Научные руководители
Ковальчук Сергей Валерьевичкандидат технических наук kovalchuk@itmo.ru Структурное подразделение: национальный центр когнитивных разработок Должность: старший научный сотрудник Структурное подразделение: факультет цифровых трансформаций Должность: доцент Профиль: 05.13.11 - Математическое и программное обеспечение вычислительных машин, комплексов и компьютерных сетей 05.13.17 - Теоретические основы информатики 05.13.18 - Математическое моделирование, численные методы и комплексы программ 05.13.10 - Управление в социальных и экономических системах Область интересов: Моделирование сложных систем, высокопроизводительные и распределенные вычисления, интеллектуальные и знание-ориентированные технологии, предсказательное моделирование, технологии электронной науки (eScience). Рабочий язык: Английский, Русский |
Публикации руководителя
Выходные данные | Год | Индексирование в БД |
Bolgova K.V., Kovalchuk S.V., Balakhontceva M.A., Zvartau N.E., Metsker O.G. Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement//International Journal of E-Health and Medical Communications, 2020, Vol. 11, No. 1, pp. 93-106 | 2020 | Scopus, Web of Science |
Derevitskii I.V., Kovalchuk S.V. . Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients//Studies in health technology and informatics, 2020, Vol. 273, pp. 123-128 | 2020 | Scopus, Web of Science |
Derevitskii I.V., Savitskaya D.A., Babenko A.Y., Kovalchuk S.V. The atrial fibrillation risk score for hyperthyroidism patients//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12140 LNCS, pp. 495-508 | 2020 | Scopus, Web of Science |
Бухановский А.В., Иванов С.В., Ковальчук С.В., Нечаев Ю.И. Онтологическая система знаний и вычислительных ресурсов современных интеллектуальных технологий // Онтология проектирования -2020. - Т. 10. - № 1(35). - С. 22-33 | 2020 | ВАК, РИНЦ |
Balabaeva K., Funkner A., Kovalchuk S. Automated Spelling Correction for Clinical Text Mining in Russian//Studies in health technology and informatics, 2020, Vol. 270, pp. 43-47 | 2020 | Scopus, Web of Science |
Funkner A., Balabaeva K., Kovalchuk S. Negation Detection for Clinical Text Mining in Russian//Studies in health technology and informatics, 2020, Vol. 270, pp. 342-346 | 2020 | Scopus, Web of Science |
Funkner A.A., Kovalchuk S.V. Time Expressions Identification Without Human-Labeled Corpus for Clinical Text Mining in Russian//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12140 LNCS, pp. 591-602 | 2020 | Scopus, Web of Science |
Kovalchuk S.V., Funkner A.A., Balabaeva K.Y., Derevitskii I.V., Fonin V.V., Bukhanov N.V. Towards Modeling of Information Processing Within Business-Processes of Service-Providing Organizations//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12137 LNCS, pp. 667-675 | 2020 | Scopus, Web of Science |
Abuhay T.M., Metsker O.G., Yakovlev A.N., Kovalchuk S.V. Constructing holistic patient flow simulation using system approach//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12140 LNCS, pp. 418-429 | 2020 | Scopus, Web of Science |
Abuhay T.M., Nigatie Y.G., Metsker O., Yakovlev A.N., Kovalchuk S.V. Investigating coordination of hospital departments in delivering healthcare for acute coronary syndrome patients using data-driven network analysis//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12140 LNCS, pp. 430-440 | 2020 | Scopus, Web of Science |
Kovalchuk S.V., Krzhizhanovskaya V.V., Sloot P. 20 years of computational Science//Journal of Computational Science, 2020, Vol. 46, pp. 101187 | 2020 | Scopus, Web of Science |
