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 | 22 | 2021 |
Elsevier 2022 sustainable development goals (sdg) mapping G Roberge, Y Kashnitsky, C James Mendeley Data 1, 2022, 2022 | 12 | 2022 |
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 | 12 | 2022 |
Can FCA-based recommender system suggest a proper classifier? Y Kashnitsky, DI Ignatov arXiv preprint arXiv:1504.05473, 2015 | 11 | 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 | 10 | 2019 |
Lazy classification with interval pattern structures: Application to credit scoring A Masyutin, Y Kashnitsky, SO Kuznetsov Workshop Notes, 43, 2015 | 8 | 2015 |
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 | 4 | 2023 |
Lazy Associative Graph Classification. Y Kashnitsky, SO Kuznetsov FCA4AI@ IJCAI, 63-74, 2015 | 2 | 2015 |
Global Optimization in Learning with Important Data: an FCA-Based Approach. Y Kashnitsky, SO Kuznetsov CLA, 189-201, 2016 | 1 | 2016 |
Recommender-based classifier ensemble YS Kashnitsky, DI Ignatov Intelligent systems. Theory and applications 19 (4), 37-55, 2015 | 1 | 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 | | 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 |
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 | | 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 | | 2017 |
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 |
Visual analytics in FCA-based clustering Y Kashnitsky arXiv preprint arXiv:1504.05469, 2015 | | 2015 |
Recommender-based multiple classifier system Y Kashnitsky ECML/PKDD 2014, 21, 2014 | | 2014 |
Proceedings of the International Workshop" What can FCA do for Artificial Intelligence?"(FCA4AI 2014) SO Kuznetsov, A Napoli, S Rudolph International Workshop" What can FCA do for Artificial Intelligence?"(FCA4AI …, 2014 | | 2014 |
Infobright: оптимизация SQL запросов с помощью приближений теории неточных множеств Д Слезак, ЮС Кашницкий, СО Кузнецов | | |