Ковальчук Сергей Валерьевич

Статья

Kovalchuk S.V., Ireddy A.T. Prediction of Users Perceptional State for Human-Centric Decision Support Systems in Complex Domains through Implicit Cognitive State Modeling. Proceedings of the Annual Meeting of the Cognitive Science Society. 2024. Vol. 46. pp. 3257-3264.

Статья

Солдатов А.Н., Солдатов И.К., Ковальчук С.В. Моделирование восприятия рекомендаций системы поддержки принятия врачебных решений на основе предсказательного моделирования при проведении профилактических осмотров врачами-стоматологами [Modeling perceiving of recommendations provided by clinical decision support system based on predictive modeling within dental preventive screening]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2024. Т. 24. № 2. С. 335-338.

Статья

Gorbatovski A., Kovalchuk S. Reinforcement Learning for Question Answering in Programming domain using Public Community Scoring as a Human Feedback. AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 2024. pp. 2294–2296.

Статья

Ireddy A.T., Kovalchuk S.V. Modelling Information Perceiving within Clinical Decision Support using Inverse Reinforcement Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. Vol. 14835. pp. 210–223.

Статья

Ковальчук С.В., Иредди А. Моделирование индивидуальных когнитивных состояний оператора в рамках взаимодействия человек-искусственный интеллект при работе с системами поддержки принятия решений в сложных предметных областях. X Международная конференция по когнитивной науке (Пятигорск, 26-30 июня 2024 г.) [тезисы докладов]. 2024. Т. Часть 1. С. 144-146.

Статья

Fedrushkov D.V., Kovalchuk S.V. ., Lomshakov V., Aliev A. Beam search for code generation improvement in answering programming questions with code. Communications in Computer and Information Science. 2024. pp. in press.

Статья

Li C., Petruchik O., Grishanina E., Kovalchuk S. Modelling of practice sharing in complex distributed healthcare system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. Vol. 14835. pp. 224-238.

Статья

Горбатовский А.В., Ковальчук С.В., Разин А.Д., Алиев А.А. Улучшение вопросно-ответных систем в области программирования с дообучением языковых моделей на структурированных разнородных данных онлайн-форумов. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2024. Т. 24. № 6. С. 1024-1034.

Статья

Pogrebnoi D., Funkner A., Kovalchuk S. RuMedSpellchecker: A new approach for advanced spelling error correction in Russian electronic health records. Journal of Computational Science. 2024. Vol. 82. pp. 102393.

Тезисы

Towards Modeling of Distributed Intelligence Systems in Modern Healthcare.Сборник тезисов докладов конгресса молодых ученых (XIII Всероссийский конгресс молодых ученых, 8-11апреля 2024г.) [электронное издание]

Статья

Rvanova L., Kovalchuk S. Automatic Structuring of Topics for Natural Language Generation in Community Question Answering in Programming Domain. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 14074. pp. 322–329.

Статья

Babikov I., Kovalchuk S., Soldatov I. Semi-supervised method for improving general-purpose and domain-specific textual corpora labels. Procedia Computer Science. 2023. Vol. 229. pp. 168-176.

Статья

Zhdanova E., Korneev I., Kovalchuk S. Predictive modeling of multistep clinical pathways: application to infertility treatment process. Procedia Computer Science. 2023. Vol. 229. pp. 272-283.

Статья

Kubryak O., Kovalchuk S.V., Bagdasaryan N.G. Assessment of Cognitive Behavioral Characteristics in Intelligent Systems with Predictive Ability and Computing Power. Philosophies. 2023. Vol. 8. No. 5. pp. 75.

Статья

Ireddy A.T., Kovalchuk S.V. An Experimental Outlook on Quality Metrics for Process Modelling: A Systematic Review and Meta Analysis. Algorithms. 2023. Vol. 16. No. 6. pp. 295.

Статья

Kopanitsa G., Metsker O., Kovalchuk S. Machine Learning Methods for Pregnancy and Childbirth Risk Management. Journal of Personalized Medicine. 2023. Vol. 13. No. 6. pp. 975.

Статья

Abuhay T., Robinson S., Mamuye A., Kovalchuk S.V. Machine learning integrated patient flow simulation: why and how?. Journal of Simulation. 2023. Vol. 17. No. 5. pp. 580-593.

Статья

Kovalchuk S., Fedrushkov D., Lomshakov V., Aliev A. Test-based and metric-based evaluation of code generation models for practical question answering. 2023 International Conference on Code Quality (ICCQ). 2023. pp. 73-86.

Статья

Kabyshev M.V., Kovalchuk S.V. Analysis and control of user engagement in personalized mobile assisting software for chronic disease patients. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Vol. 23. No. 2(144). pp. 331-339.

Статья

Elkhovskaya L.O., Kshenin A.D., Balakhontceva M.A., Ionov M.V., Kovalchuk S.V. Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes. Algorithms. 2023. Vol. 16. No. 1. pp. 57.

