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ORCIDNataliya Boyko
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Journal Articles
- 2023
[j2]Nataliya Boyko
:
Application of Adaptive and Multiplicative Models for Analysis and Forecasting of Time Series. Int. J. Comput. 22(2): 202-211 (2023)- 2021
- [j1]Nataliya Boyko, Andriy Pytel:
Aspects of the Study of Genetic Algorithms and Mechanisms for their Optimization for the Travelling Salesman Problem. Int. J. Comput. 20(4): 543-550 (2021)
Conference and Workshop Papers
- 2024
- [c57]Nataliya Boyko, Petro Telishevskyi, Sotirios Argyroudis:
Research and Development of Image Processing Algorithms for Effective Recognition of Various Gestures in Real Time. SMARTINDUSTRY 2024: 57-69 - 2023
- [c56]Nataliya Boyko, Levon Arutiunov:
Comparison of Image Deraining Methods Using Deep Learning. CSIT 2023: 1-4 - [c55]Nataliya Boyko, Viktor Zhakhalov:
Methods of Organization and Navigation of Big Data in Multimedia Content. CSIT 2023: 1-5 - [c54]Nataliya Boyko, Iryna Dosiak:
Enhanced Classification Models for Heart Disease Prediction in Precision Medicine. IDDM 2023: 265-278 - [c53]Nataliya Boyko, Oleksandra Dypko:
Categorizing False Information in News Content Using an Ensemble Machine Learning Model. SCIA 2023: 68-80 - 2022
- [c52]Nataliya Boyko, Roman Omeliukh, Nataliia Duliaba:
The Random Forest Algorithm as an Element of Statistical Learning for Disease Prediction. CITRisk 2022: 59-73 - [c51]Nataliya Boyko, Vladyslav Mykhailyshyn:
Model of Finding Associative Rules in Inhomogeneous Data of Semantic Networks. CMIS 2022: 58-67 - [c50]Nataliya Boyko, Oleksandr Tkachyk:
Model for Finding Frequent Sets in FP-growth for Multimodal Data. CMIS 2022: 126-143 - [c49]Nataliya Boyko, Iryna Khomyshyn, Natalia Ortynska, Viktoria Terletska, Oksana Bilyk, Oleksandra Hasko:
Analysis of the Application of Stochastic Gradient Descent to Detect Network Violations. COLINS 2022: 1181-1190 - [c48]Nataliya Boyko, Yuliia Kholodetska:
Using Artificial Intelligence Algorithms in Advertising. CSIT 2022: 317-321 - [c47]Nataliya Boyko, Vladyslav Mykhailyshyn:
Methods of Searching for Associative Rules for Inhomogeneous Data in Semantic Networks. IntelITSIS 2022: 54-71 - [c46]Nataliya Boyko, Oleksandr Tkachyk:
Frequency pattern growth algorithm (FP) for multimodal data extraction. IntelITSIS 2022: 72-82 - [c45]Nataliya Boyko:
The Comprehensive Model of Using In-Depth Consolidated Multimodal Learning to Study Trading Strategies in the Securities Market. ISDMCI 2022: 126-147 - [c44]Nataliya Boyko, Yaroslav Rohan, Svitlana Honchar:
Model of Estimation of Distribution Density for Large Statistical Datasets. MoMLeT+DS 2022: 176-188 - 2021
- [c43]Nataliya Boyko, Anastasiia Hrynyshyn:
Using recurrent neural network to noise absorption from audio files. CITRisk 2021: 208-226 - [c42]Nataliya Boyko, Mariia Rizhko:
Application of semantic segmentation of clouds of points for preservation of cultural heritage. CITRisk 2021: 227-240 - [c41]Nataliya Boyko, Andriy Pytel:
Application of Genetic Algorithms for Optimization of Salesman's Tasks and Their Modeling by Sequential Selection. COLINS 2021: 969-981 - [c40]Nataliya Boyko, Rostyslav Hlynka:
Application of Machine Algorithms for Classification and Formation of the Optimal Plan. COLINS 2021: 1853-1865 - [c39]Nataliya Boyko, Solomiya Hetman, Iryna Kots:
