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ORCIDYuriy Gapanyuk
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2020 – today
- 2022
[c18]Artem A. Sukhobokov, Yuriy E. Gapanyuk, Anna S. Zenger, Alyona K. Tsvetkova:
The concept of an intelligent data lake management system: machine consciousness and a universal data model. BICA*AI 2022: 407-414- 2021
- [c17]Sergey Chernobrovkin, Igor Latkin, Marina Belyanova, Yuriy Gapanyuk
:
Using a Hybrid Intelligent Information Systems Approach for Advertising Video Generation. FRUCT 2021: 67-74 - [c16]Valery Terekhov, Yury Gapanyuk, Anton Kanev:
Metagraph Representation for Overcoming Limitations of Existing Knowledge Bases. FRUCT 2021: 458-464 - [c15]Valery B. Tarassov, Yuriy Kaganov, Yuriy Gapanyuk:
The Metagraph Model for Complex Networks: Definition, Calculus, and Granulation Issues. RCAI 2021: 135-151 - 2020
- [c14]Marina Belyanova, Sergey Chernobrovkin, Igor Latkin, Yuriy Gapanyuk:
Metagraph Based Approach for Neural Text Question Generation. AIST 2020: 82-95 - [c13]Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Anatoly N. Nardid, Nikita Todosiev:
The Implementation of Metagraph Agents Based on Functional Reactive Programming. FRUCT 2020: 1-8 - [c12]Valery B. Tarassov, Yuriy E. Gapanyuk:
Complex Graphs in the Modeling of Multi-agent Systems: From Goal-Resource Networks to Fuzzy Metagraphs. RCAI 2020: 177-198
2010 – 2019
- 2019
- [c11]Yuriy E. Gapanyuk:
The Semantic Complex Event Processing Based on Metagraph Approach. BICA 2019: 99-104 - [c10]Artem A. Sukhobokov, Yuriy E. Gapanyuk, Valeriy M. Chernenkiy:
Consciousness and Subconsciousness as a Means of AGI's and Narrow AI's Integration. BICA 2019: 515-520 - [c9]Yuriy S. Fedorenko, Valeriy M. Chernenkiy, Yuriy E. Gapanyuk:
The Neural Network for Online Learning Task Without Manual Feature Extraction. ISNN (1) 2019: 67-76 - 2018
- [c8]Yury Gapanyuk, Sergey Chernobrovkin, Aleksey Leontiev, Igor Latkin, Marina Belyanova, Oleg Morozenkov:
A Hybrid Chatbot System Combining Question Answering and Knowledge-Base Approaches. AIST (Supplement) 2018: 42-53 - [c7]Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Valeriy Terekhov, Georgiy Revunkov, Yuriy Kaganov:
The hybrid intelligent information system approach as the basis for cognitive architecture. BICA 2018: 143-152 - [c6]Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Georgiy I. Revunkov, Ark M. Andreev, Yuriy T. Kaganov, Ivan V. Dunin, Maxim A. Lyaskovsky:
The Principles and the Conceptual Architecture of the Metagraph Storage System. DAMDID/RCDL (Selected Papers) 2018: 73-87 - [c5]Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Yuriy Kaganov, Ivan Dunin, Maxim Lyaskovsky, Vadim Larionov:
Storing Metagraph Model in Relational, Document-Oriented, and Graph Databases. DAMDID/RCDL 2018: 82-89 - 2017
- [c4]Yury Gapanyuk, Igor Latkin, Sergey Chernobrovkin, Aleksey Leontiev, Grigory Ozhegov, Alexander Opryshko, Maxim Myalkin:
Architecture and Implementation of an Intelligent News Analysis System. AIST (Supplement) 2017: 41-55 - [c3]Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Anatoly N. Nardid, Anton V. Gushcha, Yuriy S. Fedorenko:
The Hybrid Multidimensional-Ontological Data Model Based on Metagraph Approach. Ershov Informatics Conference 2017: 72-87 - [c2]Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Georgiy I. Revunkov:
Using Metagraph Approach for Complex Domains Description. DAMDID/RCDL 2017: 342-349 - 2011
- [c1]Yuriy Gapanyuk, Egor Lakomkin, Sergey Ionkin, Martin Davtyan:
MVC Web Framework Based on eXist Application Server and XRX Architecture. SYRCoDIS 2011: 19-25
Coauthor Index
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