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Sergey V. Kovalchuk
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- affiliation: ITMO University, Saint Petersburg, Russia
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2020 – today
- 2024
- [j28]Sergey V. Kovalchuk, Clélia de Mulatier, Valeria V. Krzhizhanovskaya
, Jirí Mikyska, Maciej Paszynski, Jack J. Dongarra, Peter M. A. Sloot:
Computation at the Cutting Edge of Science. J. Comput. Sci. 81: 102379 (2024) - [j27]Dmitrii Pogrebnoi
RuMedSpellchecker: A new approach for advanced spelling error correction in Russian electronic health records. J. Comput. Sci. 82: 102393 (2024) - [c69]Alexey Gorbatovski, Sergey V. Kovalchuk:
Reinforcement Learning for Question Answering in Programming Domain using Public Community Scoring as a Human Feedback. AAMAS 2024: 2294-2296 - [c68]Lijing Luo, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
Trends in Computational Science: Natural Language Processing and Network Analysis of 23 Years of ICCS Publications. ICCS (2) 2024: 19-33 - [c67]Ashish T. S. Ireddy
Modelling Information Perceiving Within Clinical Decision Support Using Inverse Reinforcement Learning. ICCS (4) 2024: 210-223 - [c66]Chao Li
Modelling of Practice Sharing in Complex Distributed Healthcare System. ICCS (4) 2024: 224-238 - [i19]Alexey Gorbatovski, Sergey V. Kovalchuk:
Reinforcement learning for question answering in programming domain using public community scoring as a human feedback. CoRR abs/2401.10882 (2024) - 2023
- [j26]Liubov O. Elkhovskaya, Alexander D. Kshenin, Marina A. Balakhontceva, Mikhail V. Ionov
Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes. Algorithms 16(1): 57 (2023) - [j25]Ashish T. S. Ireddy
An Experimental Outlook on Quality Metrics for Process Modelling: A Systematic Review and Meta Analysis. Algorithms 16(6): 295 (2023) - [j24]Sergey V. Kovalchuk, Clélia de Mulatier, Derek Groen, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
The computational planet. J. Comput. Sci. 72: 102102 (2023) - [j23]Tesfamariam M. Abuhay
Machine learning integrated patient flow simulation: why and how? J. Simulation 17(5): 580-593 (2023) - [c65]Vadim Lomshakov
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets. ICCS (2) 2023: 171-179 - [c64]Dmitrii Pogrebnoi
RuMedSpellchecker: Correcting Spelling Errors for Natural Russian Language in Electronic Health Records Using Machine Learning Techniques. ICCS (3) 2023: 213-227 - [c63]Alexey Gorbatovski
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering. ICCS (2) 2023: 282-289 - [c62]Lyudmila Rvanova
Automatic Structuring of Topics for Natural Language Generation in Community Question Answering in Programming Domain. ICCS (2) 2023: 322-329 - [i18]Alexey Gorbatovski, Sergey V. Kovalchuk:
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering. CoRR abs/2302.13253 (2023) - 2022
- [j22]Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilia V. Derevitskii
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. J. Biomed. Informatics 127: 104013 (2022) - [j21]Anastasia A. Funkner, Aleksey N. Yakovlev, Sergey V. Kovalchuk:
Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: Application to evolutionary modeling of clinical pathways. J. Comput. Sci. 59: 101562 (2022) - [j20]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
Computational science for a better future. J. Comput. Sci. 62: 101745 (2022) - [j19]Vladislav V. Pavlovskii, Ilia V. Derevitskii
Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy. J. Comput. Sci. 63: 101772 (2022) - [c61]Georgy D. Kopanitsa, Sergey V. Kovalchuk:
Study of the User Behaviour Caused by Automatic Recommendation Systems Call to Action. HEALTHINF 2022: 499-503 - [c60]Liubov Elkhovskaya, Sergey V. Kovalchuk, Ilya Potapov, Dmitrii Ovchinnikov:
COVID-19 Treatment Process Identification: A Case Study in Russian Hospital for Cardiology. HEALTHINF 2022: 755-765 - [c59]Ksenia Balabaeva, Sergey V. Kovalchuk:
Neural Additive Models for Explainable Heart Attack Prediction. ICCS (3) 2022: 113-121 - [c58]Georgy D. Kopanitsa, Sergey V. Kovalchuk:
Study of the User Behaviour Caused by Automatic Recommendation Systems Call to Action. pHealth 2022: 89-96 - [c57]Igor Babikov, Sergey V. Kovalchuk, Ivan Soldatov, Gennady Grebnev:
Structuring Research Directions in Medical Domain with Topic Modeling: Application for PhD Theses Synopses in Dentistry. pHealth 2022: 229-234 - [i17]Xinyu Fu, Valeria V. Krzhizhanovskaya, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Modelling Hospital Strategies in City-Scale Ambulance Dispatching. CoRR abs/2201.01846 (2022) - [i16]Liubov O. Elkhovskaya, Alexander D. Kshenin, Marina A. Balakhontceva, Sergey V. Kovalchuk:
Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes. CoRR abs/2206.06111 (2022) - [i15]Oleg V. Kubryak, Sergey V. Kovalchuk, Nadezhda G. Bagdasaryan:
Assessment of cognitive characteristics in intelligent systems and predictive ability. CoRR abs/2209.11761 (2022) - 2021
- [j18]Anastasia A. Funkner
Citywide quality of health information system through text mining of electronic health records. Appl. Netw. Sci. 6(1): 53 (2021) - [j17]Ilya V. Derevitskii
Hybrid predictive modelling: Thyrotoxic atrial fibrillation case. J. Comput. Sci. 51: 101365 (2021) - [j16]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
20 years of computational science: Selected papers from 2020 International Conference on Computational Science. J. Comput. Sci. 53: 101395 (2021) - [c56]Georgy D. Kopanitsa, Ilia V. Derevitskii
Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems. EFMI-STC 2021: 18-22 - [c55]Anastasia A. Funkner, Dmitrii A. Zhurman, Sergey V. Kovalchuk:
Extraction of Temporal Structures for Clinical Events in Unlabeled Free-Text Electronic Health Records in Russian. EFMI-STC 2021: 55-56 - [c54]Vladislav V. Pavlovskii
Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy. ICCS (3) 2021: 479-493 - [c53]Liubov Elkhovskaya
Feature Engineering with Process Mining Technique for Patient State Predictions. ICCS (3) 2021: 584-592 - [c52]Ksenia Balabaeva, Sergey V. Kovalchuk:
Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data. ICCS (3) 2021: 623-633 - [c51]Ksenia Balabaeva, Sergey V. Kovalchuk:
Clustering Results Interpretation of Continuous Variables Using Bayesian Inference. MIE 2021: 477-481 - [c50]Varvara Koshman, Anastasia A. Funkner, Sergey V. Kovalchuk:
An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records. pHealth 2021: 94-99 - [c49]Alexander Kanonirov, Ksenia Balabaeva, Sergey V. Kovalchuk:
Statistical Inference for Clustering Results Interpretation in Clinical Practice. pHealth 2021: 100-105 - [c48]Alexander D. Kshenin, Sergey V. Kovalchuk:
Data-Driven Modeling of Complex Business Process in Heterogeneous Environment of Healthcare Organization with Health Information Systems. pHealth 2021: 118-123 - [c47]Georgy D. Kopanitsa, Oleg G. Metsker, Ekaterina V. Bolgova, Sergey V. Kovalchuk:
Lifestyle Cancer Survival Predictors: Influence of Vegetarian Diet on the Relapse of Endometrial Cancer. pHealth 2021: 193-198 - [c46]Svetozar Milykh, Sergey V. Kovalchuk:
Treatment Trajectories Graph Compression Algorithm Based on Cliques. pHealth 2021: 300-305 - [i14]Tesfamariam M. Abuhay
Why Machine Learning Integrated Patient Flow Simulation? CoRR abs/2104.08203 (2021) - 2020
- [j15]Valentina Y. Guleva
Emerging Complexity in Distributed Intelligent Systems. Entropy 22(12): 1437 (2020) - [j14]Katerina V. Bolgova, Sergey V. Kovalchuk
Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement. Int. J. E Health Medical Commun. 11(1): 93-106 (2020) - [j13]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
