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2020 – today
- 2024
[j9]Alexander V. Smirnov
, Andrew Ponomarev, Anton Agafonov:
Ontology-Based Neuro-Symbolic AI: Effects on Prediction Quality and Explainability. IEEE Access 12: 156609-156626 (2024)- [c61]Andrew Ponomarev, Anton Agafonov:
Ontology-Based Explanations of Neural Networks: A User Perspective. HCI (51) 2024: 264-276 - [c60]Andrew Ponomarev:
A Simple Heuristic for Controlling Human Workload in Learning to Defer. ICPR (27) 2024: 120-130 - 2023
- [c59]Alexander V. Smirnov, Andrew Ponomarev, Tatiana Levashova:
Towards a Methodology for Developing Human-AI Collaborative Decision Support Systems. CHIRA (1) 2023: 69-88 - [c58]Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev:
Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models. DeLTA 2023: 269-279 - [c57]Anton Agafonov, Andrew Ponomarev:
RevelioNN: Retrospective Extraction of Visual and Logical Insights for Ontology-Based Interpretation of Neural Networks. FRUCT 2023: 3-9 - [c56]Andrew Ponomarev, Anton Agafonov:
Ontology-Based Post-Hoc Neural Network Explanations Via Simultaneous Concept Extraction. IntelliSys (2) 2023: 433-446 - 2022
- [j8]Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Shilov, Andrey Chechulin:
Threats Detection during Human-Computer Interaction in Driver Monitoring Systems. Sensors 22(6): 2380 (2022) - [c55]Kirill Uvarov, Andrew Ponomarev:
Maintaining Vehicle Driver's State Using Personalized Interventions. FRUCT 2022: 1-8 - [c54]Andrew Ponomarev, Anton Agafonov:
Ontology Concept Extraction Algorithm for Deep Neural Networks. FRUCT 2022: 221-226 - [c53]Andrew Ponomarev, Anton Agafonov:
Ontology-Based Post-Hoc Explanations via Simultaneous Concept Extraction. ICMLA 2022: 887-890 - [c52]Andrew Ponomarev:
Using Contextual Bandits for Maintaining Driver's Alertness via Personalized Interventions. ICMLA 2022: 1224-1229 - [c51]Anton Agafonov, Andrew Ponomarev:
An Experiment on Localization of Ontology Concepts in Deep Convolutional Neural Networks. SoICT 2022: 82-87 - 2021
- [j7]Alexander V. Smirnov, Tatiana Levashova, Andrew Ponomarev, Nikolay Shilov:
Methodology for Multi-Aspect Ontology Development: Ontology for Decision Support Based on Human-Machine Collective Intelligence. IEEE Access 9: 135167-135185 (2021) - [c50]Alexander V. Smirnov, Andrew Ponomarev:
Stimulating Self-Organization in Human-Machine Collective Intelligence Environment. CogSIMA 2021: 94-102 - [c49]Andrew Ponomarev:
Aggregation of Crowdsourced Ontology-Based Item Descriptions by Hierarchical Voting. CSW@VLDB 2021: 60-71 - [c48]Alexander V. Smirnov, Tatiana Levashova, Andrew Ponomarev, Nikolay Shilov:
Methodology for Multi-aspect Ontology Development - Use Case of DSS Based on Human-Machine Collective Intelligence. ICDSST 2021: 97-109 - [c47]Andrew Ponomarev:
Methods for Aggregating Crowdsourced Ontology-based Item Annotations. FRUCT 2021: 177-183 - [c46]Alexander V. Smirnov, Andrew Ponomarev:
Recommendation of Collaboration Patterns for Human-Machine Collective Intelligence. FRUCT 2021: 330-336 - [c45]Kirill Uvarov, Andrew Ponomarev:
Driver Identification with OBD-II Public Data. FRUCT 2021: 495-501 - [c44]Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev, Thilo Streichert, Silvia Gramling, Thomas Streich:
Analytical Detection of a Mesh Vertex Being on the Inside of a Round Through-Hole. PLM (2) 2021: 215-224 - [c43]Alexander V. Smirnov, Andrew Ponomarev:
Interoperability and Self-Organization in Human-Machine Collective Intelligence. SMC 2021: 86-91 - 2020
- [j6]Andrew Ponomarev:
Improving Search Quality in Crowdsourced Bib Number Tagging Systems Using Data Fusion. Inf. 11(8): 385 (2020) - [j5]Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Shilov, Andrey Chechulin:
In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors. Sensors 20(18): 5049 (2020) - [c42]Alexey M. Kashevnik, Andrew Ponomarev, Andrei Krasov:
Human-Computer Threats Classification in Intelligent Transportation Systems. FRUCT 2020: 151-157 - [c41]Alexander V. Smirnov, Andrew Ponomarev:
