Virtual Simulation Objects concept as a framework for system-level simulation. - Sergey V. Kovalchuk; Pavel A. Smirnov; Sergey S. Kosukhin; Alexander Boukhanovsky (eScience, 2012)

CLAVIRE: e-Science infrastructure for data-driven computing. - Konstantin V. Knyazkov; Sergey V. Kovalchuk; Timofey N. Tchurov; Sergey V. Maryin; Alexander Boukhanovsky (J. Comput. Sci., 2012)

High-Level Knowledge-Based Structures for Simulation within Urgent Computing Tasks. - Sergey V. Kovalchuk; Alexander Boukhanovsky (ICCS, 2012)

Workflow-Based Collaborative Decision Support for Flood Management Systems. - Sergey V. Ivanov; Sergey V. Kovalchuk; Alexander Boukhanovsky (ICCS, 2013)

Deadline-Driven Resource Management within Urgent Computing Cyberinfrastructure. - Sergey V. Kovalchuk; Pavel A. Smirnov; Sergey V. Maryin; Timofey N. Tchurov; Vladislav A. Karbovskiy (ICCS, 2013)

Knowledge-Based Support for Complex Systems Exploration in Distributed Problem Solving Environments. - Pavel A. Smirnov; Sergey V. Kovalchuk; Alexander Boukhanovsky (KESW, 2013)

Knowledge-based Expressive Technologies within Cloud Computing Environments. - Sergey V. Kovalchuk; Pavel A. Smirnov; Konstantin V. Knyazkov; Alexander S. Zagarskikh; Alexander Boukhanovsky (CoRR, 2013)

Provenance-based workflow composition with virtual simulation objects technology. - Pavel A. Smirnov; Sergey V. Kovalchuk (FSKD, 2014)

Modeling and Simulation Framework for Development of Interactive Virtual Environments. - Konstantin V. Knyazkov; Sergey V. Kovalchuk (ICCS, 2014)

A Technology for BigData Analysis Task Description Using Domain-specific Languages. - Sergey V. Kovalchuk; Artem V. Zakharchuk; Jiaqi Liao; Sergey V. Ivanov; Alexander Boukhanovsky (ICCS, 2014)

Domain Ontologies Integration for Virtual Modelling and Simulation Environments. - Pavel A. Smirnov; Sergey V. Kovalchuk; Alexey V. Dukhanov (ICCS, 2014)

Linked-Data Integration for Workflow-Based Computational Experiments. - Pavel A. Smirnov; Sergey V. Kovalchuk (KESW, 2014)

Execution time estimation for workflow scheduling. - Artem M. Chirkin; Adam S. Z. Belloum; Sergey V. Kovalchuk; Marc X. Makkes (WORKS@SC, 2014)

Evolutionary Simulation of Complex Networks' Structures with Specific Functional Properties. - Victor V. Kashirin; Sergey V. Kovalchuk; Alexander V. Boukhanovsky (SOCO-CISIS-ICEUTE, 2014)

Dynamic Domain-Specific Language for BigData Tasks' Description. - Artem V. Zakharchuk; Sergey V. Kovalchuk; Denis A. Nasonov (GI-Jahrestagung, 2015)

Cloud Technology for Forecasting Accuracy Evaluation of Extreme Metocean Events. - Sergey S. Kosukhin; Sergey V. Kovalchuk; Alexander V. Boukhanovsky (ICCS, 2015)

Towards Ensemble Simulation of Complex Systems. - Sergey V. Kovalchuk; Alexander Boukhanovsky (ICCS, 2015)

Toolbox for Visual Explorative Analysis of Complex Temporal Multiscale Contact Networks Dynamics in Healthcare. - Andrey Karsakov; Alexander Moiseev; Ksenia D. Mukhina; Irina Ankudinova; Mariia Ignatieva; Evgeniy Krotov; Vladislav A. Karbovskii; Sergey V. Kovalchuk; Aleksandra O. Konradi (ICCS, 2016)

Agent-based Modelling Using Ensemble Approach with Spatial and Temporal Composition. - Andrey Kiselev; Vladislav A. Karbovskii; Sergey V. Kovalchuk (ICCS, 2016)

