SCIVI
TOOLS
ADVANCED SCIENTIFIC VISUALIZATION AND VISUAL ANALYTICS

Publications

  1. Ryabinin K., Chuprina S. Adaptive Scientific Visualization System for Desktop Computers and Mobile Devices // Procedia Computer Science. – Elsevier, 2013. – Vol. 18. – PP. 722–731. DOI: https://doi.org/10.1016/j.procs.2013.05.236
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  2. Ryabinin K., Chuprina S. Development of Multiplatform Adaptive Rendering Tools to Visualize Scientific Experiments // Procedia Computer Science. – Elsevier, 2014. – Vol. 29. – PP. 1825–1834. DOI: https://doi.org/10.1016/j.procs.2014.05.167
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  3. Ryabinin K., Chuprina S. Using Scientific Visualization Tools to Bridge the Talent Gap // Procedia Computer Science. – Elsevier, 2015. – Vol. 51. – PP. 1734–1741. DOI: https://doi.org/10.1016/j.procs.2015.05.376
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  4. Ryabinin K., Chuprina S. Development of Ontology-Based Multiplatform Adaptive Scientific Visualization System // Journal of Computational Science. – Elsevier, 2015. – Vol. 10. – PP. 370–381. DOI: https://doi.org/10.1016/j.jocs.2015.03.003
  5. Ryabinin K.V., Chuprina S.I., Bortnikov A.Yu. Automated Tuning of Scientific Visualization Systems to Varying Data Sources // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2016. – Q. 4, V. 8, No. 4. – PP. 1–14. URL: http://sv-journal.org/2016-4/01.php?lang=en
  6. Ryabinin K.V., Chuprina S.I. A Unified Approach to Adapt Scientific Visualization Systems to Third-Party Solvers // Programming and Computer Software. – Pleiades Publishing, Ltd., 2016. – Vol. 42, No. 6. – PP. 347–355. DOI: https://doi.org/10.1134/S0361768816060049
  7. Ryabinin K.V. Visualization of Smooth Curves without Misplaced Extremes Based on Discrete Point Set // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2017. – Q. 1, V. 9, No. 1. – PP. 50–72. URL: http://sv-journal.org/2017-1/04.php?lang=en
  8. Ryabinin K., Chuprina S. High-Level Toolset For Comprehensive Visual Data Analysis and Model Validation // Procedia Computer Science. – Elsevier, 2017. – Vol. 108. – PP. 2090–2099. DOI: https://doi.org/10.1016/j.procs.2017.05.050
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  9. Ryabinin K.V., Baranov D.A., Belousov K.I. Integration of Semograph Information System and SciVi Visualizer for Solving the Tasks of Lingual Content Expert Analysis // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2017. – Q. 4, V. 9, No. 4. – PP. 67–77. DOI: https://doi.org/10.26583/sv.9.4.07
  10. Ryabinin K., Chuprina S., Kolesnik M. Calibration and Monitoring of IoT Devices by Means of Embedded Scientific Visualization Tools // Lecture Notes in Computer Science. – Springer, 2018. – Vol. 10861. – PP. 655–668. DOI: https://doi.org/10.1007/978-3-319-93701-4_52
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  11. Ryabinin K.V., Chuprina S.I. Using Scientific Visualization Systems to Automate Monitoring of Data Generated by Lightweight Programmable Electronic Devices // Programming and Computer Software. – Pleiades Publishing, Ltd., 2018. – Vol. 44, No. 4. – PP. 278–285. DOI: https://doi.org/10.1134/S0361768818040102
  12. Ryabinin K., Matkin K. Building and Visualization of Sleek 3D Surfaces without Misplaced Extremes // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2019. – Q. 1, V. 11, No 1. – PP. 91–106. DOI: https://doi.org/10.26583/sv.11.1.08
  13. Ryabinin K., Chuprina S., Belousov K. Ontology-Driven Automation of IoT-Based Human-Machine Interfaces Development // Lecture Notes in Computer Science. – Springer, 2019. – Vol. 11540. – P. 110–124. DOI: https://doi.org/10.1007/978-3-030-22750-0_9
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  14. Ryabinin K.V., Kolesnik M.A. Adaptive Scientific Visualization Tools for a Smart Paleontological Museum // Programming and Computer Software. – Pleiades Publishing, Ltd., 2019. – Vol. 45, No. 4. – P. 180–186. DOI: https://doi.org/10.1134/S0361768819040066
  15. Ryabinin K.V., Kolesnik M.A., Akhtamzyan A.I., Sudarikova E.V. Cyber-Physical Museum Exhibits Based on Additive Technologies, Tangible Interfaces and Scientific Visualization // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2019. – Q. 3, V. 11, No 4. – PP. 27–42. DOI: https://doi.org/10.26583/sv.11.4.03
  16. Ryabinin K.V., Belousov K.I., Chuprina S.I., Zelyanskaya N.L. Human-Oriented IoT-Based Interfaces for Multimodal Visual Analytics Systems // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2019. – Q. 3, V. 11, No 4. – PP. 53–65. DOI: https://doi.org/10.26583/sv.11.4.05
  17. Ryabinin K., Chuprina S. Ontology-Driven Edge Computing // Lecture Notes in Computer Science. – Springer, 2020. – Vol. 12143. – P. 312–325. DOI: https://doi.org/10.1007/978-3-030-50436-6_23.
