2021 (20)
  • D V Litovkin, A V Anikin, O A Sychev, T Petrova (feb 2021) ORM Diagram as an Intermediate Model for OWL Ontology Engineering: Protégé ORM Plugin Implementation. Journal of Physics: Conference Series 1801 (1) pp. 012009. IOP Publishing. doi web bibtex
    • Abstract
  • O. Sychev (2021) Combining neural networks and symbolic inference in a hybrid cognitive architecture. Procedia Computer Science 190 pp. 728-734. Elsevier B.V.. doi web bibtex
    • Abstract
  • Oleg Sychev, Mikhail Denisov, Anton Anikin (2021) Ways To Write Algorithms And Their Execution Traces For Teaching Programming. In EpSBS - Volume 102 - NININS 2020. pp. 1029-1039. European Publisher. doi web bibtex
  • Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin (2021) CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level. In Intelligent Tutoring Systems. pp. 52–59. Springer International Publishing. Cham. bibtex
    • Abstract
  • Oleg Sychev, Dmitrii Sasov, Pavel Chechetkin (2021) Developing An Understanding Of Variables And Expressions In Introductory Programming Courses. In EpSBS - Volume 102 - NININS 2020. pp. 1019-1028. European Publisher. doi web bibtex
  • Oleg Sychev, Anton Anikin, Mikhail Denisov (2021) Inference Engines Performance in Reasoning Tasks for Intelligent Tutoring Systems. In Computational Science and Its Applications textendash ICCSA 2021. pp. 471–482. Springer International Publishing. doi web bibtex
  • Oleg Sychev, Nikita Penskoy, Anton Anikin, Mikhail Denisov, Artem Prokudin (2021) Improving comprehension: Intelligent tutoring system explaining the domain rules when students break them. Education Sciences 11 (11) MDPI. doi web bibtex
    • Abstract
  • O. Sychev, A. Anikin, G. Terekhov (2021) Demonstrating Concepts through Visual Simulators: Two Cases in the Programming Domain. Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2010-October IEEE Computer Society. doi web bibtex
    • Abstract
  • A. Anikin, O. Sychev, M. Denisov (2021) Ontology reasoning for explanatory feedback generation to teach how algorithms work. Frontiers in Artificial Intelligence and Applications 338 pp. V-VI. IOS Press BV. doi web bibtex
    • Abstract
  • M. Denisov, A. Anikin, O. Sychev, A. Katyshev (2021) Program execution comprehension modelling for algorithmic languages learning using ontology-based techniques. Advances in Intelligent Systems and Computing 1184 pp. 256-269. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • O. Sychev, Y. Kamennov (2021) Eligibility of English Hypernymy Resources for Extracting Knowledge from Natural-Language Texts. Advances in Intelligent Systems and Computing 1310 pp. 501-507. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • O. Sychev (2021) CorrectWriting: Open-Ended Question with Hints for Teaching Programming-Language Syntax. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE pp. 623-624. Association for Computing Machinery. doi web bibtex
    • Abstract
  • O.A. Sychev, A.A. Prokudin, O.E. Evtushenko, O.V. Toporkova (2021) The impact of formative quizzes using CorrectWriting question type on learning word order in an ESL course. Journal of Physics: Conference Series 1801 (1) IOP Publishing Ltd. doi web bibtex
    • Abstract
  • O. Sychev (2021) Visualizing Program State as a Clustered Graph for Learning Programming. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12909 LNAI pp. 404-407. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • M. Denisov, A. Anikin, O. Sychev (2021) Dynamic Flowcharts for Enhancing Learners’ Understanding of the Control Flow During Programming Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12909 LNAI pp. 408-411. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • V. Uglev, O. Sychev (2021) Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12909 LNAI pp. 443-446. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • E. Novozhenina, O. Sychev, O. Toporkova, O. Evtushenko (2021) Teaching English Word Order with CorrectWriting Software. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12951 LNCS pp. 681-692. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • V. Uglev, O. Sychev (2021) Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12677 LNCS pp. 93-98. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • D. Litovkin, D. Dontsov, A. Anikin, O. Sychev (2021) Suitability of Object-Role Modeling Diagrams as an Intermediate Model for Ontology Engineering: Testing the Rules for Mapping. Advances in Intelligent Systems and Computing 1310 pp. 188-194. Springer Science and Business Media Deutschland GmbH. doi web bibtex
    • Abstract
  • O. Sychev, M. Denisov, G. Terekhov (2021) How it Works: Algorithms-A Tool for Developing an Understanding of Control Structures. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE pp. 621-622. Association for Computing Machinery. doi web bibtex
    • Abstract
2020 (2)
  • Oleg Sychev, Anton Anikin, Artem Prokudin (2020) Automatic grading and hinting in open-ended text questions. Cognitive Systems Research 59 pp. 264 - 272. doi web bibtex
  • Dmitry Litovkin, Anton Anikin, Marina Kultsova (2020) Interactive Visualization of Ontology-Based Conceptual Domain Models in Learning and Scientific Research. In Fourth International Congress on Information and Communication Technology. pp. 365–374. Springer Singapore. Singapore. doi bibtex
    • Abstract
2019 (7)
  • Anton Anikin, Oleg Sychev (jul 2019) Ontology-Based Modelling for Learning on Bloom's Taxonomy Comprehension Level. In Advances in Intelligent Systems and Computing. pp. 22–27. Springer International Publishing. doi web bibtex
  • Oleg Sychev, Anton Anikin, Artem Prokudin (jul 2019) Methods of Determining Errors in Open-Ended Text Questions. In Advances in Intelligent Systems and Computing. pp. 521–526. Springer International Publishing. doi web bibtex
  • Anton Anikin, Dmitry Litovkin, Elena Sarkisova, Tatyana Petrova, Marina Kultsova (mar 2019) Ontology-based approach to decision-making support of conceptual domain models creating and using in learning and scientific research. IOP Conference Series: Materials Science and Engineering 483 pp. 012074. IOP Publishing. doi web bibtex
    • Abstract
  • A Anikin, A Katyshev, M Denisov, V Smirnov, D Litovkin (mar 2019) Using online update of distributional semantics models for decision-making support for concepts extraction in the domain ontology learning task. IOP Conference Series: Materials Science and Engineering 483 pp. 012073. IOP Publishing. doi web bibtex
    • Abstract
  • Marina Kultsova, Anastasiya Potseluico, Alexander Dvoryankin (2019) Ontology Based Personalization of Mobile Interfaces for People with Special Needs. In Creativity in Intelligent Technologies and Data Science. pp. 422–433. Springer International Publishing. Cham. doi bibtex
    • Abstract
  • Dmitry Litovkin, Anton Anikin, Marina Kultsova (2019) Semantic Zooming Approach to Semantic Link Network Visualization. In Creativity in Intelligent Technologies and Data Science. pp. 81–95. Springer International Publishing. Cham. doi bibtex
    • Abstract
  • Anton Anikin, Oleg Sychev, Vladislav Gurtovoy (2019) Multi-level Modeling of Structural Elements of Natural Language Texts and Its Applications. In Biologically Inspired Cognitive Architectures 2018. pp. 1–8. Springer International Publishing. Cham. bibtex
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2018 (5)
  • D. Litovkin, A. Anikin, M. Kultsova, E. Sarkisova (July 2018) Representation of WHAT-Knowledge Structures as Ontology Design Patterns. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-6. doi bibtex
  • M. Kultsova, D. Matyushechkin, A. Anikin (July 2018) Web-Service for Translation of Pictogram Messages into Russian Coherent Text. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-5. doi bibtex
  • M. Kultsova, A. Usov, A. Potseluico, A. Anikin (July 2018) An Ontological Representation of Interface Patterns in Context of Interface Adaptation for Users with Special Needs. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-5. doi bibtex