Metsker O., Magoev K., Yakovlev A., Yanishevskiy S., Kopanitsa G., Kovalchuk S., Krzhizhanovskaya V.V. Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study//BMC Medical Informatics and Decision Making, 2020, Vol. 20, No. 1, pp. 201 | 2020 | Scopus, Web of Science |
Derevitckii I.V., Kovalchuk S.V. Machine Learning-Based Predictive Modeling of Complications of Chronic Diabetes//Procedia Computer Science, 2020, Vol. 178, pp. 274-283 | 2020 | Scopus, Web of Science |
Leonenko V.N., Kovalchuk S.V. Analyzing the spatial distribution of individuals predisposed to arterial hypertension in Saint Petersburg using synthetic populations//ITM Web of Conferences, 2020, Vol. 31, pp. 03002 | 2020 | Web of Science |
Guleva V.Y., Shikov E., Bochenina K.O., Kovalchuk S.V., Alodjants A.P., Bukhanovsky A.V. . Emerging complexity in distributed intelligent systems//Entropy, 2020, Vol. 22, No. 12, pp. 1437 | 2020 | Scopus, Web of Science |
Balabaeva K.Y., Akmadieva L., Kovalchuk S.V. Optimal Wells Placement to Maximize the Field Coverage Using Derivative-Free Optimization//Procedia Computer Science, 2020, Vol. 178, pp. 65-74 | 2020 | Scopus, Web of Science |
Balabaeva K.Y., Kovalchuk S.V. Post-hoc Interpretation of Clinical Pathways Clustering using Bayesian Inference//Procedia Computer Science, 2020, Vol. 178, pp. 264-273 | 2020 | Scopus, Web of Science |
Balabaeva K., Kovalchuk S.V. Experiencer detection and automated extraction of a family disease tree from medical texts in russian language//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12140 LNCS, pp. 603-612 | 2020 | Scopus, Web of Science |
Elkhovskaya L., Kabyshev M., Funkner A., Balakhontceva M., Fonin V., Kovalchuk S. Personalized Assistance for Patients with Chronic Diseases Through Multi-Level Distributed Healthcare Process Assessment//Studies in health technology and informatics, 2019, Vol. 261, pp. 309-312 | 2019 | Scopus, Web of Science |
Metsker O.G., Sikorskiy S.A., Semakova A.A., Krikunov A., Balakhontceva M.A., Melnikova N.B., Kovalchuk S.V. Holistic Monitoring and Analysis of Healthcare Processes through Public Internet Data Collection//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, Vol. 11551, pp. 42-50 | 2019 | Scopus, Web of Science |
Metsker O., Trofimov E., Sikorskiy S., Kovalchuk S.V. Text and Data Mining Techniques in Judgment Open Data Analysis for Administrative Practice Control//Communications in Computer and Information Science, 2019, Vol. 947, pp. 169-180 | 2019 | Scopus, Web of Science |
Derevitskii I., Funkner A., Metsker O., Kovalchuk S. Graph-Based Predictive Modelling of Chronic Disease Development: Type 2 DM Case Study//Studies in health technology and informatics, 2019, Vol. 261, pp. 150-155 | 2019 | Scopus, Web of Science |
Metsker O., Kesarev S., Bolgova E., Golubev K., Karsakov A., Yakovlev A., Kovalchuk S. Modelling and Analysis of Complex Patient-Treatment Process Using GraphMiner Toolbox//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, Vol. 11540, pp. 674-680 | 2019 | Scopus, Web of Science |
Nikitin N.O., Deeva I., Vychuzhanin P., Kalyuzhnaya A.V., Hvatov A., Kovalchuk S.V. Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study//GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, 2019, pp. 1583-1591 | 2019 | Scopus, Web of Science |
Derevitskii I.V., Kovalchuk S.V. Analysis course of the disease of type 2 diabetes patients using Markov chains and clustering methods//Procedia Computer Science, 2019, Vol. 156, pp. 114-122 | 2019 | Scopus, Web of Science |