Complex Data-driven Predictive Modeling in Personalized Clinical Decision Support for Acute Coronary Syndrome Episodes. - Alexey V. Krikunov; Ekaterina V. Bolgova; Evgeniy Krotov; Tesfamariam M. Abuhay; Alexey N. Yakovlev; Sergey V. Kovalchuk (ICCS, 2016)

Computer-assisted workflows composition based on Virtual Simulation Objects technology. - Pavel A. Smirnov; Sergey V. Kovalchuk; Alexander V. Boukhanovsky (CoRR, 2016)

Improving Electronic Medical Records with Support of Human Computer Interaction in Medical Information Systems. - Ekaterina V. Bolgova; Nadezhda E. Zvartau; Sergey V. Kovalchuk; Marina A. Balakhontceva; Oleg G. Metsker (CENTERIS/ProjMAN/HCist, 2017)

Multiscale modeling of comorbidity relations in hypertensive outpatients. - Nikita V. Bukhanov; Marina Balakhontceva; Sergey V. Kovalchuk; Nadezhda Zvartau; Aleksandra O. Konradi (CENTERIS/ProjMAN/HCist, 2017)

Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. - Tesfamariam M. Abuhay; Sergey V. Kovalchuk; Klavdiya O. Bochenina; George Kampis; Valeria V. Krzhizhanovskaya; Michael Harold Lees (ICCS, 2017)

Simulation of emergency care for patients with ACS in Saint Petersburg for ambulance decision making. - Ivan Derevitskiy; Evgeniy Krotov; Daniil V. Voloshin; Alexey N. Yakovlev; Sergey V. Kovalchuk; Vladislav A. Karbovskii (ICCS, 2017)

Simulation of Patients Flow in Multiple Healthcare Units using Process and Data Mining Techniques for Model Identification. - Sergey V. Kovalchuk; Anastasia A. Funkner; Oleg G. Metsker; Aleksey N. Yakovlev (CoRR, 2017)

Execution time estimation for workflow scheduling. - Artem M. Chirkin; Adam S. Z. Belloum; Sergey V. Kovalchuk; Marc X. Makkes; Mikhail A. Melnik; Alexander A. Visheratin; Denis A. Nasonov (Future Gener. Comput. Syst., 2017)

Evolutionary simulation of complex networks' structures with specific functional properties. - Victor V. Kashirin; Anastasia A. Lantseva; Sergey V. Ivanov; Sergey V. Kovalchuk; Alexander V. Boukhanovsky (J. Appl. Log., 2017)

Data through the Computational Lens. - Sergey V. Kovalchuk; Tesfamariam M. Abuhay; Ilkay Altintas; Michael L. Norman; Michael Harold Lees; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2017)

Holistic Modeling of Chronic Diseases for Recommendation Elaboration and Decision Making. - Marina A. Balakhontceva; Anastasia A. Funkner; Anna A. Semakova; Oleg G. Metsker; Nadezhda E. Zvartau; Alexey N. Yakovlev; Anna E. Lutsenko; Sergey V. Kovalchuk (CENTERIS/ProjMAN/HCist, 2018)

Identification of Pathophysiological Subclinical Variances During Complex Treatment Process of Cardiovascular Patients. - Oleg G. Metsker; Alexey N. Yakovlev; Ekaterina V. Bolgova; Andrei Vasin; Sergey V. Kovalchuk (CENTERIS/ProjMAN/HCist, 2018)

Text and Data Mining Techniques in Judgment Open Data Analysis for Administrative Practice Control. - Oleg G. Metsker; Egor Trofimov; Sergey A. Sikorskiy; Sergey V. Kovalchuk (EGOSE, 2018)

Towards management of complex modeling through a hybrid evolutionary identification. - Sergey V. Kovalchuk; Oleg G. Metsker; Anastasia A. Funkner; Ilia O. Kisliakovskii; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Danila A. Vaganov; Klavdiya O. Bochenina (GECCO (Companion), 2018)

Towards Model-Based Policy Elaboration on City Scale Using Game Theory: Application to Ambulance Dispatching. - Sergey V. Kovalchuk; Mariia A. Moskalenko; Alexey N. Yakovlev (ICCS (1), 2018)

Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases. - Sergey A. Sikorskiy; Oleg G. Metsker; Alexey N. Yakovlev; Sergey V. Kovalchuk (ICCS (3), 2018)

