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Tetyana Chumachenko
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2020 – today
- 2024
- [c15]Vadym Yevtushenko, Kyrylo Rukkas, Tetyana Chumachenko:
Development of Intelligent Nutrition Surveillance System with OpenAI API. ProfIT AI 2024: 348-360 - 2023
- [j2]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): 221 (2023) - [c14]Dmytro Chumachenko, Tetyana Chumachenko:
The Framework of Estimation of the Impact of the Russian War on the Infectious Diseases Spreading. COLINS (3) 2023: 1-11 - [c13]Andrii Hrimov, Yurii Parfeniuk, Maryna Railian, Oleksandr Popov, Tetyana Chumachenko:
Intelligent Expert System for Detection of Healthcare- Associated Infections. ProfIT AI 2023: 261-269 - 2022
- [j1]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): 86 (2022) - [c12]Ievgen Meniailov, Serhii Krivtsov, Tetyana Chumachenko:
Dimensionality Reduction of Data on Patients with Diabetes Mellitus by Multidimensional Scaling. IDDM 2022: 184-191 - [c11]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: 503-514 - [c10]Tetyana Chumachenko, Kseniia Bazilevych:
Dimensionality Reduction of Chronic Kidney Disease Data using Principal Components Analysis. ProfIT AI 2022: 110-115 - 2021
- [c9]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: 706-711 - [c8]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: 109-115 - [c7]Alireza Mohammadi, Tetyana Chumachenko, Lyubov Makhota, Dmytro Chumachenko:
Compartment Model of COVID-19 Epidemic Process in Ukraine. IT&AS 2021: 100-109 - [c6]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: 55-64 - 2020
- [c5]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 (Selected Papers) 2020: 372-382 - [c4]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: 265-274
2010 – 2019
- 2019
- [c3]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: 42-45 - [c2]Dmytro Chumachenko, Tetyana Chumachenko:
Intelligent Agent-Based Simulation of HIV Epidemic Process. ISDMCI 2019: 175-188 - [c1]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: 321-330
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last updated on 2024-10-25 21:13 CEST by the dblp team
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