Balabaeva K.I., Kovalchuk S.V., Metsker O. Dynamic features impact on the quality of chronic heart failure predictive modelling//Studies in health technology and informatics, 2019, Vol. 261, pp. 179-184 | 2019 | Scopus, Web of Science |
Funkner A.A., Zvartau N.E., Kovalchuk S.V. Motif identification in vital signs of chronic patients//Procedia Computer Science, 2019, Vol. 156, pp. 105-113 | 2019 | Scopus, Web of Science |
Metsker O., Yakovlev A., Ilin A.E., Kovalchuk S.V. Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning//Studies in health technology and informatics, 2019, Vol. 261, pp. 137-142 | 2019 | Scopus, Web of Science |
Ionov M., Zvartau N., Semakova A.A., Bolgova E., Kovalchuk S.V., Boukhanovsky A.V., Konradi A.O. Response rate and patients characteristics associated with effective antihypertensive monotherapy//Journal of Hypertension, 2019, Vol. 37, pp. E105 | 2019 | Scopus, Web of Science |
Balabaeva K., Kovalchuk S.V. Comparison of Temporal and Non-Temporal Features Effect on Machine Learning Models Quality and Interpretability for Chronic Heart Failure Patients//Procedia Computer Science, 2019, Vol. 156, pp. 87-96 | 2019 | Scopus, Web of Science |
Mikhailov Y.I., Budrin A.G., Budrina E.V., Kovalchuk S.V., Soldatova A.V., Lemeshkin R.N. Informational Support of Automated Quality Management Systems for Medical Service Provision Based on the Prognosis of the Patient Affects Outcome in Social Emergencies//2019 International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), 2019, pp. 284-287 | 2019 | Scopus, Web of Science |
Kabyshev M.V., Kovalchuk S.V. . Development of personalized mobile assistant for chronic disease patients: diabetes mellitus case study//Procedia Computer Science, 2019, Vol. 156, pp. 123-133 | 2019 | Scopus, Web of Science |
Kovalchuk S.V., Krzhizhanovskaya V.V. ., Shi Y., Fu H., Lees M.H., Dongarra J., Sloot P. Science at the Intersection of Data, Modelling, and Computation//Journal of Computational Science, 2019, Vol. 34, pp. 117-119 | 2019 | Scopus, Web of Science |
Kovalchuk S.V. ., Krotov E., Smirnov P.A. ., Nasonov D.A. ., Yakovlev A.N. Distributed Data-Driven Platform for Urgent Decision Making in Cardiological Ambulance Control//Future Generation Computer Systems, 2018, Vol. 79, No. Part.1, pp. 144-154 | 2018 | Scopus, Web of Science |
Kovalchuk S.V., Krzhizhanovskaya V.V., Koumoutsakos P., Chatzi E., Lees M.H., Dongarra J., Sloot P.M. The Art of Computational Science: Bridging Gaps – Forming Alloys//Journal of Computational Science, 2018, Vol. 26, pp. 190-192 | 2018 | Scopus, Web of Science |
Metsker O., Yakovlev A., Bolgova E.V., Vasin A., Kovalchuk S. Identification of Pathophysiological Subclinical Variances During Complex Treatment Process of Cardiovascular Patients//Procedia Computer Science, 2018, Vol. 138, pp. 161-168 | 2018 | Scopus, Web of Science |
Abuhay T.M., Kovalchuk S.V., Bochenina K.O., Mbogo G., Visheratin A.A., Kampis G., Krzhizhanovskaya V.V., Lees M.H. Analysis of Publication Activity of Computational Science Society in 2001-2017 Using Topic Modelling and Graph Theory//Journal of Computational Science, 2018, Vol. 26, pp. 193-204 | 2018 | Scopus, Web of Science |
Kovalchuk S.V., Moskalenko M.A., Yakovlev A.N. Towards Model-based Policy Elaboration on City Scale using Game Theory: Application to Ambulance Dispatching//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 10860, pp. 404-417 | 2018 | Scopus, Web of Science |
Kovalchuk S.V. ., Funkner A.A., Metsker O.G., Yakovlev A.N. Simulation of Patient Flow in multiple Healthcare Units using Process and Data Mining Techniques for Model Identification//Journal of Biomedical Informatics, 2018, Vol. 82, pp. 128-142 | 2018 | Scopus, Web of Science |
