Dmytro Chumachenko

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Gradient Boosting

Information Technology

Top Venues

Publications

Dmytro Chumachenko, Sergiy Yakovlev
Artificial Intelligence Algorithms for Healthcare. Algorithms 17 (3) (2024)
Kang Wang, Moojan Ghafurian, Dmytro Chumachenko, Shi Cao, Zahid A. Butt, Shahan Salim, Shahabeddin Abhari, Plinio P. Morita
Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices - A scoping review. Comput. Biol. Medicine 173 (2024)
Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko
A novel approach to fake news classification using LSTM-based deep learning models. Frontiers Big Data 6 (2024)
Dmytro Chumachenko, Tetyana Chumachenko
The Framework of Estimation of the Impact of the Russian War on the Infectious Diseases Spreading. COLINS (3) (2023)
Dmytro Chumachenko, Tetiana Dudkina, Tetyana Chumachenko, Plinio Pelegrini Morita
Epidemiological Implications of War: Machine Learning Estimations of the Russian Invasion's Effect on Italy's COVID-19 Dynamics. Comput. 11 (11) (2023)
Dmytro Chumachenko, Vasyl Chomko, Ievgen Meniailov, Serhii Krivtsov, Halyna Padalko
Estimation of Ukrainian Refugees Impact on COVID-19 Dynamics in Czech Republic using Prophet Model. ProfIT AI (2023)
Dmytro Chumachenko, Vasyl Chomko, Ievgen Meniailov, Serhii Krivtsov, Halyna Padalko
A Data-Driven Simulation of Ukrainian Refugee Flows Impact on COVID-19 Dynamics in the UK. IDDM (2023)
Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko
COVID-19 Misinformation Detection on Weibo by Support Vector Classifier. DESSERT (2023)
Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko
Misinformation Detection in Political News using BERT Model. ProfIT AI (2023)
Dmytro Chumachenko, Tetyana Chumachenko, Ievgen Meniailov, Olena Muradyan, Grigoriy Zholtkevych
Forecasting of COVID-19 Epidemic Process in Ukraine and Neighboring Countries by Gradient Boosting Method. ITEST (2022)
Dmytro Chumachenko, Ievgen Meniailov, Kseniia Bazilevych, Tetyana Chumachenko, Sergey Yakovlev
Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting. Comput. 10 (6) (2022)
Dmytro Chumachenko, Pavlo Pyrohov, Sergiy Yakovlev
Impact of Migration on COVID-19 Epidemic Process in Romania: a Simulation Study. CSIT (2022)
Dmytro Chumachenko, Pavlo Pyrohov, Lyubov Makhota
Simulation of Impact of Migration Caused by the War in Ukraine on COVID-19 Epidemic Process in Moldova. ProfIT AI (2022)
Dmytro Chumachenko, Mykola Butkevych, Daniel Lode, Marcus Frohme, Kurt J. G. Schmailzl, Alina S. Nechyporenko
Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. Sensors 22 (18) (2022)
Dmytro Chumachenko, Alina S. Nechyporenko, Marcus Frohme
Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. IDDM (2022)
Nataliya Dotsenko, Dmytro Chumachenko, Igor Chumachenko
Formation of a project team using an intelligent logic-combinatorial approach. CSIT (2) (2021)
Dmytro Boyko, Dmytro Chumachenko, Tetyana Chumachenko, Sergey Lvov, Artem Lytovchenko, Olena Muradyan, Grygoriy Zholtkevych
The Concept of Decisions Support System to Mitigate the COVID-19 Pandemic Consequences based on Social and Epidemic Processes Intelligent Analysis. ProfIT AI (2021)
Nataliia Dotsenko, Dmytro Chumachenko, Yuliia Husieva, Iryna Kadykova, Igor Chumachenko
Intelligent Information Technology for Providing Human Resources to Projects in a Multi-Project Environment (keynote). IntelITSIS (2021)
Darina Kapusta, Alireza Mohammadi, Dmytro Chumachenko
Machine Learning Approach to COVID-19 Epidemic Process Simulation using Polynomial Regression Model. ProfIT AI (2021)
