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Kseniia Bazilevych
Person information
- affiliation: National Aerospace University "Kharkiv Aviation Institute", Ukraine
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2020 – today
- 2023
- [c13]Oleksii Khlystun, Kseniia Bazilevych:
Comparative Analysis of the Machine Learning Dimensionality Reduction Methods on the Example of Fetal Health Determination. ProfIT AI 2023: 140-151 - [c12]Mykola Butkevych, Kseniia Bazilevych, Iryna Trofymova:
Classification of Patients with Suspected Coronary Artery Disease Based on Locally Weighted Least Squares Method. ProfIT AI 2023: 233-239 - 2022
- [j2]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) - [c11]Kseniia Bazilevych, Mykola Butkevych, Nataliia Dotsenko:
Cardiac Studies Diagnostic Data Informative Features Investigation based on Cumulative Frequency Analysis. ProfIT AI 2022: 84-89 - [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]Tetiana Dudkina, Ievgen Meniailov, Kseniia Bazilevych, Serhii Krivtsov, Anton Tkachenko:
Classification and Prediction of Diabetes Disease using Decision Tree Method. IT&AS 2021: 163-172 - [c7]Olga Skitsan, Ievgen Meniailov, Kseniia Bazilevych, Halyna Padalko:
Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method. MoMLeT+DS 2021: 186-195 - [c6]Kseniia Bazilevych, Serhii Krivtsov, Mykola Butkevych:
Intelligent Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using Shannon Method. ProfIT AI 2021: 65-75 - 2020
- [c5]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: 333-336 - [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]Kseniia Bazilevych, Ievgen Meniailov, Kirill Fedulov, Sergey Goranina, Dmytro Chumachenko, Pavlo Pyrohov:
Determining the Probability of Heart Disease using Data Mining Methods. IDDM 2019: 383-394 - [c1]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: 107-116 - 2018
- [j1]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: 153-162 (2018)
Coauthor Index
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last updated on 2024-07-25 19:29 CEST by the dblp team
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