Butakov N., Petrov M., Mukhina K., Nasonov D.A., Kovalchuk S.V. Unified domain-specific language for collecting and processing data of social media//Journal of Intelligent Information Systems, 2018, Vol. 51, No. 2, pp. 389-414 | 2018 | Scopus, Web of Science |
Zvartau N., Semakova A., Bolgova E., Kovalchuk S., Boukhanovsky A., Konradi A. Prediction Of Blood Pressure-lowering Efficacy Of Antihypertensive Treatment Depending On Individual Patient Characteristics: Initial Model//Journal of Hypertension, 2018, Vol. 36, No. Suppl.1, pp. e21 | 2018 | Scopus, Web of Science |
Abuhay T.M., Nigatie Y.G., Metsker O.G., Kovalchuk S.V. . Investigating Application of Change Point Analysis in Monitoring Health Condition of Acute Coronary Syndrome Patients//Procedia Computer Science, 2018, Vol. 136, pp. 408-415 | 2018 | Scopus, Web of Science |
Sikorskiy S., Metsker O., Yakovlev A., Kovalchuk S. Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 10862, pp. 818-824 | 2018 | Scopus, Web of Science |
Fu X., Presbitero A., Kovalchuk S.V., Krzhizhanovskaya V.V. Coupling Game Theory and Discrete-Event Simulation for Model-Based Ambulance Dispatching//Procedia Computer Science, 2018, Vol. 136, pp. 398-407 | 2018 | Scopus, Web of Science |
Balakhontceva M.A., Funkner A.A., Semakova A.A., Metsker O.G., Zvartau N.E., Yakovlev A.N., Lutsenko A.E., Kovalchuk S.V. Holistic Modeling of Chronic Diseases for Recommendation Elaboration and Decision Making//Procedia Computer Science, 2018, Vol. 138, pp. 228-237 | 2018 | Scopus, Web of Science |
Kovalchuk S.V., Kisliakovskii I.O., Metsker O.G., Nikitin N.O., Funkner A.A., Kalyuzhnaya A.V., Vaganov D.A., Bochenina K.O. Towards management of complex modeling through a hybrid evolutionary identification//GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, 2018, pp. 255-256 | 2018 | Scopus |
Vaganov D., Funkner A., Kovalchuk S., Guleva V., Bochenina K. Forecasting Purchase Categories with Transition Graphs Using Financial and Social Data//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 11185, pp. 439-454 | 2018 | Scopus, Web of Science |
Metsker O., Sikorsky S., Yakovlev A., Kovalchuk S. Dynamic mortality prediction using machine learning techniques for acute cardiovascular cases//Procedia Computer Science, 2018, Vol. 136, pp. 351-358 | 2018 | Scopus, Web of Science |
Kovalchuk S.V. ., Metsker O.G., Funkner A.A., Kisliakovskii I.O., Nikitin N.O., Kalyuzhnaya A.V., Vaganov D.A., Bochenina K.O. A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification//Complexity, 2018, pp. 5870987 | 2018 | Scopus, Web of Science |
Yakovlev A., Metsker O., Kovalchuk S.V., Bologova E. Prediction of in-hospital mortality and length of stay in acute coronary syndrome patients using machine-learning methods//Journal of the American College of Cardiology, 2018, Vol. 71, No. 11(Suppl.), pp. A242 | 2018 | Scopus, Web of Science |
Abuhay T.M., Nigatie Y.G., Kovalchuk S.V. Towards Predicting Trend of Scientific Research Topics using Topic Modeling//Procedia Computer Science, 2018, Vol. 136, pp. 304-310 | 2018 | Scopus, Web of Science |
Абухай Т., Ковальчук С.В., Балахонцева М.А., Бухановский А.В. Моделирование, анализ и прогнозирование процессов оказания кардиологической помощи в стационаре // Известия высших учебных заведений. Приборостроение -2018. - Т. 61. - № 8. - С. 730-733 | 2018 | ВАК, РИНЦ |