Alireza Mohammadi, Tetyana Chumachenko, Lyubov Makhota, Dmytro Chumachenko
Compartment Model of COVID-19 Epidemic Process in Ukraine. IT&AS (2021)
Dmytro Chumachenko, Ievgen Meniailov, Kseniia Bazilevych, Tetyana Chumachenko, Sergiy Yakovlev
On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine. EUSPN/ICTH (2021)
Vil Bakirov, Dmytro Chumachenko, Tetyana Chumachenko, Sergey Lvov, Olena Muradyan, Grygoriy Zholtkevych
Toward Reference Architecture of Control System Socio-Epidemic Processes of Emergent Infections. IDDM (2021)
Dmytro Chumachenko, Sergey Yakovlev
Intelligent System of Epidemic Situation Monitoring and Control. COLINS (2021)
Darina Kapusta, Serhii Krivtsov, Dmytro Chumachenko
Holt's Linear Model of COVID-19 Morbidity Forecasting in Ukraine. MoMLeT+DS (2021)
Ievgen Meniailov, Dmytro Chumachenko, Kseniia Bazilevych
Determination of Heart Disease Based on Analysis of Patient Statistics using the Fuzzy C-means Clustering Algorithm. DSMP (2020)
Arina Herasymova, Dmytro Chumachenko, Halyna Padalko
Development of Intelligent Information Technology of Computer Processing of Pedagogical Tests Open Tasks Based on Machine Learning Approach. MoMLeT+DS (2020)
Dmytro Chumachenko, Oleksandr Sokolov, Sergiy Yakovlev
Fuzzy Recurrent mappings in Multiagent simulation of Population dynamics Systems. Int. J. Comput. 19 (2020)
Sergiy Yakovlev, Kseniia Bazilevych, Dmytro Chumachenko, Tetyana Chumachenko, Leonid Hulianytskyi, Ievgen Meniailov, Anton Tkachenko
The Concept of Developing a Decision Support System for the Epidemic Morbidity Control. IDDM (2020)
Dmytro Chumachenko, Tetyana Chumachenko, Ievgen Meniailov, Pavlo Pyrohov, Ihor Kuzin, Roman Rodyna
On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach. DSMP (2020)
Dmytro Chumachenko, Victor Balitskii, Tetyana Chumachenko, Victoria Makarova, Maryna Railian
Intelligent Expert System of Knowledge Examination of Medical Staff Regarding Infections Associated with the Provision of Medical Care. MoMLeT (2019)
Kseniia Bazilevych, Ievgen Meniailov, Kirill Fedulov, Sergey Goranina, Dmytro Chumachenko, Pavlo Pyrohov
Determining the Probability of Heart Disease using Data Mining Methods. IDDM (2019)
Nataliia Dotsenko, Dmytro Chumachenko, Igor Chumachenko
Management of Critical Competencies in a Multi-Project Environment. ICTERI (2019)
Ievgen Meniailov, Kseniia Bazilevych, Kirill Fedulov, Sergey Goranina, Dmytro Chumachenko
Using the K-means Method for Diagnosing Cancer Stage Using the Pandas Library. MoMLeT (2019)
Dmytro Chumachenko, Ievgen Meniailov, Kseniia Bazilevych, Yuliia Kuznetsova, Tetyana Chumachenko
Development of an intelligent agent-based model of the epidemic process of syphilis. CSIT (1) (2019)
Nataliia Dotsenko, Dmytro Chumachenko, Igor Chumachenko
Project-Oriented Management of Adaptive Commands Formation Resources in Multi-Project Environment. CMIS (2019)
Dmytro Chumachenko, Tetyana Chumachenko
Intelligent Agent-Based Simulation of HIV Epidemic Process. ISDMCI (2019)
Nataliia Dotsenko, Dmytro Chumachenko, Igor Chumachenko
Modeling of the process of critical competencies management in the multi-project environment. CSIT (3) (2019)
Mariia Mazorchuk, Viktoriia Dobriak, Dmytro Chumachenko
Web-Application Development for Tasks of Prediction in Medical Domain. CSIT (1) (2018)
Dmytro Chumachenko
On Intelligent Multiagent Approach to Viral Hepatitis B Epidemic Processes Simulation. DSMP (2018)
Kseniia Bazilevych, Mary Mazorchuk, Yurii Parfeniuk, Viktoriia Dobriak, Ievgen Meniailov, Dmytro Chumachenko
Stochastic modelling of Cash Flow for Personal Insurance fund using the Cloud Data Storage. Int. J. Comput. 17 (2018)