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ORCIDYury Kashnitsky
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2020 – today
- 2024
[j1]Yury Kashnitsky
, Guillaume Roberge, Jingwen Mu, Kevin Kang, Weiwei Wang, Maurice Vanderfeesten, Maxim Rivest, Savvas Chamezopoulos, Robert Jaworek, Maéva Vignes, Bamini Jayabalasingham, Finne Boonen, Chris James, Marius A. Doornenbal, Isabelle Labrosse:
Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals. Quant. Sci. Stud. 5(2): 408-425 (2024)- [c10]Khang Ly, Yury Kashnitsky, Savvas Chamezopoulos, Valeria V. Krzhizhanovskaya:
Article Classification with Graph Neural Networks and Multigraphs. LREC/COLING 2024: 1539-1547 - 2023
- [i6]Khang Ly, Yury Kashnitsky, Savvas Chamezopoulos, Valeria V. Krzhizhanovskaya:
Improving Article Classification with Edge-Heterogeneous Graph Neural Networks. CoRR abs/2309.11341 (2023) - 2022
- [c9]Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard, George Tsatsaronis, Catriona Fennell, Cyril Labbé:
Overview of the DAGPap22 Shared Task on Detecting Automatically Generated Scientific Papers. SDP@COLING 2022: 210-213 - [i5]Yury Kashnitsky, Guillaume Roberge, Jingwen Mu, Kevin Kang, Weiwei Wang, Maurice Vanderfeesten, Maxim Rivest, Lennart Keßler, Robert Jaworek, Maéva Vignes, Bamini Jayabalasingham, Finne Boonen, Chris James, Marius A. Doornenbal, Isabelle Labrosse:
Identifying research supporting the United Nations Sustainable Development Goals. CoRR abs/2209.07285 (2022) - 2021
- [i4]Yury Kashnitsky, Vaishnavi Kandala, Egbert van Wezenbeek, IJsbrand Jan Aalbersberg, Catriona Fennell, Georgios Tsatsaronis:
How near-duplicate detection improves editors' and authors' publishing experience. CoRR abs/2108.04921 (2021)
2010 – 2019
- 2019
- [i3]Matei Ionita, Yury Kashnitsky, Ken Krige, Vladimir Larin, Denis Logvinenko, Atanas Atanasov:
Resolving Gendered Ambiguous Pronouns with BERT. CoRR abs/1906.01161 (2019) - 2017
- [c8]Alexey Masyutin, Yury Kashnitsky:
Query-Based Versus Tree-Based Classification: Application to Banking Data. ISMIS 2017: 664-673 - 2016
- [c7]Yury Kashnitsky:
Lazy Learning of Classification Rules for Complex Structure Data. AIST (Supplement) 2016: 73-84 - [c6]Yury Kashnitsky, Sergei O. Kuznetsov:
Global Optimization in Learning with Important Data: an FCA-Based Approach. CLA 2016: 189-201 - [c5]Yury Kashnitsky, Sergei O. Kuznetsov:
Interval Pattern Concept Lattice as a Classifier Ensemble. FCA4AI@ECAI 2016: 105-112 - 2015
- [c4]Alexey Masyutin, Yury Kashnitsky, Sergei O. Kuznetsov:
Lazy Classication with Interval Pattern Structures: Application to Credit Scoring. FCA4AI@IJCAI 2015: 43-54 - [c3]Yury Kashnitsky, Sergei O. Kuznetsov:
Lazy Associative Graph Classification. FCA4AI@IJCAI 2015: 63-74 - [i2]Yury Kashnitsky:
Visual analytics in FCA-based clustering. CoRR abs/1504.05469 (2015) - [i1]Yury Kashnitsky, Dmitry I. Ignatov:
Can FCA-based Recommender System Suggest a Proper Classifier? CoRR abs/1504.05473 (2015) - 2014
- [c2]Yury Kashnitsky:
Visual Analytics in FCA-based Clustering. AIST (Supplement) 2014: 69-80 - [c1]Yury Kashnitsky, Dmitry I. Ignatov:
Can FCA-based Recommender System Suggest a Proper Classifier? FCA4AI@ECAI 2014: 17-26
Coauthor Index
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