Лемешкин Р.Н., Савченко И., Латыпов И.Ф., Жуков А., Крикунов А.В., Ковальчук С.В., Балахонцева М.А. Имитационное моделирование - инструмент научного изучения организации медицинского обеспечения войск (сил) в военных конфликтах и чрезвычайных ситуациях мирного времени // Медицина катастроф -2018. - № 2(102). - С. 5-10 | 2018 | ВАК, РИНЦ |
Семакова А.А., Звартау Н.Э., Ковальчук С.В., Бухановский А.В. Многомасштабное популяционное моделирование процессов развития и лечения артериальной гипертензии // Известия высших учебных заведений. Приборостроение -2018. - Т. 61. - № 10. - С. 922-929 | 2018 | ВАК, РИНЦ |
Magoev K., Krzhizhanovskaya V.V., Kovalchuk S.V. Application of clustering methods for detecting critical acute coronary syndrome patients//Procedia Computer Science, 2018, Vol. 136, pp. 370-379 | 2018 | Scopus, Web of Science |
Kovalchuk S.V. ., Funkner A., Metsker O., Yakovlev A. Data-driven modeling and simulation of complex healthcare environment for p4 medicine//Исследования по геоинформатике: труды геофизического центра РАН, 2017, Vol. 5, No. 1, pp. 144 | 2017 | РИНЦ |
Лемешкин Р.Н., Крикунов А.В., Ковальчук С.В., Савченко И. Имитационная модель оказания медицинской помощи раненым в медицинском отряде специального назначения в ходе ликвидации медико-санитарных последствий чрезвычайных ситуаций // Медико-биологические и социально-психологические проблемы безопасности в чрезвычайных ситуациях -2017. - № 4. - С. 20-33 | 2017 | ВАК, РИНЦ |
Функнер А.А., Яковлев А.Н., Ковальчук С.В. Имитационное моделирование нагрузки на группу ключевых отделений специализированного медицинского центра в ходе обслуживания разнородного потока пациентов на примере острого коронарного синдрома // Труды Восьмой Всероссийской научно-практической конференции "Имитационное моделирование. Теория и практика" (ИММОД-2017) (СПб, 18-20октября 2017г.) -2017. - С. 550-553 | 2017 | РИНЦ |
Bolgova E.V., Zvartau N.E., Kovalchuk S., Balakhontceva M., Metsker O.G. Improving Electronic Medical Records with Support of Human Computer Interaction in Medical Information Systems//Procedia Computer Science, 2017, Vol. 121, pp. 469-474 | 2017 | Scopus, Web of Science |
Metsker O.G., Bolgova E.V., Yakovlev A.N., Funkner A.A., Kovalchuk S.V. . Pattern-based Mining in Electronic Health Records for Complex Clinical Process Analysis//Procedia Computer Science, 2017, Vol. 119, pp. 197-206 | 2017 | Scopus, Web of Science |
Palomares I., Kovalchuk S.V. . Multi-View Data approaches in Recommender Systems: an Overview: (Invited Paper)//Procedia Computer Science, 2017, Vol. 119, pp. 30-41 | 2017 | Scopus, Web of Science |
Kisliakovskii I., Balakhontceva M., Kovalchuk S., Zvartau N., Konradi A. Towards a simulation-based framework for decision support in healthcare quality assessment//Procedia Computer Science, 2017, Vol. 119, pp. 207-214 | 2017 | Scopus, Web of Science |
Funkner A., Yakovlev A., Kovalchuk S.V. . Data-driven modeling of clinical pathways using electronic health records//Procedia Computer Science, 2017, Vol. 121, pp. 835-842 | 2017 | Scopus, Web of Science |
Abuhay T.M., Kovalchuk S.V. ., Bochenina K.O., Kampis G., Krzhizhanovskaya V.V. ., Lees M.H. Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory//Procedia Computer Science, 2017, Vol. 108, pp. 7-17 | 2017 | Scopus, Web of Science |
Funkner A.A., Yakovlev A.N., Kovalchuk S.V. . Towards Evolutionary Discovery of Typical Clinical Pathways in Electronic Health Records//Procedia Computer Science, 2017, Vol. 119, pp. 234-244 | 2017 | Scopus, Web of Science |
Bukhanov N., Balakhontceva M., Kovalchuk S., Zvartau N., Konradi A. Multiscale modeling of comorbidity relations in hypertensive outpatients//Procedia Computer Science, 2017, Vol. 121, pp. 446-450 | 2017 | Scopus, Web of Science |