  18. Ryabinin K.V., Belousov K.I., Chuprina S.I. Novel Circular Graph Capabilities for Comprehensive Visual Analytics of Interconnected Data in Digital Humanities // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2020. – Vol. 12, No. 4. – PP. 56–70. DOI: https://doi.org/10.26583/sv.12.4.06.
  19. Ryabinin K., Belousov K., Chuprina S. Graph-Based Visual Analytics Tools for Digital Humanities Research // Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2. – 2020. – Vol. 2744. DOI: https://doi.org/10.51130/graphicon-2020-2-3-9.
  20. Ryabinin K., Kolesnik M. Scientific Visualization System on a Chip with Tangible User Interface // Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2. – 2020. – Vol. 2744. DOI: https://doi.org/10.51130/graphicon-2020-2-4-54.
  21. Ryabinin K., Kolesnik M. Automated Creation of Cyber-Physical Museum Exhibits Using a Scientific Visualization System on a Chip // Programming and Computer Software. – Pleiades Publishing, Ltd., 2021. – Vol. 47, No. 3. – P. 161–166. DOI: https://doi.org/10.1134/S0361768821030099.
  22. Ryabinin K.V., Belousov K.I. Visual Analytics of Gaze Tracks in Virtual Reality Environment // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2021. – Vol. 13, No. 2. – PP. 50–66. DOI: https://doi.org/10.26583/sv.13.2.04.
  23. Chumakov R.V., Ryabinin K.V., Belousov K.I., Duan J. Creative Map Studio: A Platform for Visual Analytics of Mental Maps // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2021. – Vol. 13, No. 2. – PP. 79–93. DOI: https://doi.org/10.26583/sv.13.2.06.
  24. Ryabinin K., Chuprina S., Labutin I. Tackling IoT Interoperability Problems with Ontology-Driven Smart Approach // Lecture Notes in Networks and Systems. – Springer, 2021. – Vol. 342. – PP. 77–91. DOI: https://doi.org/10.1007/978-3-030-89477-1_9.
  25. Ryabinin K., Belousov K., Chumakov R. Ontology-Driven Data Mining Platform for Fuzzy Classification of Mental Maps // Frontiers in Artificial Intelligence and Applications. – 2021. – Vol. 340. – PP. 363–370. DOI: https://doi.org/10.3233/FAIA210208.
  26. Ryabinin K., Chuprina S., Labutin I. Ontology-Driven Tools for EEG-Based Neurophysiological Research Automation // Scientific Visualization. – M.: National Research Nuclear University "MEPhI", 2021. – Vol. 13, No. 4. – PP. 93–110. DOI: https://doi.org/10.26583/sv.13.4.08.
  27. Ryabinin K., Belousov K., Chumakov R. Visual Analytics Tools for Polycode Stimuli Eye Gaze Tracking in Virtual Reality // Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). – 2021. – PP. 211–222. DOI: https://doi.org/10.20948/graphicon-2021-3027-211-222.
  28. Ryabinin K., Chuprina S., Labutin I. Ontology-Driven Toolset for Audio-Visual Stimuli Representation in EEG-Based BCI Research // Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). – 2021. – PP. 223–234. DOI: https://doi.org/10.20948/graphicon-2021-3027-223-234.
  29. Chuprina S., Ryabinin K., Koznov D., Matkin K. Ontology-Driven Visual Analytics Software Development // Programming and Computer Software. – Pleiades Publishing, Ltd., 2022. – Vol. 48, No. 3. – PP. 208–214. DOI: https://doi.org/10.1134/S0361768822030033.
  30. Ryabinin K., Chuprina S. Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality // Lecture Notes in Computer Science. – Springer, 2022. – Vol. 13353. – P. 623–636. DOI: https://doi.org/10.1007/978-3-031-08760-8_51.