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Nataliia Melnykova
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2020 – today
- 2023
- [j3]Natalya Shakhovska, Nataliia Melnykova, Petro Pobereiko, Maryana Zakharchuk:
Investigating Methods of Searching for Key Frames in Video Flow with the Use of Neural Networks for Search Systems. Int. J. Comput. 22(4): 455-461 (2023) - [c25]Oleh Basystiuk, Nataliia Melnykova, Zoriana Rybchak:
Multimodal Learning Analytics: An Overview of the Data Collection Methodology. CSIT 2023: 1-4 - [c24]Mariia Nykoniuk, Nataliia Melnykova, Yurii Patereha, Dariusz Sala, Dariusz Cichon:
Classification of Patients with the Development of Alzheimer's Disease using an Ensemble of Machne Learning Models. IDDM 2023: 198-216 - [c23]Oleh Basystiuk, Nataliia Melnykova:
Multimodal Medical Data Learning Approaches for Digital Healthcare. IDDM 2023: 332-337 - [c22]Oleh Basystiuk, Nataliia Melnykova, Zoriana Rybchak:
Machine Learning Methods and Tools for Facial Recognition Based on Multimodal Approach. MoMLeT+DS 2023: 161-170 - 2022
- [c21]Natalya Shakhovska, Nataliia Melnykova:
Feature Engineering and Missing Data Imputation Method of Medical Data Analysis. CMIS 2022: 48-57 - [c20]Oleh Basystiuk, Nataliia Melnykova:
Multimodal Approaches for Natural Language Processing in Medical Data. IDDM 2022: 246-252 - 2021
- [j2]Nataliia Melnykova
, Nataliya Shakhovska
Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor. Big Data Cogn. Comput. 5(3): 37 (2021) - [j1]Nataliya Shakhovska
The Hierarchical Classifier for COVID-19 Resistance Evaluation. Data 6(1): 6 (2021) - [c19]Nataliia Melnykova:
A Novel Approach for the Automatic Detection of COVID in a Patient by Using a Categorization Methods. EUSPN/ICTH 2021: 712-717 - [c18]Nataliia Melnykova, Roman Kulievych, Yaroslav Vycluk, Kateryna Melnykova, Volodymyr Melnykov:
Anomalies Detecting in Medical Metrics Using Machine Learning Tools. EUSPN/ICTH 2021: 718-723 - 2020
- [c17]Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Mariana Zakharchuk, Mykola Logoyda, Vitalii Mahlovanyi
The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions. ACIT 2020: 422-425 - [c16]Nataliia Melnykova, Volodymyr Melnykov, Nataliya Shahovska, Natalia Lysa:
The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States. CSIT (1) 2020: 70-75 - [c15]Nataliya Shakhovska
The Novel Approach to Modeling the Spread of Viral Infections. CSIT 2020: 240-250 - [c14]Nataliia Melnykova, Natalya Shakhovska, Volodymyr Melnykov, Mykola Logoyda, Yulia Peleshchak:
The Problem of Analysing the Relationships between Individual Characteristics of Individuals with COVID'19. IDDM 2020: 473-482 - [e1]Nataliya Shakhovska, Jaime Campos, Nataliia Melnykova, Ivan Izonin:
Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19 - 21, 2020. CEUR Workshop Proceedings 2753, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [c13]Roman Kaminskyi
Calculation of the Exact Value of the Fractal Dimension in the Time Series for the Box-Counting Method. ACIT 2019: 248-251 - [c12]Solomiia Fedushko, Yuriy Syerov, Oleksandra Tesak, Oksana Onyshchuk, Nataliia Melnykova:
Advisory and Accounting Tool for Safe and Economically Optimal Choice of Online Self-Education Services. CMiGIN 2019: 290-300 - [c11]Nataliia Melnykova, Mykola Buchyn
The Special Ways for Processing Personalized Data During Voting in Elections. CSIT 2019: 781-791 - [c10]Mykola Logoyda, Nataliia Melnykova, Bohdana Havrysh, Michal Gregus, Zdzislaw Szymanski:
Determination of Characteristics Discrete Transfiguration for Synthesized Raster Elements of Non-regular Structure. DCSMart 2019: 249-258 - [c9]Natalia Lotoshynska, Anatoliy Kovalchuk, Ludmila Mayik, Volodymyr Mayik, Christine Strauss, Nataliia Melnykova:
Technologies of 3D-prototyping of Objects. DCSMart 2019: 271-281 - [c8]Natalia Shakhovska, Solomia Fedushko
Big Data analysis in development of personalized medical system. EUSPN/ICTH 2019: 229-234 - 2018
- [c7]Nataliia Melnykova, Uliana Marikutsa
The New Approaches of Heterogeneous Data Consolidation. CSIT (1) 2018: 408-411 - [c6]Nataliia Melnykova, Pavlo Mukalov, Dmytro Kozii:
The Special Ways of Application of Neural Networks for Medical Information Processing. CSIT (1) 2018: 428-431 - [c5]Yurii Kryvenchuk
Smart Integrated Robotics System for SMEs Controlled by Internet of Things Based on Dynamic Manufacturing Processes. CSIT 2018: 535-549 - [c4]Nataliia Melnykova, Volodymyr Melnykov, Edgars Vasilevskis:
The Personalized Approach to the Processing and Analysis of Patients' Medical Data. IDDM 2018: 103-112 - 2017
- [c3]Nataliya Melnykova:
The basic approaches to automation of management by enterprise finances. CSIT (1) 2017: 288-291 - [c2]Nataliia Melnykova
Semantic Search Personalized Data as Special Method of Processing Medical Information. CSIT 2017: 315-325 - 2016
- [c1]Nataliya Melnykova, Oksana Markiv
Semantic approach to personalization of medical data. CSIT 2016: 59-61
Coauthor Index
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