Тезисы

Рванова Л. (науч. рук. Ковальчук С.В.) Automatic Question Answering Using Topic Modeling in Programming Domain

Статья

Pogrebnoi D., Funkner A., Kovalchuk S. RuMedSpellchecker: Correcting Spelling Errors for Natural Russian Language in Electronic Health Records Using Machine Learning Techniques. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 10475. pp. 213-227.

Тезисы

Улучшение генеративных систем ответов на вопросы сообщества, в области программирования, основанные на обратной связи людей

Статья

Rvanova L., Kovalchuk S.V. Using regular expressions for thematic classification in the task of question answering. Сборник трудов XII Конгресса молодых ученых (Санкт-Петербург, 3-6 апреля 2023 г.). 2023. Vol. 4. No. 1. pp. 57-59.

Статья

Gorbatovski A., Kovalchuk S. Bayesian Networks for Named Entity Prediction in Programming Community Question Answering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 14074. pp. 282–289.

Статья

Isakov T., Kovalchuk S. Methodology of event extraction from unstructured medical texts on the example of the Russian language. Procedia Computer Science. 2023. Vol. 229. pp. 101-108.

Статья

Koshman V., Funkner A., Kovalchuk S. An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records. Journal of Personalized Medicine. 2022. Vol. 12. No. 1. pp. 25.

Статья

Ионов М.В., Болгова Е.В., Звартау Н.Э., Авдонина Н.Г., Балахонцева М.А., Ковальчук С.В., Конради А.О. Внедрение системы поддержки принятия решений для повышения качества медицинских данных пациентов с артериальной гипертензией [Implementation of a clinical decision support system to improve the medical data quality for hypertensive patients]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2022. Т. 22. № 1(137). С. 217-222.

Статья

Babikov I., Kovalchuk S., Soldatov I., Grebnev G. Structuring Research Directions in Medical Domain with Topic Modeling: Application for PhD Theses Synopses in Dentistry. Studies in health technology and informatics. 2022. Vol. 299. pp. 229-234.

Статья

Derevitskii I., Mramorov N.D., Usoltsev S., Kovalchuk S.V. Hybrid Bayesian Network-Based Modeling: COVID-19-Pneumonia Case. Journal of Personalized Medicine. 2022. Vol. 12. No. 8. pp. 1325.

Статья

Detkov N., Balabaeva K., Kovalchuk S.V. Exploring the Relationship Between Error and Interpretation of the Segmentation Model's Prediction. Procedia Computer Science. 2022. Vol. 212. pp. 122-131.

Статья

Funkner A.A., Yakovlev A., Kovalchuk S. Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: Application to evolutionary modeling of clinical pathways. Journal of Computational Science. 2022. Vol. 59. pp. 101562.

Статья

Kovalchuk S.V., Krzhizhanovskaya V.V., Paszynski M., Kranzlmuller D., Dongarra J., Sloot P. Computational science for a better future. Journal of Computational Science. 2022. Vol. 62. pp. 101745.

Статья

Kovalchuk S.V., Kopanitsa G.D., Derevitskii I., Matveev G.A., Savitskaya D.A. Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. Journal of Biomedical Informatics. 2022. Vol. 127. pp. 104013.

Статья

Balabaeva K., Kovalchuk S. Neural Additive Models for Explainable Heart Attack Prediction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2022. Vol. 13352. pp. 113-121.

Статья

Kopanitsa G., Kovalchuk S. Study of the User Behaviour Caused by Automatic Recommendation Systems Call to Action. Studies in health technology and informatics. 2022. Vol. 299. pp. 89-96.

Статья

Pavlovskii V., Derevitskii I., Kovalchuk S.V. Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy. Journal of Computational Science. 2022. Vol. 63. pp. 101772.

Статья

Funkner A.A., Egorov M., Fokin S.A., Orlov G., Kovalchuk S. Citywide quality of health information system through text mining of electronic health records. Applied Network Science. 2021. Vol. 6. No. 1. pp. 53.

Статья

Kopanitsa G.D., Metsker O., Bolgova E.V., Kovalchuk S. Lifestyle cancer survival predictors: Influence of vegetarian diet on the relapse of endometrial cancer. Studies in health technology and informatics. 2021. Vol. 285. pp. 193-198.

Статья

Ponomartseva D., Derevitckii I.V., Kovalchuk S., Babenko A. Prediction model for thyrotoxic atrial fibrillation: a retrospective study. BMC Endocrine Disorders. 2021. Vol. 21. No. 1. pp. 150.

Статья

Funkner A.A., Zhurman D., Kovalchuk S. Extraction of Temporal Structures for Clinical Events in Unlabeled Free-Text Electronic Health Records in Russian. Studies in health technology and informatics. 2021. Vol. 287. pp. 55-56.