  • Anton Anikin, Oleg Sychev (2018) Semantic treebanks and their uses for multi-level modelling of natural-language texts. Procedia Computer Science 145 pp. 64 - 71. doi web bibtex
  • Dmitrii Matyushechkin, Marina Kultsova, Anton Anikin (2018) Web-service for Translation Pictogrammes Sages into Coherent Text in Russian. Известия Волгоградского государственного технического университета 215 (5) pp. 30 - 36. web bibtex
    • Abstract
2017 (6)
  • M. Kultsova, D. Matyushechkin, A. Usov, S. Karpova, R. Romanenko (Aug 2017) Generation of pictograph sequences from the Russian text in the assistive mobile application for people with intellectual and developmental disabilities. In 2017 8th International Conference on Information, Intelligence, Systems Applications (IISA). pp. 1-4. doi bibtex
    • Abstract
  • M. Kultsova, D. Matyushechkin, A. Usov, S. Karpova, A. Petrenko (Aug 2017) Assistive technology for complex support of children rehabilitation with autism spectrum disorder. In 2017 8th International Conference on Information, Intelligence, Systems Applications (IISA). pp. 1-5. doi bibtex
    • Abstract
  • S. Regmi, B. K. Bal, M. Kultsova (Aug 2017) Analyzing facts and opinions in Nepali subjective texts. In 2017 8th International Conference on Information, Intelligence, Systems Applications (IISA). pp. 1-4. doi bibtex
    • Abstract
  • M. Kultsova, D. Litovkin, I. Zhukova, A. Dvoryankin (2017) Intelligent support of decision making in management of large-scale systems using case-based, rule-based and qualitative reasoning over ontologies. Communications in Computer and Information Science 754 pp. 331-349. Springer Verlag. doi web bibtex
    • Abstract
  • M. Kultsova, A. Potseluico, I. Zhukova, A. Skorikov, R. Romanenko (2017) A two-phase method of user interface adaptation for people with special needs. Communications in Computer and Information Science 754 pp. 805-821. Springer Verlag. doi web bibtex
    • Abstract
  • A. Anikin, D. Litovkin, M. Kultsova, E. Sarkisova, T. Petrova (2017) Ontology visualization: Approaches and software tools for visual representation of large ontologies in learning. Communications in Computer and Information Science 754 pp. 133-149. Springer Verlag. doi web bibtex
    • Abstract
2016 (6)
  • Marina Kultsova, Anastasiya Potseluico, Anton Anikin, Roman Romanenko (Nov 2016) An Ontology Based Adaptation of User Interface for People with Special Needs. In 2016 IEEE Artificial Intelligence and Natural Language Conference (AINL). pp. 92-94. bibtex
  • M. Kultsova, R. Rudnev, A. Anikin, I. Zhukova (July 2016) An ontology-based approach to intelligent support of decision making in waste management. In 2016 7th International Conference on Information, Intelligence, Systems Applications (IISA). pp. 1-6. doi bibtex
  • M. Kultsova, A. Potseluico, A. Anikin, R. Romanenko (July 2016) An ontological user model for automated generation of adaptive interface for users with special needs. In 2016 7th International Conference on Information, Intelligence, Systems Applications (IISA). pp. 1-6. doi bibtex
  • M. Kultsova, A. Anikin, D. Litovkin (February 2016) An Ontology-Based Approach to Collaborative Development of Domain Information Space. In Proceedings of the 12th International Conference on Educational Technologies (EDUTE`16), Proceedings of the 10th International Conference on Business Administration (ICBA`16), Barcelona, Spain, February 13-15, 2016. pp. 13-19. web bibtex
  • Marina Kultsova, Roman Romanenko, Irina Zhukova, Andrey Usov, Nikita Penskoy, Tatiana Potapova (2016) Assistive Mobile Application for Support of Mobility and Communication of People with IDD. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct. pp. 1073–1076. ACM. New York, NY, USA. doi web bibtex