20 years of computational science. J. Comput. Sci. 46: 101187 (2020) - [j12]Oleg G. Metsker, Kirill Magoev, Alexey N. Yakovlev, Stanislav Yanishevskiy, Georgy D. Kopanitsa
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study. BMC Medical Informatics Decis. Mak. 20(1): 201 (2020) - [c45]Tesfamariam M. Abuhay
Constructing Holistic Patient Flow Simulation Using System Approach. ICCS (4) 2020: 418-429 - [c44]Tesfamariam M. Abuhay
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis. ICCS (4) 2020: 430-440 - [c43]Ilya V. Derevitskii
The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. ICCS (4) 2020: 495-508 - [c42]Anastasia A. Funkner
Time Expressions Identification Without Human-Labeled Corpus for Clinical Text Mining in Russian. ICCS (4) 2020: 591-602 - [c41]Ksenia Balabaeva
Experiencer Detection and Automated Extraction of a Family Disease Tree from Medical Texts in Russian Language. ICCS (4) 2020: 603-612 - [c40]Sergey V. Kovalchuk, Anastasia A. Funkner, Ksenia Y. Balabaeva
Towards Modeling of Information Processing Within Business-Processes of Service-Providing Organizations. ICCS (1) 2020: 667-675 - [c39]Ksenia Balabaeva
Automated Spelling Correction for Clinical Text Mining in Russian. MIE 2020: 43-47 - [c38]Anastasia A. Funkner, Ksenia Balabaeva
Negation Detection for Clinical Text Mining in Russian. MIE 2020: 342-346 - [c37]Ilia V. Derevitskii, Sergey V. Kovalchuk:
Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients. pHealth 2020: 123-128 - [i13]Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk:
The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. CoRR abs/2002.12632 (2020) - [i12]Anastasia A. Funkner, Aleksey N. Yakovlev, Sergey V. Kovalchuk:
Surrogate-assisted performance tuning of knowledge discovery algorithms: application to clinical pathway evolutionary modeling. CoRR abs/2004.01123 (2020) - [i11]Anastasia A. Funkner, Ksenia Balabaeva, Sergey V. Kovalchuk:
Negation Detection for Clinical Text Mining in Russian. CoRR abs/2004.04980 (2020) - [i10]Ksenia Balabaeva, Anastasia A. Funkner, Sergey V. Kovalchuk:
Automated Spelling Correction for Clinical Text Mining in Russian. CoRR abs/2004.04987 (2020) - [i9]Tesfamariam M. Abuhay, Yemisrach G. Getinet, Oleg G. Metsker, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis. CoRR abs/2004.09290 (2020) - [i8]Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilya V. Derevitskii, Daria A. Savitskaya:
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. CoRR abs/2007.12870 (2020)
2010 – 2019
- 2019
- [j11]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
Science at the intersection of data, modelling, and computation. J. Comput. Sci. 34: 117-119 (2019) - [c36]Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO (Companion) 2019: 1583-1591 - [c35]Oleg G. Metsker
Modelling and Analysis of Complex Patient-Treatment Process Using GraphMiner Toolbox. ICCS (5) 2019: 674-680 - [c34]Oleg G. Metsker, Alexey N. Yakovlev, Aleksandr Ilin, Sergey V. Kovalchuk:
Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning. pHealth 2019: 137-142 - [c33]Ilya V. Derevitskii, Anastasia A. Funkner, Oleg G. Metsker, Sergey V. Kovalchuk:
Graph-Based Predictive Modelling of Chronic Disease Development: Type 2 DM Case Study. pHealth 2019: 150-155 - [c32]Ksenia Balabaeva
Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling. pHealth 2019: 179-184 - [c31]Liubov Elkhovskaya, Maxim Kabyshev
Personalized Assistance for Patients with Chronic Diseases Through Multi-Level Distributed Healthcare Process Assessment. pHealth 2019: 309-312 - 2018
- [j10]Sergey V. Kovalchuk
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. Complex. 2018: 5870987:1-5870987:15 (2018) - [j9]Sergey V. Kovalchuk
Distributed data-driven platform for urgent decision making in cardiological ambulance control. Future Gener. Comput. Syst. 79: 144-154 (2018) - [j8]Sergey V. Kovalchuk
Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification. J. Biomed. Informatics 82: 128-142 (2018) - [j7]Nikolay Butakov, Maxim Petrov, Ksenia D. Mukhina
Unified domain-specific language for collecting and processing data of social media. J. Intell. Inf. Syst. 51(2): 389-414 (2018) - [j6]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
The art of computational science: Bridging gaps - forming alloys. J. Comput. Sci. 26: 190-192 (2018) - [j5]Tesfamariam M. Abuhay
Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory. J. Comput. Sci. 26: 193-204 (2018) - [c30]Oleg G. Metsker
Identification of Pathophysiological Subclinical Variances During Complex Treatment Process of Cardiovascular Patients. CENTERIS/ProjMAN/HCist 2018: 161-168 - [c29]Marina A. Balakhontceva, Anastasia A. Funkner, Anna A. Semakova
Holistic Modeling of Chronic Diseases for Recommendation Elaboration and Decision Making. CENTERIS/ProjMAN/HCist 2018: 228-237 - [c28]Oleg G. Metsker
Text and Data Mining Techniques in Judgment Open Data Analysis for Administrative Practice Control. EGOSE 2018: 169-180 - [c27]Sergey V. Kovalchuk, Oleg G. Metsker
Towards management of complex modeling through a hybrid evolutionary identification. GECCO (Companion) 2018: 255-256 - [c26]Sergey V. Kovalchuk, Mariia A. Moskalenko, Alexey N. Yakovlev
Towards Model-Based Policy Elaboration on City Scale Using Game Theory: Application to Ambulance Dispatching. ICCS (1) 2018: 404-417 - [c25]Sergey A. Sikorskiy, Oleg G. Metsker
Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases. ICCS (3) 2018: 818-824 - [c24]Oleg G. Metsker
Holistic Monitoring and Analysis of Healthcare Processes Through Public Internet Data Collection. INSCI Workshops 2018: 42-50 - [c23]Danila A. Vaganov, Anastasia A. Funkner, Sergey V. Kovalchuk, Valentina Y. Guleva, Klavdiya Bochenina:
Forecasting Purchase Categories with Transition Graphs Using Financial and Social Data. SocInfo (1) 2018: 439-454 - [i7]Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina:
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. CoRR abs/1809.04656 (2018) - 2017
- [j4]Artem M. Chirkin
Execution time estimation for workflow scheduling. Future Gener. Comput. Syst. 75: 376-387 (2017) - [j3]Victor V. Kashirin, Anastasia A. Lantseva, Sergey V. Ivanov, Sergey V. Kovalchuk, Alexander V. Boukhanovsky:
Evolutionary simulation of complex networks' structures with specific functional properties. J. Appl. Log. 24: 39-49 (2017) - [j2]Sergey V. Kovalchuk, Tesfamariam M. Abuhay
Data through the Computational Lens. J. Comput. Sci. 20: 81-84 (2017) - [c22]Nikita V. Bukhanov, Marina Balakhontceva, Sergey V. Kovalchuk, Nadezhda Zvartau, Aleksandra O. Konradi:
Multiscale modeling of comorbidity relations in hypertensive outpatients. CENTERIS/ProjMAN/HCist 2017: 446-450 - [c21]Ekaterina V. Bolgova, Nadezhda E. Zvartau, Sergey V. Kovalchuk, Marina A. Balakhontceva, Oleg G. Metsker
Improving Electronic Medical Records with Support of Human Computer Interaction in Medical Information Systems. CENTERIS/ProjMAN/HCist 2017: 469-474 - [c20]Tesfamariam M. Abuhay
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. ICCS 2017: 7-17 - [c19]Ivan Derevitskiy, Evgeniy Krotov, Daniil V. Voloshin, Alexey N. Yakovlev
Simulation of emergency care for patients with ACS in Saint Petersburg for ambulance decision making. ICCS 2017: 2210-2219 - [i6]Sergey V. Kovalchuk, Anastasia A. Funkner, Oleg G. Metsker, Aleksey N. Yakovlev:
Simulation of Patients Flow in Multiple Healthcare Units using Process and Data Mining Techniques for Model Identification. CoRR abs/1702.07733 (2017) - [i5]Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees:
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. CoRR abs/1705.02203 (2017) - 2016
- [c18]Alexey V. Krikunov, Ekaterina V. Bolgova, Evgeniy Krotov, Tesfamariam M. Abuhay