Holistic Monitoring and Analysis of Healthcare Processes Through Public Internet Data Collection. - Oleg G. Metsker; Sergey A. Sikorskiy; Anna A. Semakova; Alexey V. Krikunov; Marina A. Balakhontceva; Natalia B. Melnikova; Sergey V. Kovalchuk (INSCI Workshops, 2018)

Forecasting Purchase Categories with Transition Graphs Using Financial and Social Data. - Danila A. Vaganov; Anastasia A. Funkner; Sergey V. Kovalchuk; Valentina Y. Guleva; Klavdiya Bochenina (SocInfo (1), 2018)

A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. - Sergey V. Kovalchuk; Oleg G. Metsker; Anastasia A. Funkner; Ilia O. Kisliakovskii; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Danila A. Vaganov; Klavdiya O. Bochenina (Complex., 2018)

Distributed data-driven platform for urgent decision making in cardiological ambulance control. - Sergey V. Kovalchuk; Evgeniy Krotov; Pavel A. Smirnov; Denis A. Nasonov; Alexey N. Yakovlev (Future Gener. Comput. Syst., 2018)

Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification. - Sergey V. Kovalchuk; Anastasia A. Funkner; Oleg G. Metsker; Aleksey N. Yakovlev (J. Biomed. Informatics, 2018)

Unified domain-specific language for collecting and processing data of social media. - Nikolay Butakov; Maxim Petrov; Ksenia D. Mukhina; Denis A. Nasonov; Sergey V. Kovalchuk (J. Intell. Inf. Syst., 2018)

Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory. - Tesfamariam M. Abuhay; Sergey V. Kovalchuk; Klavdiya Bochenina; Gali-Ketema Mbogo; Alexander A. Visheratin; George Kampis; Valeria V. Krzhizhanovskaya; Michael Harold Lees (J. Comput. Sci., 2018)

The art of computational science: Bridging gaps - forming alloys. - Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Petros Koumoutsakos; Eleni N. Chatzi; Michael Harold Lees; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2018)

Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. - Nikolay O. Nikitin; Pavel Vychuzhanin; Alexander Hvatov; Irina Deeva; Anna V. Kalyuzhnaya; Sergey V. Kovalchuk (GECCO (Companion), 2019)

Modelling and Analysis of Complex Patient-Treatment Process Using GraphMiner Toolbox. - Oleg G. Metsker; Sergey Kesarev; Ekaterina V. Bolgova; Kirill Golubev; Andrey N. Karsakov; Alexey N. Yakovlev; Sergey V. Kovalchuk (ICCS (5), 2019)

Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling. - Ksenia Balabaeva; Sergey V. Kovalchuk; Oleg G. Metsker (pHealth, 2019)

Graph-Based Predictive Modelling of Chronic Disease Development: Type 2 DM Case Study. - Ilya V. Derevitskii; Anastasia A. Funkner; Oleg G. Metsker; Sergey V. Kovalchuk (pHealth, 2019)

Personalized Assistance for Patients with Chronic Diseases Through Multi-Level Distributed Healthcare Process Assessment. - Liubov Elkhovskaya; Maxim Kabyshev; Anastasia A. Funkner; Marina Balakhontceva; Vladimir Fonin; Sergey V. Kovalchuk (pHealth, 2019)

Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning. - Oleg G. Metsker; Alexey N. Yakovlev; Aleksandr Ilin; Sergey V. Kovalchuk (pHealth, 2019)

Science at the intersection of data, modelling, and computation. - Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Yong Shi 001; Haohuan Fu; Michael Harold Lees; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2019)

Constructing Holistic Patient Flow Simulation Using System Approach. - Tesfamariam M. Abuhay; Oleg G. Metsker; Aleksey N. Yakovlev; Sergey V. Kovalchuk (ICCS (4), 2020)

Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis. - Tesfamariam M. Abuhay; Yemisrach G. Nigatie; Oleg G. Metsker; Aleksey N. Yakovlev; Sergey V. Kovalchuk (ICCS (4), 2020)

Experiencer Detection and Automated Extraction of a Family Disease Tree from Medical Texts in Russian Language. - Ksenia Balabaeva; Sergey V. Kovalchuk (ICCS (4), 2020)

