Stacking-based GRNN-SGTM ensemble model for prediction tasks

I Izonin, R Tkachenko, P Vitynskyi, K Zub… - … on decision aid …, 2020 - ieeexplore.ieee.org
An effective solution of the prediction tasks requires the high accuracy of the result with
minimal resource and time costs for the operation of the chosen algorithm. In cases when …

The new approaches of heterogeneous data consolidation

N Melnykova, U Marikutsa… - 2018 IEEE 13th …, 2018 - ieeexplore.ieee.org
The article is suggested the approaches to the process of data consolidation, namely data of
various origin of large sizes for analysis and prediction of the object's behavior of the studied …

The special Ways for processing personalized data during voting in elections

N Melnykova, M Buchyn, S Albota, S Fedushko… - Advances in Intelligent …, 2020 - Springer
In the article, the authors analyze the existing information technologies of electronic voting in
elections and determine their advantages and disadvantages. They offer ways of processing …

The special ways of application of neural networks for medical information processing

N Melnykova, P Mukalov, D Koziy - 2018 IEEE 13th …, 2018 - ieeexplore.ieee.org
In this paper it's presented new special ways for processing medical information. The author
introduced the main characteristics of artificial neural networks, which allowed to formulate …

[PDF][PDF] Моделі та методи підтримки персоналізованих рішень у медичних системах

НІ Мельникова - На правах рукопису. Дисертаційна робота на … - lpnu.ua
У дисертаційній роботі вирішено важливу науково-прикладну проблему розроблення
та удосконалення моделей, методів і засобів машинного навчання в задачах …

Machine Learning for Predicting Stroke Occurrences Using Imbalanced Data

N Melnykova, Y Patereha, LO Chereshchuk… - Data-Centric Business …, 2024 - Springer
The research paper focused on predicting the occurrence of strokes, a severe threat to
individuals' health and lives. To address this, machine learning models were constructed …

Applied Aspects of Implementation of Intelligent Information Technology for Fraud Detection During Mobile Applications Installation

A Yarovyi, T Polhul - Conference on Computer Science and Information …, 2019 - Springer
The intelligent information technology for fraud detection during mobile applications
installation is proposed in this paper. The structure of such intelligent information technology …