Zvartau N., Krikunov A., Semakova A., Bolgova E., Kovalchuk S., Boukhanovsky A., Konradi A. Six-year trends in antihypertensive monotherapy: focus on blood pressure control and originals/generics ratio//European heart journal, 2017, Vol. 38, No. Suppl. 1, pp. 359-359 | 2017 | Scopus, Web of Science |
Kovalchuk S.V., Abuhay T.M., Altintas I., Norman M., Lees M.H., Krzhizhanovskaya V.V., Dongarra J., Sloot P. Data through the Computational Lens//Journal of Computational Science, 2017, Vol. 20, pp. 81-84 | 2017 | Scopus, Web of Science |
Derevitskiy I., Krotov E., Voloshin D., Yakovlev A., Kovalchuk S.V., Karbovskii V. Simulation of emergency care for patients with ACS in Saint Petersburg for ambulance decision making//Procedia Computer Science, 2017, Vol. 108, pp. 2210-2219 | 2017 | Scopus, Web of Science |
Chirkin A.M., Belloum A., Kovalchuk S.V., Makkes M., Melnik M.A., Visheratin A.A., Nasonov D.A. Execution Time Estimation for Workflow Scheduling//Future Generation Computer Systems, 2017, Vol. 75, pp. 376-387 | 2017 | Scopus, Web of Science |
Kashirin V.V. ., Lantseva A.A., Ivanov S.V., Kovalchuk S.V. ., Boukhanovsky A.V. Evolutionary simulation of complex networks' structures with specific functional properties//Journal of Applied Logic, 2017, Vol. 24, pp. 39-49 | 2017 | Scopus, Web of Science |
Kovalchuk S.V., Krikunov A.V., Knyazkov K.V., Boukhanovsky A.V. Classification issues within ensemble-based simulation: application to surge floods forecasting//Stochastic Environmental Research and Risk Assessment, 2017, Vol. 31, No. 5, pp. 1183-1197 | 2017 | Scopus, Web of Science |
Funkner A., Kovalchuk S.V., Bochenina K. Preoperational Time Prediction for Percutaneous Coronary Intervention Using Machine Learning Techniques//Procedia Computer Science, 2016, Vol. 101, pp. 172-176 | 2016 | Scopus, Web of Science |
Zvartau N., Krikunov A.V., Semakova A.A., Bolgova E.V., Kovalchuk S.V. ., Bukhanovsky A.V. . Five-year trends in specific risk factors in hypertensive patients reffered to specialized cardiological centre//European heart journal, 2016, Vol. 37, No. Suppl.1, pp. 66-67 | 2016 | Scopus, Web of Science |
Bolgova E.V., Prokusheva D.I., Krikunov A.V., Zvartau N.E., Kovalchuk S.V. Human-Computer Interaction in Electronic Medical Records: From the Perspectives of Physicians and Data Scientists//Procedia Computer Science, 2016, Vol. 100, pp. 915–920 | 2016 | Scopus, Web of Science |
Krikunov A.V., Bolgova E.V., Krotov V., Abukhai T., Yakovlev A.N., Kovalchuk S.V. Complex data-driven predictive modeling in personalized clinical decision support for acute coronary syndrome episodes//Procedia Computer Science, 2016, Vol. 80, pp. 518-529 | 2016 | Scopus, Web of Science |
Kiselev A.V., Karbovskii V., Kovalchuk S.V. . Agent-based modelling using ensemble approach with spatial and temporal composition//Procedia Computer Science, 2016, Vol. 80, pp. 530-541 | 2016 | Scopus, Web of Science |
Karsakov A., Moiseev A., Mukhina K., Ankudinova I., Ignatieva M., Krotov E., Karbovskii V., Kovalchuk S., Konradi A. Toolbox for Visual Explorative Analysis of Complex Temporal Multiscale Contact Networks Dynamics in Healthcare//Procedia Computer Science, 2016, Vol. 80, pp. 2107-2118 | 2016 | Scopus, Web of Science |
Syomov I.I., Bolgova E.V., Kovalchuk S.V., Krikunov A.V., Moiseeva O.M., Simakova M.A. Towards Infrastructure for Knowledge-based Decision Support in Clinical Practice//Procedia Computer Science, 2016, Vol. 100, pp. 907–914 | 2016 | Scopus, Web of Science |