The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. - Ilya V. Derevitskii; Daria A. Savitskaya; Alina Y. Babenko; Sergey V. Kovalchuk (ICCS (4), 2020)

Time Expressions Identification Without Human-Labeled Corpus for Clinical Text Mining in Russian. - Anastasia A. Funkner; Sergey V. Kovalchuk (ICCS (4), 2020)

Towards Modeling of Information Processing Within Business-Processes of Service-Providing Organizations. - Sergey V. Kovalchuk; Anastasia A. Funkner; Ksenia Y. Balabaeva; Ilya V. Derevitskii; Vladimir V. Fonin; Nikita V. Bukhanov (ICCS (1), 2020)

Automated Spelling Correction for Clinical Text Mining in Russian. - Ksenia Balabaeva; Anastasia A. Funkner; Sergey V. Kovalchuk (MIE, 2020)

Negation Detection for Clinical Text Mining in Russian. - Anastasia A. Funkner; Ksenia Balabaeva; Sergey V. Kovalchuk (MIE, 2020)

Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients. - Ilia V. Derevitskii; Sergey V. Kovalchuk (pHealth, 2020)

Surrogate-assisted performance tuning of knowledge discovery algorithms: application to clinical pathway evolutionary modeling. - Anastasia A. Funkner; Aleksey N. Yakovlev; Sergey V. Kovalchuk (CoRR, 2020)

Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis. - Tesfamariam M. Abuhay; Yemisrach G. Getinet; Oleg G. Metsker; Alexey N. Yakovlev; Sergey V. Kovalchuk (CoRR, 2020)

Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. - Sergey V. Kovalchuk; Georgy D. Kopanitsa; Ilya V. Derevitskii; Daria A. Savitskaya (CoRR, 2020)

Emerging Complexity in Distributed Intelligent Systems. - Valentina Y. Guleva; Egor Shikov; Klavdiya Bochenina; Sergey V. Kovalchuk; Alexander Alodjants; Alexander Boukhanovsky (Entropy, 2020)

Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement. - Katerina V. Bolgova; Sergey V. Kovalchuk; Marina A. Balakhontceva; Nadezhda Zvartau; Oleg G. Metsker (Int. J. E Health Medical Commun., 2020)

20 years of computational science. - Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Peter M. A. Sloot (J. Comput. Sci., 2020)

Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study. - Oleg G. Metsker; Kirill Magoev; Alexey N. Yakovlev; Stanislav Yanishevskiy; Georgy D. Kopanitsa; Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya (BMC Medical Informatics Decis. Mak., 2020)

Extraction of Temporal Structures for Clinical Events in Unlabeled Free-Text Electronic Health Records in Russian. - Anastasia A. Funkner; Dmitrii A. Zhurman; Sergey V. Kovalchuk (EFMI-STC, 2021)

Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems. - Georgy D. Kopanitsa; Ilia V. Derevitskii; Daria A. Savitskaya; Sergey V. Kovalchuk (EFMI-STC, 2021)

Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data. - Ksenia Balabaeva; Sergey V. Kovalchuk (ICCS (3), 2021)

Feature Engineering with Process Mining Technique for Patient State Predictions. - Liubov Elkhovskaya; Sergey V. Kovalchuk (ICCS (3), 2021)

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy. - Vladislav V. Pavlovskii; Ilia V. Derevitskii; Sergey V. Kovalchuk (ICCS (3), 2021)

Clustering Results Interpretation of Continuous Variables Using Bayesian Inference. - Ksenia Balabaeva; Sergey V. Kovalchuk (MIE, 2021)

Statistical Inference for Clustering Results Interpretation in Clinical Practice. - Alexander Kanonirov; Ksenia Balabaeva; Sergey V. Kovalchuk (pHealth, 2021)

Lifestyle Cancer Survival Predictors: Influence of Vegetarian Diet on the Relapse of Endometrial Cancer. - Georgy D. Kopanitsa; Oleg G. Metsker; Ekaterina V. Bolgova; Sergey V. Kovalchuk (pHealth, 2021)

An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records. - Varvara Koshman; Anastasia A. Funkner; Sergey V. Kovalchuk (pHealth, 2021)

Data-Driven Modeling of Complex Business Process in Heterogeneous Environment of Healthcare Organization with Health Information Systems. - Alexander D. Kshenin; Sergey V. Kovalchuk (pHealth, 2021)