Human-Machine Collective Intelligence Environment for Decision Support: Conceptual and Technological Design. FRUCT 2020: 253-259 - [c40]Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev:
Context-aware Knowledge Management for Socio-Cyber-Physical Systems: New Trends towards Human-machine Collective Intelligence. KDIR 2020: 5-17 - [c39]Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev, Thilo Streichert, Silvia Gramling, Thomas Streich:
Validating Results of 3D Finite Element Simulation for Mechanical Stress Evaluation using Machine Learning Techniques. IN4PL 2020: 13-23
2010 – 2019
- 2019
- [c38]Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev:
Human-Computer Systems for Decision Support: From Cloud to Self-organizing Environments. CLOSER (Selected Papers) 2019: 1-22 - [c37]Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev, Maksim Schekotov:
Human-Computer Cloud: Application Platform and Dynamic Decision Support. CLOSER 2019: 120-131 - [c36]Anna Burunova, Andrew Ponomarev, Nikolay Teslya:
Enactable Electronic Contracts in E-Commerce: Models, Technologies and Architectures. FRUCT 2019: 54-59 - [c35]Alexander V. Smirnov, Andrew Ponomarev:
Human-Machine Collective Intelligence Environment for Adaptive Decision Support. FRUCT 2019: 285-291 - [c34]Andrew Ponomarev, Anastasiia Chernysheva:
Adaptation and Personalization in Driver Assistance Systems. FRUCT 2019: 335-344 - [c33]Alexander V. Smirnov, Tatiana Levashova, Nikolay Shilov, Andrew Ponomarev:
Multi-aspect Ontology for Interoperability in Human-machine Collective Intelligence Systems for Decision Support. KEOD 2019: 458-465 - [c32]Alexander V. Smirnov, Tatiana Levashova, Nikolay Shilov, Andrew Ponomarev:
Human-Machine Collective Intelligence for Decision Support: Semantic Interoperability Based on Multi-Aspect Ontologies. JOWO 2019 - [c31]Alexander V. Smirnov, Andrew Ponomarev:
Decision Support Based on Human-Machine Collective Intelligence: Major Challenges. NEW2AN 2019: 113-124 - 2018
- [j4]Alexander V. Smirnov, Andrew Ponomarev, Nikolay Shilov, Alexey M. Kashevnik, Nikolay Teslya:
Ontology-Based Human-Computer Cloud for Decision Support: Architecture and Applications in Tourism. Int. J. Embed. Real Time Commun. Syst. 9(1): 1-19 (2018) - [c30]Alexander V. Smirnov, Andrew Ponomarev:
Leveraging Human-Computer Cloud Architecture for Business Trip Resilience. BIR Workshops 2018: 45-56 - [c29]Alexander V. Smirnov, Maksim Shchekotov, Nikolay Shilov, Andrew Ponomarev:
Decision Support Service Based on Dynamic Resource Network Configuration in Human-Computer Cloud. FRUCT 2018: 362-368 - [c28]Alexander V. Smirnov, Nikolay Teslya, Andrew Ponomarev, Alexey M. Kashevnik:
Profiling Contributors in the Human-Computer Cloud. SMARTCOMP 2018: 327-332 - 2017
- [j3]Alexander V. Smirnov, Nikolay Shilov, Alexey M. Kashevnik, Andrew Ponomarev:
Cyber-physical infomobility for tourism application. Int. J. Inf. Technol. Manag. 16(1): 31-52 (2017) - [j2]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev:
Context-based infomobility system for cultural heritage recommendation: Tourist Assistant - TAIS. Pers. Ubiquitous Comput. 21(2): 297-311 (2017) - [c27]Alexander V. Smirnov, Andrew Ponomarev, Nikolay Teslya, Nikolay Shilov:
Human-Computer Cloud for Smart Cities: Tourist Itinerary Planning Case Study. BIS (Workshops) 2017: 179-190 - [c26]Alexander V. Smirnov, Andrew Ponomarev, Tatiana Levashova, Nikolay Shilov:
Ontology-based cloud platform for human-driven applications. FRUCT 2017: 304-310 - [c25]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Shilov:
Context-Aware Decision Support in Socio-Cyberphysical Systems: From Smart Space-Based Applications to Human-Computer Cloud Services. PAAMS 2017: 3-15 - [c24]Alexander V. Smirnov, Andrew Ponomarev, Tatiana Levashova, Nikolay Shilov:
Platform-as-a-Service for Human-Based Applications: Ontology-Driven Approach. SC² 2017: 157-162 - [c23]Andrew Ponomarev:
Community Photo Tagging: Engagement and Quality Study. WebSci 2017: 409-410 - 2016
- [c22]Kurt Sandkuhl, Alexander V. Smirnov, Andrew Ponomarev:
Crowdsourcing in Business Process Outsourcing: An Exploratory Study on Factors Influencing Decision Making. BIR 2016: 33-49 - [c21]Alexander V. Smirnov, Andrew Ponomarev, Tatiana Levashova, Nikolay Teslya:
Human-computer cloud for decision support in tourism: Approach and architecture. FRUCT 2016: 226-235 - [c20]Nikolay Teslya, Andrew Ponomarev:
Smart tourism destination support scenario based on human-computer cloud. FRUCT 2016: 242-247 - [c19]Andrew Ponomarev:
Recommending tourist locations based on data from photo sharing service: Method and algorithm. FRUCT 2016: 272-278 - [c18]Alexander V. Smirnov, Andrew Ponomarev, Alexey M. Kashevnik:
Tourist Attraction Recommendation Service: An Approach, Architecture and Case Study. ICEIS (2) 2016: 251-261 - [c17]Alexander V. Smirnov, Andrew Ponomarev, Alexey M. Kashevnik:
Multi-model Service for Recommending Tourist Attractions. ICEIS (Revised Selected Papers) 2016: 364-386 - [c16]Alexander V. Smirnov, Andrew Ponomarev, Tatiana Levashova, Nikolay Teslya:
Decision support in tourism based on human-computer cloud. iiWAS 2016: 125-132 - 2015
- [j1]Dirk Stamer, Andrew Ponomarev, Nikolay Shilov, Alexander V. Smirnov:
Technical Perspective on Using Information Demand Pattern in a Collaborative Recommendation System for Improving E-Mail Communication. Complex Syst. Informatics Model. Q. 2: 31-45 (2015) - [c15]Alexander V. Smirnov, Andrew Ponomarev:
Exploring Requirements for Multipurpose Crowd Computing Framework. ESOCC Workshops 2015: 299-307 - [c14]Andrew Ponomarev, Vladimir Parfenov:
Verification-enabling interaction model for services in smart space: a TAIS case. FRUCT 2015: 163-172 - [c13]Alexander V. Smirnov, Andrew Ponomarev:
Locality-Sensitive Hashing for Distributed Privacy-Preserving Collaborative Filtering: An Approach and System Architecture. ICEIS (Revised Selected Papers) 2015: 455-475 - [c12]Alexander V. Smirnov, Andrew Ponomarev:
Privacy-preserving Hybrid Peer-to-Peer Recommendation System Architecture - Locality-Sensitive Hashing in Structured Overlay Network. ICEIS (2) 2015: 532-542 - [c11]Alexander V. Smirnov, Andrew Ponomarev:
Crowd Computing Framework for Geoinformation Tasks. IF&GIS 2015: 109-123 - [c10]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev, Maksim Shchekotov, Kirill A. Kulakov:
Application for e-Tourism: Intelligent Mobile Tourist Guide. IIAI-AAI 2015: 40-45 - 2014
- [c9]Dirk Stamer, Andrew Ponomarev, Kurt Sandkuhl, Nikolay Shilov, Alexander V. Smirnov:
Collaborative Recommendation System for Improved Information Logistics: Adaption of Information Demand Pattern in E-Mail Communication. ILOG@BIR 2014: 35-48 - [c8]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Shilov, Nikolay Teslya:
Proactive Recommendation System for m-Tourism Application. BIR 2014: 113-127 - [c7]Alexander V. Smirnov, Andrew Ponomarev:
A hybrid peer-to-peer recommendation system architecture based on locality-sensitive hashing. FRUCT 2014: 119-125 - [c6]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Shilov, Maksim Shchekotov, Nikolay Teslya:
Smart space-based intelligent mobile tourist guide: Service-based implementation. FRUCT 2014: 126-134 - [c5]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Shilov:
Location-based on-board system for e-tourism: Implementation for Ford SYNC. ICCVE 2014: 132-137 - [c4]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Teslya, Maksim Shchekotov, Sergey I. Balandin:
Smart Space-Based Tourist Recommendation System - Application for Mobile Devices. NEW2AN 2014: 40-51 - [c3]Alexander V. Smirnov, Alexey M. Kashevnik, Nikolay Shilov, Andrew Ponomarev:
Smart Space-Based in-Vehicle Application for e-Tourism - Technological Framework and Implementation for Ford SYNC. NEW2AN 2014: 52-61 - 2013
- [c2]Alexander V. Smirnov, Alexey M. Kashevnik, Andrew Ponomarev, Nikolay Shilov, Maksim Shchekotov, Nikolay Teslya:
Recommendation system for tourist attraction information service. FRUCT 2013: 148-155 - [c1]Leonid Sheremetov, Arturo González-Sánchez, Itzamá López-Yáñez, Andrew Ponomarev:
Time Series Forecasting: Applications to the Upstream Oil and Gas Supply Chain. MIM 2013: 957-962
Coauthor Index
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