Comparison of Clustering Algorithms for Revenue and Cost Analysis. COLINS 2021: 1866-1877 - [c38]Nataliya Boyko, Petro Telishevskyi, Beata Kushka:
Analysis of Recommendation System Methods for Accuracy of Predicted Estimates. COLINS 2021: 1878-1888 - [c37]Nataliya Boyko, Yaroslav Hladun:
Histogram Filter for Robot Localization. CSIT (1) 2021: 38-43 - [c36]Nataliya Boyko, Yaroslav Zhyhaylo:
Comparison of Algorithms of Associative Rules Search Apriori and Fp-Growth for Investigation of Time Dependence of Their Execution on Database Parameters. CSIT (1) 2021: 44-51 - [c35]Nataliya Boyko, Iryna Dosiak:
Analysis of Machine Learning Algorithms for Classification and Prediction of Heart Disease. IDDM 2021: 233-249 - [c34]Nataliya Boyko, Khrystyna Kmetyk-Podubinska, Iryna Andrusiak:
Application of Ensemble Methods of Strengthening in Search of Legal Information. ISDMCI 2021: 188-200 - [c33]Nataliya Boyko, Lyubov Zalizn, Anna Starukh, Yurii Kryvenchuk, Yuriy Malynovskyy:
Methods of Solving the Problems of the Seller in Order to Find the Optimal Solution for Economic and Legal Problems on the Internet for Export-Oriented Products. IT&AS 2021: 51-64 - [c32]Nataliya Boyko, Oksana Yurynets, Iryna Shevchuk, Yurii Kryvenchuk, Tetiana Helzhynska:
Optimization of Algorithms for Selecting Urgent Factors That Affect the Cost of Legal Real Estate Lease. IT&AS 2021: 140-151 - [c31]Nataliya Boyko, Mariia Yatskiv:
Human Operator Stress Assessment System. MoMLeT+DS 2021: 300-309 - [c30]Nataliya Boyko, Olena Moroz:
Comparative Analysis of Regression Regularization Methods for Life Expectancy Prediction. MoMLeT+DS 2021: 310-326 - [c29]Tetiana Bilushchak, Viktoriia Dobrovolska, Iryna Ivanochko, Nataliya Boyko:
The Use of Information and Communication Technologies as a Means of Analyzing Public Interest in Historical Events in Wikipedia Regarding Documenting the Social and Cultural Sphere. ProfIT AI 2021: 43-54 - 2020
- [c28]Lesia I. Mochurad, Nataliya Boyko, Vasyl Sheketa:
Parallelization of the Method of Simulated Annealing when Solving Multicriteria Optimization Problems. COAPSN 2020: 12-24 - [c27]Lesia I. Mochurad, Nataliya Boyko, Vasyl Sheketa:
Parallelization of the Process of Calculating the Optimal Route for a Strike Aircraft Flight. COAPSN 2020: 63-75 - [c26]Lesia I. Mochurad, Nataliya Boyko, Nataliia Petryshyn, Myroslava Potokij, Mariia Yatskiv:
Parallelization of the Simplex Method Based on the OpenMP Technology. COLINS 2020: 936-951 - [c25]Lesia I. Mochurad, Nataliya Boyko, Maryana Bortnikova:
Parallel Approach of the Algorithm of Finding the Optimal Solution of the Transport Problem by the Method of Potentials. COLINS 2020: 952-963 - [c24]Nataliya Boyko, Lesia I. Mochurad, Iryna Stetsiv, Yurii Kryvenchuk:
Modeling of the Information System for Processing of a Large Distilled Data for the Investigation of Competitiveness of Enterprises. COLINS 2020: 964-978 - [c23]Nataliya Boyko, Karina Boksho:
Application of the Naive Bayesian Classifier in Work on Sentimental Analysis of Medical Data. IDDM 2020: 230-239 - [c22]Nataliya Boyko, Bohdan Mandych:
Technologies of Object Recognition in Space for Visually Impaired People. IDDM 2020: 338-347 - [c21]Nataliya Boyko, Nazar Tkachuk:
Processing of Medical Different Types of Data Using Hadoop and Java MapReduce. IDDM 2020: 405-414 - 2019