  • Anton Anikin, Dmitry Litovkin, Marina Kultsova, Elena Sarkisova (2016) Ontology-Based Collaborative Development of Domain Information Space for Learning and Scientific Research. In Knowledge Engineering and Semantic Web: 7th International Conference, KESW 2016, Prague, Czech Republic, September 21-23, 2016, Proceedings. pp. 301–315. Springer International Publishing. Cham. doi web bibtex
2015 (4)
  • M. Kultsova, A. Anikin, I. Zhukova (July 2015) Ontology-based method of electronic learning resources retrieval and integration. In 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-6. doi bibtex
  • Jan Dekelver, Marina Kultsova, Olga Shabalina, Julia Borblik, Alexander Pidoprigora, Roman Romanenko (2015) Design of Mobile Applications for People with Intellectual Disabilities. In Creativity in Intelligent, Technologies and Data Science: First Conference, CIT&DS 2015, Volgograd, Russia, September 15–17, 2015, Proceedings. pp. 823–836. Springer International Publishing. Cham. doi web bibtex
  • Marina Kultsova, Anton Anikin, Irina Zhukova, Alexander Dvoryankin (2015) Ontology-Based Learning Content Management System in Programming Languages Domain. In Creativity in Intelligent, Technologies and Data Science: First Conference, CIT&DS 2015, Volgograd, Russia, September 15–17, 2015, Proceedings. pp. 767–777. Springer International Publishing. Cham. doi web bibtex
  • Irina Zhukova, Marina Kultsova, Dmitry Litovkin, Dmitry Kozlov (2015) Generation of OWL Ontologies from Confinement Models. In Creativity in Intelligent, Technologies and Data Science: First Conference, CIT&DS 2015, Volgograd, Russia, September 15–17, 2015, Proceedings. pp. 191–203. Springer International Publishing. Cham. doi web bibtex
2014 (4)
  • Peter Wriggers, Marina Kultsova, Alexander Kapysh, Anton Kultsov, Irina Zhukova (2014) Intelligent Decision Support System for River Floodplain Management. In Knowledge-Based Software Engineering: 11th Joint Conference, JCKBSE 2014, Volgograd, Russia, September 17-20, 2014. Proceedings. pp. 195–213. Springer International Publishing. Cham. doi web bibtex
  • Anton Anikin, Marina Kultsova, Irina Zhukova, Natalia Sadovnikova, Dmitry Litovkin (2014) Knowledge Based Models and Software Tools for Learning Management in Open Learning Network. In Knowledge-Based Software Engineering: 11th Joint Conference, JCKBSE 2014, Volgograd, Russia, September 17-20, 2014. Proceedings. pp. 156–171. Springer International Publishing. Cham. doi web bibtex
  • Irina Zhukova, Marina Kultsova, Mikhail Navrotsky, Alexander Dvoryankin (2014) Intelligent Support of Decision Making in Human Resource Management Using Case-Based Reasoning and Ontology. In Knowledge-Based Software Engineering: 11th Joint Conference, JCKBSE 2014, Volgograd, Russia, September 17-20, 2014. Proceedings. pp. 172–184. Springer International Publishing. Cham. doi web bibtex
  • Dmitry Litovkin, Irina Zhukova, Marina Kultsova, Natalia Sadovnikova, Alexander Dvoryankin (2014) Adaptive Testing Model and Algorithms for Learning Management System. In Knowledge-Based Software Engineering: 11th Joint Conference, JCKBSE 2014, Volgograd, Russia, September 17-20, 2014. Proceedings. pp. 87–99. Springer International Publishing. Cham. doi web bibtex
2008 (1)
  • Peter Wriggers, Marina Siplivaya, Irina Joukova, Roman Slivin (2008) Intelligent support of the preprocessing stage of engineering analysis using case-based reasoning. Engineering with Computers 24 (4) pp. 383–404. doi web bibtex
    • Abstract
2007 (2)
  • Peter Wriggers, Marina Siplivaya, Irina Joukova, Roman Slivin (aug 2007) Intelligent Support of Engineering Analysis Using Ontology and Case-based Reasoning. Eng. Appl. Artif. Intell. 20 (5) pp. 709–720. Pergamon Press, Inc.. Tarrytown, NY, USA. doi web bibtex
  • P. Wriggers, M. Siplivaya, I. Zhukova, A. Kapysh, A. Kultsov (2007) Integration of a case-based reasoning and an ontological knowledge base in the system of intelligent support of finite element analysis. Computer Assisted Mechanics and Engineering Sciences Vol. 14, No. 4 pp. 753–765. bibtex