Semantic approach to personalization of medical data. - Nataliya Melnykova; Oksana Markiv (CSIT, 2016)

Semantic Search Personalized Data as Special Method of Processing Medical Information. - Nataliia Melnykova (CSIT, 2017)

The basic approaches to automation of management by enterprise finances. - Nataliya Melnykova (CSIT (1), 2017)

Smart Integrated Robotics System for SMEs Controlled by Internet of Things Based on Dynamic Manufacturing Processes. - Yurii Kryvenchuk; Nataliya Shakhovska; Nataliia Melnykova; Roman Holoshchuk (CSIT, 2018)

The New Approaches of Heterogeneous Data Consolidation. - Nataliia Melnykova; Uliana Marikutsa; Yurii Kryvenchuk (CSIT (1), 2018)

The Special Ways of Application of Neural Networks for Medical Information Processing. - Nataliia Melnykova; Pavlo Mukalov; Dmytro Kozii (CSIT (1), 2018)

The Personalized Approach to the Processing and Analysis of Patients' Medical Data. - Nataliia Melnykova; Volodymyr Melnykov; Edgars Vasilevskis (IDDM, 2018)

Calculation of the Exact Value of the Fractal Dimension in the Time Series for the Box-Counting Method. - Roman Kaminskyi; Lesia I. Mochurad; Nataliya Shakhovska; Nataliya Melnykova (ACIT, 2019)

Advisory and Accounting Tool for Safe and Economically Optimal Choice of Online Self-Education Services. - Solomiia Fedushko; Yuriy Syerov; Oleksandra Tesak; Oksana Onyshchuk; Nataliia Melnykova (CMiGIN, 2019)

The Special Ways for Processing Personalized Data During Voting in Elections. - Nataliia Melnykova; Mykola Buchyn; Solomiia Albota; Solomia Fedushko; Swietlana Kashuba (CSIT, 2019)

Determination of Characteristics Discrete Transfiguration for Synthesized Raster Elements of Non-regular Structure. - Mykola Logoyda; Nataliia Melnykova; Bohdana Havrysh; Michal Gregus; Zdzislaw Szymanski (DCSMart, 2019)

Technologies of 3D-prototyping of Objects. - Natalia Lotoshynska; Anatoliy Kovalchuk; Ludmila Mayik; Volodymyr Mayik; Christine Strauss; Nataliia Melnykova (DCSMart, 2019)

Big Data analysis in development of personalized medical system. - Natalia Shakhovska; Solomia Fedushko; Michal Gregus; Nataliia Melnykova; Iryna Shvorob; Yuriy Syerov (EUSPN/ICTH, 2019)

The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions. - Nataliia Melnykova; Nataliya Shakhovska; Volodymyr Melnykov; Mariana Zakharchuk; Mykola Logoyda; Vitalii Mahlovanyi (ACIT, 2020)

The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States. - Nataliia Melnykova; Volodymyr Melnykov; Nataliya Shahovska; Natalia Lysa (CSIT (1), 2020)

The Novel Approach to Modeling the Spread of Viral Infections. - Nataliya Shakhovska; Nataliia Melnykova; Volodymyr Melnykov; Vitaly Mahlovanyj; Nataliya Hrabovska (CSIT, 2020)

The Problem of Analysing the Relationships between Individual Characteristics of Individuals with COVID'19. - Nataliia Melnykova; Natalya Shakhovska; Volodymyr Melnykov; Mykola Logoyda; Yulia Peleshchak (IDDM, 2020)

A Novel Approach for the Automatic Detection of COVID in a Patient by Using a Categorization Methods. - Nataliia Melnykova (EUSPN/ICTH, 2021)

Anomalies Detecting in Medical Metrics Using Machine Learning Tools. - Nataliia Melnykova; Roman Kulievych; Yaroslav Vycluk; Kateryna Melnykova; Volodymyr Melnykov (EUSPN/ICTH, 2021)

Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor. - Nataliia Melnykova; Nataliya Shakhovska; Volodymyr Melnykov; Kateryna Melnykova; Khrystyna Lishchuk-Yakymovych (Big Data Cogn. Comput., 2021)

The Hierarchical Classifier for COVID-19 Resistance Evaluation. - Nataliya Shakhovska; Ivan Izonin; Nataliia Melnykova (Data, 2021)

Feature Engineering and Missing Data Imputation Method of Medical Data Analysis. - Natalya Shakhovska; Nataliia Melnykova (CMIS, 2022)

Multimodal Approaches for Natural Language Processing in Medical Data. - Oleh Basystiuk; Nataliia Melnykova (IDDM, 2022)

Multimodal Learning Analytics: An Overview of the Data Collection Methodology. - Oleh Basystiuk; Nataliia Melnykova; Zoriana Rybchak (CSIT, 2023)

Multimodal Medical Data Learning Approaches for Digital Healthcare. - Oleh Basystiuk; Nataliia Melnykova (IDDM, 2023)

Classification of Patients with the Development of Alzheimer's Disease using an Ensemble of Machne Learning Models. - Mariia Nykoniuk; Nataliia Melnykova; Yurii Patereha; Dariusz Sala; Dariusz Cichon (IDDM, 2023)

Machine Learning Methods and Tools for Facial Recognition Based on Multimodal Approach. - Oleh Basystiuk; Nataliia Melnykova; Zoriana Rybchak (MoMLeT+DS, 2023)

Investigating Methods of Searching for Key Frames in Video Flow with the Use of Neural Networks for Search Systems. - Natalya Shakhovska; Nataliia Melnykova; Petro Pobereiko; Maryana Zakharchuk (Int. J. Comput., 2023)

Detecting Multimodal Data in Information System. - Oleh Basystiuk; Nataliya Melnykova; Jaime Campos (CSIT, 2024)

Improvement of the mathematical models reduction principle by group elements deletion. - Yaroslav Matviychuk; Nataliya Melnykova (SMARTINDUSTRY, 2025)

Analysis and correcting pronunciation disorders based on artificial intelligence approach. - Nataliia Melnykova; Bohdan Pavlyk; Oleh Basystiuk; Stepan Skopivskyi (Frontiers Artif. Intell., 2025)