- [c20]Lesia I. Mochurad, Nataliya Boyko, Natalia Stanasiuk:
Forecasting Stock Prices and Accounting for Stock Market on Multicore Computers. CMiGIN 2019: 276-289 - [c19]Nataliya Boyko, Hanna Komarnytska, Yurii Kryvenchuk, Yuriy Malynovskyy:
Clustering Algorithms for Economic and Psychological Analysis of Human Behavior. CMiGIN 2019: 614-626 - [c18]Nataliya Boyko, Volodymyr Solohub, Andrii Stasiuk:
System Of Restriction Access With The Help Of NodeMCU And RFID Module. CSIT (1) 2019: 50-55 - [c17]Nataliia Kunanets, Ostap Vasiuta, Nataliya Boyko:
Advanced Technologies of Big Data Research in Distributed Information Systems. CSIT (3) 2019: 71-76 - [c16]Lesia I. Mochurad, Nataliya Boyko:
Solving Systems of Nonlinear Equations on Multi-core Processors. CSIT 2019: 90-106 - [c15]Nataliya Boyko, Lesia I. Mochurad, Uliana Parpan, Oleh Basystiuk:
Usage of Machine-based Translation Methods for Analyzing Open Data in Legal Cases. CybHyg 2019: 328-338 - [c14]Nataliya Boyko, Lesia I. Mochurad, Oksana Chervinska:
Cost-Effective Use of Mathematical Methods for the Organization and Management of Data in the Cloud. CybHyg 2019: 444-457 - [c13]Nataliya Boyko, Lesia I. Mochurad, Iryna Andrusiak, Yurii Drevnytskyi:
Organizational and Legal Aspects of Managing the Process of Recognition of Objects in the Image. CybHyg 2019: 571-592 - [c12]Nataliya Boyko, Khrystyna Shakhovska, Lesia I. Mochurad, Jaime Campos:
Information System of Catering Selection by Using Clustering Analysis. DCSMart 2019: 94-106 - [c11]Nataliya Shakhovska, Nataliya Boyko, Yevgen Zasoba, Eleonora Benova:
Big Data Processing Technologies in Distributed Information Systems. EUSPN/ICTH 2019: 561-566 - [c10]Nataliya Boyko, Olena Pylypiv, Yulia Peleshchak, Yurii Kryvenchuk, Jaime Campos:
Automated Document Analysis for Quick Personal Health Record Creation. IDDM 2019: 208-221 - [c9]Yurii Kryvenchuk, Ihor Helzynskyy, Tetiana Helzhynska, Nataliya Boyko, Roman Danel:
Synthesis Control System Physiological State of a Soldier on the Battlefield ". IDDM 2019: 297-306 - [c8]Nataliya Boyko, Maxim Kuba, Lesia I. Mochurad, Sergio Montenegro:
Fractal Distribution of Medical Data in Neural Network. IDDM 2019: 307-318 - [c7]Nataliya Boyko, Andriy Bronetskyi, Nataliya Shakhovska:
Application of Artificial Intelligence Algorithms for Image Processing. MoMLeT 2019: 194-211 - 2018
- [c6]Nataliya Boyko, Nataliya Shakhovska:
Prospects for Using Cloud Data Warehouses in Information Systems. CSIT (2) 2018: 136-139 - [c5]Nataliya Shakhovska, Nataliya Boyko, Petro Pukach:
The Information Model of Cloud Data Warehouses. CSIT 2018: 182-191 - [c4]Nataliya Boyko, Oleg Basystiuk, Nataliya Shakhovska:
Performance Evaluation and Comparison of Software for Face Recognition, Based on Dlib and Opencv Library. DSMP 2018: 478-482 - [c3]Nataliya Boyko, Volodymyr Korkishko, Bohdan Dohnyak, Olena Vovk:
Use of Neural Networks in Q-Learning Algorithm. ISCIS 2018: 188-195 - [c2]Nataliya Boyko, Tetyana Sviridova, Nataliya Shakhovska:
Use of machine learning in the forecast of clinical consequences of cancer diseases. MECO 2018: 1-6 - 2016
- [c1]Nataliya Boyko:
A look trough methods of intellectual data analysis and their applying in informational systems. CSIT 2016: 183-185
Coauthor Index
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