Treatment Trajectories Graph Compression Algorithm Based on Cliques. - Svetozar Milykh; Sergey V. Kovalchuk (pHealth, 2021)

Citywide quality of health information system through text mining of electronic health records. - Anastasia A. Funkner; Michil P. Egorov; Sergey A. Fokin; Gennady M. Orlov; Sergey V. Kovalchuk (Appl. Netw. Sci., 2021)

Why Machine Learning Integrated Patient Flow Simulation? - Tesfamariam M. Abuhay; Adane Letta Mamuye; Stewart Robinson 001; Sergey V. Kovalchuk (CoRR, 2021)

Hybrid predictive modelling: Thyrotoxic atrial fibrillation case. - Ilya V. Derevitskii; Daria A. Savitskaya; Alina Y. Babenko; Sergey V. Kovalchuk (J. Comput. Sci., 2021)

20 years of computational science: Selected papers from 2020 International Conference on Computational Science. - Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Maciej Paszynski; Gábor Závodszky; Michael Lees; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2021)

COVID-19 Treatment Process Identification: A Case Study in Russian Hospital for Cardiology. - Liubov Elkhovskaya; Sergey V. Kovalchuk; Ilya Potapov; Dmitrii Ovchinnikov (HEALTHINF, 2022)

Study of the User Behaviour Caused by Automatic Recommendation Systems Call to Action. - Georgy D. Kopanitsa; Sergey V. Kovalchuk (HEALTHINF, 2022)

Neural Additive Models for Explainable Heart Attack Prediction. - Ksenia Balabaeva; Sergey V. Kovalchuk (ICCS (3), 2022)

Structuring Research Directions in Medical Domain with Topic Modeling: Application for PhD Theses Synopses in Dentistry. - Igor Babikov; Sergey V. Kovalchuk; Ivan Soldatov; Gennady Grebnev (pHealth, 2022)

Modelling Hospital Strategies in City-Scale Ambulance Dispatching. - Xinyu Fu 008; Valeria V. Krzhizhanovskaya; Alexey N. Yakovlev; Sergey V. Kovalchuk (CoRR, 2022)

Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes. - Liubov O. Elkhovskaya; Alexander D. Kshenin; Marina A. Balakhontceva; Sergey V. Kovalchuk (CoRR, 2022)

Assessment of cognitive characteristics in intelligent systems and predictive ability. - Oleg V. Kubryak; Sergey V. Kovalchuk; Nadezhda G. Bagdasaryan (CoRR, 2022)

Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. - Sergey V. Kovalchuk; Georgy D. Kopanitsa; Ilia V. Derevitskii; Georgy A. Matveev; Daria A. Savitskaya (J. Biomed. Informatics, 2022)

Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: Application to evolutionary modeling of clinical pathways. - Anastasia A. Funkner; Aleksey N. Yakovlev; Sergey V. Kovalchuk (J. Comput. Sci., 2022)

Computational science for a better future. - Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Maciej Paszynski; Dieter Kranzlmüller; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2022)

Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy. - Vladislav V. Pavlovskii; Ilia V. Derevitskii; Sergey V. Kovalchuk (J. Comput. Sci., 2022)

Bayesian Networks for Named Entity Prediction in Programming Community Question Answering. - Alexey Gorbatovski; Sergey V. Kovalchuk (ICCS (2), 2023)

Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets. - Vadim Lomshakov; Sergey V. Kovalchuk; Maxim Omelchenko; Sergey I. Nikolenko; Artem Aliev (ICCS (2), 2023)

RuMedSpellchecker: Correcting Spelling Errors for Natural Russian Language in Electronic Health Records Using Machine Learning Techniques. - Dmitrii Pogrebnoi; Anastasia A. Funkner; Sergey V. Kovalchuk (ICCS (3), 2023)

Automatic Structuring of Topics for Natural Language Generation in Community Question Answering in Programming Domain. - Lyudmila Rvanova; Sergey V. Kovalchuk (ICCS (2), 2023)

Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes. - Liubov O. Elkhovskaya; Alexander D. Kshenin; Marina A. Balakhontceva; Mikhail V. Ionov; Sergey V. Kovalchuk (Algorithms, 2023)

