Yury Kashnitsky

According to our database, Yury Kashnitsky authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals.

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

Quant. Sci. Stud., 2024

Article Classification with Graph Neural Networks and Multigraphs.

Khang Ly, Yury Kashnitsky, Savvas Chamezopoulos, Valeria V. Krzhizhanovskaya

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Improving Article Classification with Edge-Heterogeneous Graph Neural Networks.

Khang Ly, Yury Kashnitsky, Savvas Chamezopoulos, Valeria V. Krzhizhanovskaya

CoRR, 2023

2022

Identifying research supporting the United Nations Sustainable Development Goals.

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

CoRR, 2022

Overview of the DAGPap22 Shared Task on Detecting Automatically Generated Scientific Papers.

Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard, George Tsatsaronis, Catriona Fennell, Cyril Labbé

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021

How near-duplicate detection improves editors' and authors' publishing experience.

Yury Kashnitsky, Vaishnavi Kandala, Egbert van Wezenbeek, IJsbrand Jan Aalbersberg, Catriona Fennell, Georgios Tsatsaronis

CoRR, 2021

2019

Resolving Gendered Ambiguous Pronouns with BERT.

Matei Ionita, Yury Kashnitsky, Ken Krige, Vladimir Larin, Denis Logvinenko, Atanas Atanasov

CoRR, 2019

2017

Query-Based Versus Tree-Based Classification: Application to Banking Data.

Alexey Masyutin, Yury Kashnitsky

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

2016

Interval Pattern Concept Lattice as a Classifier Ensemble.

Yury Kashnitsky, Sergei O. Kuznetsov

Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence, 2016

Global Optimization in Learning with Important Data: an FCA-Based Approach.

Yury Kashnitsky, Sergei O. Kuznetsov

Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, 2016

Lazy Learning of Classification Rules for Complex Structure Data.

Yury Kashnitsky

Proceedings of the Supplementary Proceedings of the Fifth International Conference on Analysis of Images, 2016

2015

Lazy Classication with Interval Pattern Structures: Application to Credit Scoring.

Alexey Masyutin, Yury Kashnitsky, Sergei O. Kuznetsov

Proceedings of the 4th International Workshop "What can FCA do for Artificial Intelligence?", 2015

Lazy Associative Graph Classification.

Yury Kashnitsky, Sergei O. Kuznetsov

Proceedings of the 4th International Workshop "What can FCA do for Artificial Intelligence?", 2015

2014

Can FCA-based Recommender System Suggest a Proper Classifier?

Yury Kashnitsky, Dmitry I. Ignatov

Proceedings of the 3rd International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence (ECAI 2014), 2014

Visual Analytics in FCA-based Clustering.

Yury Kashnitsky

Proceedings of the Supplementary Proceedings of the 3rd International Conference on Analysis of Images, 2014