Complex Data-driven Predictive Modeling in Personalized Clinical Decision Support for Acute Coronary Syndrome Episodes. ICCS 2016: 518-529 - [c17]Andrey Kiselev, Vladislav A. Karbovskii
Agent-based Modelling Using Ensemble Approach with Spatial and Temporal Composition. ICCS 2016: 530-541 - [c16]Andrey Karsakov, Alexander Moiseev, Ksenia D. Mukhina
Toolbox for Visual Explorative Analysis of Complex Temporal Multiscale Contact Networks Dynamics in Healthcare. ICCS 2016: 2107-2118 - [i4]Pavel A. Smirnov, Sergey V. Kovalchuk, Alexander V. Boukhanovsky:
Computer-assisted workflows composition based on Virtual Simulation Objects technology. CoRR abs/1606.08297 (2016) - 2015
- [c15]Artem V. Zakharchuk, Sergey V. Kovalchuk, Denis A. Nasonov:
Dynamic Domain-Specific Language for BigData Tasks' Description. GI-Jahrestagung 2015: 1207-1218 - [c14]Sergey V. Kovalchuk
Towards Ensemble Simulation of Complex Systems. ICCS 2015: 532-541 - [c13]Sergey S. Kosukhin, Sergey V. Kovalchuk
Cloud Technology for Forecasting Accuracy Evaluation of Extreme Metocean Events. ICCS 2015: 2933-2937 - 2014
- [c12]Pavel A. Smirnov, Sergey V. Kovalchuk
Provenance-based workflow composition with virtual simulation objects technology. FSKD 2014: 930-934 - [c11]Konstantin V. Knyazkov, Sergey V. Kovalchuk
Modeling and Simulation Framework for Development of Interactive Virtual Environments. ICCS 2014: 332-342 - [c10]Sergey V. Kovalchuk
A Technology for BigData Analysis Task Description Using Domain-specific Languages. ICCS 2014: 488-498 - [c9]Pavel A. Smirnov, Sergey V. Kovalchuk
Domain Ontologies Integration for Virtual Modelling and Simulation Environments. ICCS 2014: 2507-2514 - [c8]Pavel A. Smirnov, Sergey V. Kovalchuk:
Linked-Data Integration for Workflow-Based Computational Experiments. KESW 2014: 175-183 - [c7]Artem M. Chirkin
Execution time estimation for workflow scheduling. WORKS@SC 2014: 1-10 - [c6]Victor V. Kashirin, Sergey V. Kovalchuk
Evolutionary Simulation of Complex Networks' Structures with Specific Functional Properties. SOCO-CISIS-ICEUTE 2014: 63-72 - [i3]Sergey V. Kovalchuk, Artem V. Zakharchuk, Jiaqi Liao, Sergey V. Ivanov, Alexander Boukhanovsky:
A Technology for BigData Analysis Task Description using Domain-Specific Languages. CoRR abs/1404.4821 (2014) - 2013
- [c5]Sergey V. Kovalchuk
Deadline-Driven Resource Management within Urgent Computing Cyberinfrastructure. ICCS 2013: 2203-2212 - [c4]Sergey V. Ivanov, Sergey V. Kovalchuk
Workflow-Based Collaborative Decision Support for Flood Management Systems. ICCS 2013: 2213-2222 - [c3]Pavel A. Smirnov, Sergey V. Kovalchuk
Knowledge-Based Support for Complex Systems Exploration in Distributed Problem Solving Environments. KESW 2013: 147-161 - [i2]Sergey V. Kovalchuk, Pavel A. Smirnov, Konstantin V. Knyazkov, Alexander S. Zagarskikh, Alexander Boukhanovsky:
Knowledge-based Expressive Technologies within Cloud Computing Environments. CoRR abs/1312.7688 (2013) - 2012
- [j1]Konstantin V. Knyazkov, Sergey V. Kovalchuk
CLAVIRE: e-Science infrastructure for data-driven computing. J. Comput. Sci. 3(6): 504-510 (2012) - [c2]Sergey V. Kovalchuk
Virtual Simulation Objects concept as a framework for system-level simulation. eScience 2012: 1-8 - [c1]Sergey V. Kovalchuk
High-Level Knowledge-Based Structures for Simulation within Urgent Computing Tasks. ICCS 2012: 1694-1703 - [i1]Sergey V. Kovalchuk, Pavel A. Smirnov, Sergey S. Kosukhin, Alexander V. Boukhanovsky:
Virtual Simulation Objects Concept as a Framework for System-Level Simulation. CoRR abs/1211.7080 (2012)
Coauthor Index
Ksenia Balabaeva
aka: Ksenia Y. Balabaeva
aka: Ksenia Y. Balabaeva
Alexander Boukhanovsky
aka: Alexander V. Boukhanovsky
aka: Alexander V. Boukhanovsky
Ilya V. Derevitskii
aka: Ilia V. Derevitskii
aka: Ilia V. Derevitskii
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