Abuhay T.M., Krikunov A.V., Bolgova E.V., Ratova L.G., Kovalchuk S.V. Simulation of Patient Flow and Load of Departments in a Specialized Medical Center//Procedia Computer Science, 2016, Vol. 101, pp. 143–151 | 2016 | Scopus, Web of Science |
Zakharchuk A.V., Kovalchuk S.V., Nasonov D.A. Dynamic domain-specific language for BigData tasks' description//Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), 2015, Vol. 246, pp. 1207-1218 | 2015 | Scopus |
Kovalchuk S.V., Knyazkov K.V., Syomov I.I., Yakovlev A.N., Boukhanovsky A.V. Personalized Clinical Decision Support with Complex Hospital-Level Modelling//Procedia Computer Science, 2015, Vol. 66, pp. 392-401 | 2015 | Scopus, Web of Science |
Krikunov A.V., Kovalchuk S.V. . Dynamic Selection of Ensemble Members in Multi-model Hydrometeorological Ensemble Forecasting//Procedia Computer Science, 2015, Vol. 66, pp. 220-227 | 2015 | Scopus, Web of Science |
Kosukhin S.S., Kovalchuk S.V., Boukhanovsky A.V. Cloud Technology for Forecasting Accuracy Evaluation of Extreme Metocean Events//Procedia Computer Science, 2015, Vol. 51, pp. 2933-2937 | 2015 | Scopus, Web of Science |
Kovalchuk S.V., Boukhanovsky A.V. Towards Ensemble Simulation of Complex Systems//Procedia Computer Science, 2015, Vol. 51, pp. 532-541 | 2015 | Scopus, Web of Science |
Nasonov D.A. ., Visheratin A.A., Knyazkov K.V., Kovalchuk S.V. Interactive e-Science Cyberinfrastructure for Workflow Management Coupled with Big Data Technology//International Multidisciplinary Scientific GeoConference-SGEM: 15th International Multidisciplinary Scientific Geoconference SGEM 2015, 2015, Vol. 1, No. 2, pp. 175-182 | 2015 | Scopus, Web of Science |
Chirkin A.M. ., Belloum A., Kovalchuk S.V., Makkes M. Execution Time Estimation for Workflow Scheduling//Proceedings of WORKS 2014: The 9th Workshop on Workflows in Support of Large-Scale Science - held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2014, pp. 7019857 | 2014 | Scopus, Web of Science |
Smirnov P.A., Kovalchuk S.V. Provenance-Based Workflow Composition with Virtual Simulation Objects Technology//2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014, 2014, pp. 930-934 | 2014 | Scopus, Web of Science |
Nasonov D.A., Churov T.N., Zagarskikh A.S., Kovalchuk S.V. Technological platform for complex processing of large data within early warning systems//WIT Transactions on Information and Communication Technologies, 2014, Vol. 56, pp. 625-634 | 2014 | Scopus |
Kashirin V.V., Kovalchuk S.V., Boukhanovsky A.V. Evolutionary simulation of complex networks’ structures with specific functional properties//Advances in Intelligent Systems and Computing, 2014, Vol. 299, pp. 63-72 | 2014 | Scopus, Web of Science |
Kovalchuk S.V., Bezgodov A.A., Terekhov D.M., Boukhanovsky A.V. Interactive Environment for Affective Visual Analysis of Large Data within Virtual Reality//Proceedings of 2014 Science and Information Conference, 2014, pp. 736-741 | 2014 | Scopus, Web of Science |
Kovalchuk S.V., Smirnov P.A., Knyazkov K.V., Zagarskikh A.S., Boukhanovsky A.V. Knowledge-based Expressive Technologies within Cloud Computing Environments//Advances in Intelligent Systems and Computing, 2014, Vol. 279, pp. 1-11 | 2014 | Scopus, Web of Science |
Knyazkov K.V. ., Kovalchuk S.V. . Modeling and Simulation Framework for Development of Interactive Virtual Environments//Procedia Computer Science, 2014, Vol. 29, pp. 332–342 | 2014 | Scopus, Web of Science |
Chirkin A.M. ., Kovalchuk S.V. Towards Better Workflow Execution Time Estimation//IERI Procedia, 2014, Vol. 10, pp. 216–223 | 2014 | Web of Science |
