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ORCIDSvetlana Chuprina
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- affiliation: Perm State University, Perm, Russia
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Journal Articles
- 2022
[j4]S. I. Chuprina
, K. V. Ryabinin, Dmitrij V. Koznov, Konstantin A. Matkin:
Ontology-Driven Visual Analytics Software Development. Program. Comput. Softw. 48(3): 208-214 (2022)- 2018
- [j3]K. V. Ryabinin, S. I. Chuprina:
Using Scientific Visualization Systems to Automate Monitoring of Data Generated by Lightweight Programmable Electronic Devices. Program. Comput. Softw. 44(4): 278-285 (2018) - 2016
- [j2]K. V. Ryabinin, S. I. Chuprina:
A unified approach to adapt scientific visualization systems to third-party solvers. Program. Comput. Softw. 42(6): 347-355 (2016) - 2015
- [j1]Konstantin Ryabinin, Svetlana Chuprina:
Development of ontology-based multiplatform adaptive scientific visualization system. J. Comput. Sci. 10: 370-381 (2015)
Conference and Workshop Papers
- 2023
- [c16]Konstantin Ryabinin, Svetlana Chuprina:
Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing. ICCS (5) 2023: 656-671 - 2022
- [c15]Konstantin Ryabinin, Svetlana Chuprina:
Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality. ICCS (4) 2022: 623-636 - 2020
- [c14]Konstantin Ryabinin, Svetlana Chuprina:
Ontology-Driven Edge Computing. ICCS (7) 2020: 312-325 - 2019
- [c13]Svetlana Chuprina, Igor Postanogov:
New Intelligent Tools to Adapt NL Interface to Corporate Environments. ICCS (5) 2019: 27-40 - [c12]Konstantin Ryabinin, Svetlana Chuprina, Konstantin Belousov:
Ontology-Driven Automation of IoT-Based Human-Machine Interfaces Development. ICCS (5) 2019: 110-124 - 2018
- [c11]Konstantin Ryabinin, Svetlana Chuprina, Mariia Kolesnik:
Calibration and Monitoring of IoT Devices by Means of Embedded Scientific Visualization Tools. ICCS (2) 2018: 655-668 - 2017
- [c10]Konstantin Ryabinin, Svetlana Chuprina:
High-Level Toolset For Comprehensive Visual Data Analysis and Model Validation. ICCS 2017: 2090-2099 - [c9]Svetlana Chuprina, Igor Postanogov, Taisiya Kostareva:
A Way How to Impart Data Science Skills to Computer Science Students Exemplified by OBDA-Systems Development. ICCS 2017: 2161-2170 - 2016
- [c8]Taisiya Kostareva, Svetlana Chuprina, Alexandr Nam:
Using Ontology-Driven Methods to Develop Frameworks for Tackling NLP Problems. AIST (Supplement) 2016: 102-113 - [c7]Svetlana Chuprina, Vassil Alexandrov, Nia Alexandrov:
Using Ontology Engineering Methods to Improve Computer Science and Data Science Skills. ICCS 2016: 1780-1790 - [c6]Svetlana Chuprina, Igor Postanogov, Olfa Nasraoui:
Ontology Based Data Access Methods to Teach Students to Transform Traditional Information Systems and Simplify Decision Making Process. ICCS 2016: 1801-1811 - 2015
- [c5]Svetlana Chuprina:
Steps towards Bridging the HPC and Computational Science Talent Gap Based on Ontology Engineering Methods. ICCS 2015: 1705-1713 - [c4]Konstantin Ryabinin, Svetlana Chuprina:
Using Scientific Visualization Tools to Bridge the Talent Gap. ICCS 2015: 1734-1741 - 2014
- [c3]Konstantin Ryabinin, Svetlana Chuprina:
Development of Multiplatform Adaptive Rendering Tools to Visualize Scientific Experiments. ICCS 2014: 1825-1834 - 2013
- [c2]Konstantin Ryabinin, Svetlana Chuprina:
Adaptive Scientific Visualization System for Desktop Computers and Mobile Devices. ICCS 2013: 722-731 - 2004
- [c1]S. I. Chuprina, V. V. Lanin, D. A. Borisova, S. I. Khaeva:
Internet Intelligent Search System Smartfinder. EWIMT 2004
Coauthor Index
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