Статья

Elkhovskaya L., Kovalchuk S. Feature Engineering with Process Mining Technique for Patient State Predictions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 584-592.

Статья

Derevitskii I., Savitskaya D.A., Babenko A.Y., Kovalchuk S.V. Hybrid predictive modelling: Thyrotoxic atrial fibrillation case. Journal of Computational Science. 2021. Vol. 51. pp. 101365.

Тезисы

Разработка системы мультиагентного имитационного моделирования бизнес-процессов в крупной компании

Тезисы

Методы и технологии масштабируемости алгоритмов интеллектуального анализа медицинских текстов

Статья

Nikolaeva K., Elkhovskaya L., Kovalchuk S. Patient measurements simulation and event processing in telemedicine systems. Procedia Computer Science. 2021. Vol. 193. pp. 122-130.

Статья

Koshman V., Funkner A.A., Kovalchuk S. An unsupervised approach to structuring and analyzing repetitive semantic structures in free text of electronic medical records. Studies in health technology and informatics. 2021. Vol. 285. pp. 94-99.

Статья

Kopanitsa G.D., Derevitckii I.V., Savitskaya D.A., Kovalchuk S. Assessing acceptance level of a hybrid clinical decision support systems. Studies in health technology and informatics. 2021. Vol. 287. pp. 18-22.

Статья

Balabaeva K.Y., Kovalchuk S. Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 623-633.

Статья

Mramorov N., Derevitskii I., Kovalchuk S. Predictive modeling of COVID and nonCOVID pneumonia trajectories. Studies in health technology and informatics. 2021. Vol. 285. pp. 112-117.

Статья

Abuhay T.M., Robinson S., Mamuye A., Kovalchuk S.V. Why machine learning integrated patient flow simulation?. 10th Operational Research Society Simulation Workshop, SW 2021. 2021. pp. 375-384.

Статья

Milykh S., Kovalchuk S. Treatment trajectories graph compression algorithm based on cliques. Studies in health technology and informatics. 2021. Vol. 285. pp. 300-305.

Статья

Kshenin A.D., Kovalchuk S. Data-driven modeling of complex business process in heterogeneous environment of healthcare organization with health information systems. Studies in health technology and informatics. 2021. Vol. 285. pp. 118-123.

Статья

Pavlovskii V., Derevitckii I.V., Kovalchuk S. Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 479-793.

Статья

Balabaeva K.Y., Kovalchuk S.V. Clustering Results Interpretation of Continuous Variables Using Bayesian Inference. Studies in health technology and informatics. 2021. Vol. 281. pp. 477-481.

Статья

Kanonirov A., Balabaeva K.Y., Kovalchuk S. Statistical inference for clustering results interpretation in clinical practice. Studies in health technology and informatics. 2021. Vol. 285. pp. 100-105.

Статья

Kovalchuk S.V., Krzhizhanovskaya V.V. ., Paszynski M., Zavodszky G., Lees M.H., Dongarra J., Sloot P. 20 years of computational science: Selected papers from 2020 International Conference on Computational Science. Journal of Computational Science. 2021. Vol. 53. pp. 101395.

Статья

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

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. EAGE/AAPG Digital Subsurface for Asia Pacific Conference 2020. 2020. pp. 1-5.

Тезисы

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

Тезисы

Обработка медицинских текстов на естественном языке

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.

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., 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.

Статья

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.

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.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.

Статья

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.

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.

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

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

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

Balabaeva K.Y., 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

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

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

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.

Тезисы

Семантический анализ корпусов текстов с помощью методов тематического моделирования

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

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

Derevitskii I., Funkner A., Kovalchuk S., Metsker O. 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

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

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

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

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

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

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 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS). 2019. pp. 284-287.

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

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 LNCS. pp. 674-680.

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

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

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

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

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

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

Балахонцева М.А., Ковальчук С.В., Ховричев М.А., Кисляковский И.О. Интеллектуальная интеграция разнородных источников данных в задачах медицины и здравоохранения. Международная конференция по мягким вычислениям и измерениям. 2018. Т. 2. С. 31-33.

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

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

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

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

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

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

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

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., 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 [Medicina Katastrof]. 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

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

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

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 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.

Учебник, учебное пособие

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

Тезисы

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

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 [Medico-Biological and Socio-Psychological Issues of Safety in Emergency Situations]. 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

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

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

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

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.

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. 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

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

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

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

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.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

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

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. 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

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

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

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

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

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

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

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

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

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

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

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

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.

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.

Тезисы

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

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. ., 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

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

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

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

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

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

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

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., 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

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., 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

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

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

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

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

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

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

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.

Статья

Ковальчук С.В., Бухановский А.В. Параллельная производительность стохастических алгоритмов. Известия высших учебных заведений. Приборостроение. 2008. Т. 51. № 12. С. 5-12.