2024 | 7 | 2024 |
| Overview of the DagPap24 shared task on detecting automatically generated scientific paper S Chamezopoulos, D Herrmannova, A De Waard, D Rosati, Y Kashnitsky Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP …, 2024 | 3 | 2024 |
| Lazy Associative Graph Classification. Y Kashnitsky, SO Kuznetsov FCA4AI@ IJCAI, 63-74, 2015 | 2 | 2015 |
| Visual analytics in FCA-based clustering Y Kashnitsky arXiv preprint arXiv:1504.05469, 2015 | 2 | 2015 |
| Recommender-based classifier ensemble YS Kashnitsky, DI Ignatov Intelligent systems. Theory and applications 19 (4), 37-55, 2015 | 2 | 2015 |
| How near-duplicate detection improves editors' and authors' publishing experience Y Kashnitsky, V Kandala, E van Wezenbeek, IJJ Aalbersberg, C Fennell, ... arXiv preprint arXiv:2108.04921, 2021 | 1 | 2021 |
| Query-based versus tree-based classification: application to banking data A Masyutin, Y Kashnitsky Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017 …, 2017 | 1 | 2017 |
| Global Optimization in Learning with Important Data: an FCA-Based Approach. Y Kashnitsky, SO Kuznetsov CLA, 189-201, 2016 | 1 | 2016 |
| Article Classification with Graph Neural Networks and Multigraphs K Ly, Y Kashnitsky, S Chamezopoulos, V Krzhizhanovskaya Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| Improving Article Classification with Edge-Heterogeneous Graph Neural Networks K Ly, Y Kashnitsky, S Chamezopoulos, V Krzhizhanovskaya arXiv preprint arXiv:2309.11341, 2023 | | 2023 |
| Interval Pattern Concept Lattice as a Classifier Ensemble. Y Kashnitsky, SO Kuznetsov FCA4AI@ ECAI, 105-112, 2016 | | 2016 |
| Lazy Learning of Classification Rules for Complex Structure Data. Y Kashnitsky AIST (Supplement), 73-84, 2016 | | 2016 |
| Recommender-based multiple classifier system Y Kashnitsky ECML/PKDD 2014, 21, 2014 | | 2014 |
Sergei O. Kuznetsov; Сергей О. Кузн...National Research University Higher School of Economics, MoscowVerified email at hse.ru