Ковальчук Сергей Валерьевич

Статья

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.

Статья

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.

Тезисы

Обработка медицинских текстов на естественном языке

Статья

Kovalchuk S.V., Krzhizhanovskaya V.V., Sloot P. 20 years of computational Science. Journal of Computational Science. 2020. Vol. 46. pp. 101187.

Тезисы

Моделирование бизнес-процессов с высоким влиянием человеческого фактора на разнородных данных корпоративных информационных систем

Статья

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.

Статья

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.

Статья

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.

Статья

Bukhanov N.V., Trudkov P., Vinogradova E., Derevitckii I.V., Balabaeva K.I., Funkner A., Kovalchuk S.V. Computational approach for data-driven mining of upstream value-added structures. Proceedings of EAGE/AAPG Digital Subsurface for Asia Pacific Conference. 2020. pp. 1-5.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Тезисы

Семантический анализ корпусов текстов с помощью методов тематического моделирования

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

Функнер А.А., Ковальчук С.В. Суррогатная настройка эволюционных моделей на примере метода идентификации клинических путей. Международная школа-конференция "Высокопроизводительные вычисления и искусственный интеллект"". 2019.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

Ховричев М.А., Балахонцева М.А., Ковальчук С.В., Кисляковский И.О. Интеллектуальная интеграция разнородных источников данных в задачах медицины и здравоохранения. Proceedings of the 21th IEEE International Conference on Soft Computing and Measurements, SCM 2018. 2018. Т. 1.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Учебник, учебное пособие

Производственная (научно-исследовательская) и производственная (преддипломная) практика студентов: организация и проведение

Учебник, учебное пособие

Производственная (научно-исследовательская) и производственная (преддипломная) практика студентов: организация и проведение

Учебник, учебное пособие

МЕТОДИЧЕСКИЕ РЕКОМЕНДАЦИИ ПО ВЫПОЛНЕНИЮ ЛАБОРАТОРНЫХ РАБОТ ПО ДИСЦИПЛИНЕ «МАТЕМАТИЧЕСКИЕ МЕТОДЫ КОМПЛЕКСОВ ПРОГРАММ»

Статья

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.

Тезисы

Имитационное моделирование нагрузки на группу ключевых отделений специализированного медицинского центра в ходе обслуживания разнородного потока пациентов на примере острого коронарного синдрома

Статья

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.

Статья

Zvartau N., Krikunov A., Semakova A., Bolgova E., Kovalchuk S., Boukhanovsky A., Konradi A. Six-year trends in antyhypertensive monotherapy and blood pressure control in patients referred to specialized cardiological centre. Journal of Hypertension. 2017. Vol. 35. No. e-Supplement 2. pp. e102-e102.

Статья

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.

Статья

Zvartau N., Krikunov A., Semakova A., Bolgova E., Kovalchuk S., Boukhanovsky A., Konradi A. Antihypertensive treatment in routine clinical practice of specialized cardiological centre: six-years trends. Journal of Hypertension. 2017. Vol. 35. No. e-Supplement 2. pp. e93-e93.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

Zvartau N., Krikunov A., Semakova A., Bolgova E., Kovalchuk S., Boukhanovsky A., Konradi A.O. Prevalence of diabetes and lipid disorders in hypertension patients referred to specialized cardiological centre: five-years trends. Journal of Hypertension. 2016. Vol. 34. No. Suppl.2. pp. e322-e323.

Статья

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.

Статья

Zvartau N., Krikunov A., Semakova A., Bolgova E., Kovalchuk S., Boukhanovsky A., Konradi A.O. Five-years trends in demographic chcracteristics of hypertensive patients referred to specialized cardiological centre: age and gender. Journal of Hypertension. 2016. Vol. 34. No. Suppl.2. pp. e62.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

Kovalchuk S.V., Boukhanovsky A.V. Towards Ensemble Simulation of Complex Systems. Procedia Computer Science. 2015. Vol. 51. pp. 532-541.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

Chirkin A.M. ., Kovalchuk S.V. Towards Better Workflow Execution Time Estimation. IERI Procedia. 2014. Vol. 10. pp. 216–223.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Тезисы

Динамический предметно-ориентированный язык для задач распределенной обработки больших данных в средах облачных вычислений

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

Бухановский А.В., Ковальчук С.В., Марьин С.В., Рыбаков Г.М. Динамическое управление распределенными вычислительными ресурсами в составе композитного приложения. Научно-технический вестник СПбГУ ИТМО. 2010. № 3(67). С. 126-127.

Статья

Бухановский А.В., Ковальчук С.В., Марьин С.В. Интеллектуальные высокопроизводительные программные комплексы моделирования сложных систем: концепция, архитектура и примеры реализации. Известия высших учебных заведений. Приборостроение.. 2009. Т. 52. № 10. С. 5–24.