Dukhanov A.V., Smirnov P.A., Karpova M.S., Kovalchuk S.V. e-Learning Course Design Based on the Virtual Simulation Objects Concept//8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings, 2014, pp. 7036016 | 2014 | Scopus, Web of Science |
Smirnov P.A., Kovalchuk S.V. Linked-Data Integration for Workflow-Based Computational Experiments//Communications in Computer and Information Science, 2014, Vol. 468, pp. 175-183 | 2014 | Scopus, Web of Science |
Smirnov P.A., Kovalchuk S.V., Dukhanov A.V. Domain Ontologies Integration for Virtual Modelling and Simulation Environments//Procedia Computer Science, 2014, Vol. 29, pp. 2507 -2514 | 2014 | Scopus, Web of Science |
Kovalchuk S.V. ., Zakharchuk A.V., Liao J., Ivanov S.V. ., Boukhanovsky A.V. . A Technology for BigData Analysis Task Description using Domain-Specific Languages//Procedia Computer Science, 2014, Vol. 29, pp. 488–498 | 2014 | Scopus, Web of Science |
Kovalchuk S.V., Smirnov P.A., Maryin S.V., Tchurov T.N., Karbovsky V.A. Deadline-driven resource management within urgent computing cyberinfrastructure//Procedia Computer Science, 2013, Vol. 18, pp. 2203 – 2212 | 2013 | Scopus, Web of Science |
Smirnov P.A. ., Kovalchuk S.V., Boukhanovsky A.V. . Knowledge-based support for complex systems exploration in distributed problem solving environments//Communications in Computer and Information Science, 2013, Vol. 394, pp. 147-161 | 2013 | Scopus, Web of Science |
Ковальчук С.В., Чиркин А.М., Князьков К.В. Методы построения и использования моделей производительности облачных сервисов // Динамика сложных систем - XXI век -2013. - Т. 7. - № 3. - С. 90-94 | 2013 | ВАК, РИНЦ |
Ivanov S.V., Kovalchuk S.V., Boukhanovsky A.V. Workflow-based Collaborative Decision Support for Flood Management Systems//Procedia Computer Science, 2013, Vol. 18, pp. 2213 – 2222 | 2013 | Scopus, Web of Science |
Kovalchuk S.V., Terekhov D.M., Bezgodov A.A., Boukhanovsky A.V. Visual Exploration of Complex Network Data Using Affective Brain-Computer Interface//International Journal of Advanced Computer Science and Applications (IJACSA), 2013, Vol. 4, No. 7, pp. 21–27 | 2013 | |
Knyazkov K.V., Kovalchuk S.V., Tchurov T.N., Maryin S.V., Boukhanovsky A.V. CLAVIRE: e-Science Infrastructure for Data-driven Computing//Journal of Computational Science, 2012, Vol. 3, No. 6, pp. 504–510 | 2012 | Scopus, Web of Science |
Kovalchuk S.V., Smirnov P.A., Kosukhin S.S., Boukhanovsky A.V. Virtual Simulation Objects Concept as a Framework for System-Level Simulation//2012 IEEE 8th International Conference on E-Science, e-Science 2012, 2012, pp. 6404413 | 2012 | Scopus, Web of Science |
Boukhanovsky, A.V. ., Kovalchuk S.V. . High-Level Knowledge-Based Structures for Simulation within Urgent Computing Tasks//Procedia Computer Science, 2012, Vol. 9, pp. 1694-1703 | 2012 | Scopus, Web of Science |
Kovalchuk S.V., Larchenko A., Boukhanovsky A.V. Knowledge-Based Resource Management for Distributed Problem Solving//Advances in Intelligent and Soft Computing, 2011, Vol. 123, pp. 121-128 | 2011 | Scopus, Web of Science |
Ковальчук С.В., Маслов В.Г. Интеллектуальная поддержка процесса конструирования композитных приложений в распределенных проблемно-ориентированных средах // Известия высших учебных заведений. Приборостроение -2011. - Т. 54. - № 10. - С. 29-36 | 2011 | ВАК, РИНЦ |
Марьин С.В., Ковальчук С.В. Сервисно-ориентированная платформа исполнения композитных приложений в распределенной среде // Известия высших учебных заведений. Приборостроение -2011. - Т. 54. - № 10. - С. 21-29 | 2011 | ВАК, РИНЦ |