An Experimental Outlook on Quality Metrics for Process Modelling: A Systematic Review and Meta Analysis. - Ashish T. S. Ireddy; Sergey V. Kovalchuk (Algorithms, 2023)

The computational planet. - Sergey V. Kovalchuk; Clélia de Mulatier; Derek Groen; Maciej Paszynski; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2023)

Machine learning integrated patient flow simulation: why and how? - Tesfamariam M. Abuhay; Stewart Robinson 001; Adane Letta Mamuye; Sergey V. Kovalchuk (J. Simulation, 2023)

Reinforcement Learning for Question Answering in Programming Domain using Public Community Scoring as a Human Feedback. - Alexey Gorbatovski; Sergey V. Kovalchuk (AAMAS, 2024)

Modelling Information Perceiving Within Clinical Decision Support Using Inverse Reinforcement Learning. - Ashish T. S. Ireddy; Sergey V. Kovalchuk (ICCS (4), 2024)

Modelling of Practice Sharing in Complex Distributed Healthcare System. - Chao Li; Olga Petruchik; Elizaveta Grishanina; Sergey V. Kovalchuk (ICCS (4), 2024)

Trends in Computational Science: Natural Language Processing and Network Analysis of 23 Years of ICCS Publications. - Lijing Luo; Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Maciej Paszynski; Clélia de Mulatier; Jack J. Dongarra; Peter M. A. Sloot (ICCS (2), 2024)

Towards Explaining Emergent Behavior in Multi-Agent Systems Micro-Parameter Space Structuring with Feature Importance in Heatbug Model. - Sergey V. Kovalchuk; Chao Li; Oleg V. Kubryak (WI/IAT, 2024)

Computation at the Cutting Edge of Science. - Sergey V. Kovalchuk; Clélia de Mulatier; Valeria V. Krzhizhanovskaya; Jirí Mikyska; Maciej Paszynski; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2024)

RuMedSpellchecker: A new approach for advanced spelling error correction in Russian electronic health records. - Dmitrii Pogrebnoi; Anastasia A. Funkner; Sergey V. Kovalchuk (J. Comput. Sci., 2024)

Predicting Future Collaborations in a Scientific Community Using Graph Neural Networks. - Nachyn Dorzhu; Tatiana Sukhomlinova; Lijing Luo; Sergey V. Kovalchuk (ICCS (4), 2025)

Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images. - Dmitrii Evtyukhov; Georgy D. Kopanitsa; Oleg G. Metsker; Aleksandr Mogilevskii; Alexey N. Yakovlev; Sergey V. Kovalchuk (ICCS (Workshops 2), 2025)

Improving Project-Level Code Generation Using Combined Relevant Context. - Dmitriy Fedrushkov; Denis Tereshchenko; Sergey V. Kovalchuk; Artem Aliev (ICCS (4), 2025)

Simulation Modeling of Clinical Decision Making for Personalized Policy Identification. - Ashish T. S. Ireddy; Sergey V. Kovalchuk (ICCS (4), 2025)

Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning. - Chao Li; Dutao Zhang; Fei Ren; Sergey V. Kovalchuk (ICCS (Workshops 2), 2025)

Modelling diversity in hospital strategies in city-scale ambulance dispatching with coupled game-theoretic model and discrete-event simulation. - Xinyu Fu 008; Valeria V. Krzhizhanovskaya; Alexey N. Yakovlev; Sergey V. Kovalchuk (J. Biomed. Informatics, 2025)

Multi-agent norm perception and induction in distributed healthcare. - Chao Li; Olga Petruchik; Elizaveta Grishanina; Sergey V. Kovalchuk (J. Biomed. Informatics, 2025)

Computational science: Guiding the way towards a sustainable society. - Sergey V. Kovalchuk; Clélia de Mulatier; Valeria V. Krzhizhanovskaya; Leonardo Franco; Maciej Paszynski; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2025)

Evolution of the computational science community: The dynamics of topics and collaborations in 24 years of ICCS and JoCS publications. - Lijing Luo; Klavdiya Bochenina; Tesfamariam M. Abuhay; Nachyn Dorzhu; George Kampis; Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Maciej Paszynski; Clélia de Mulatier; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2025)

Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation Learning. - Dutao Zhang; Sergey V. Kovalchuk; YuLong He (CoRR, 2025)