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Khrystyna Zub
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An approach towards increasing prediction accuracy for the recovery of missing IoT data based on the GRNN-SGTM ensemble
R Tkachenko, I Izonin, N Kryvinska, I Dronyuk, K Zub
Sensors 20 (9), 2625, 2020
1022020
An approach towards missing data management using improved GRNN-SGTM ensemble method
I Izonin, R Tkachenko, V Verhun, K Zub
Engineering Science and Technology, an International Journal 24 (3), 749-759, 2021
742021
An approach towards missing data recovery within IoT smart system
I Izonin, N Kryvinska, R Tkachenko, K Zub
Procedia Computer Science 155, 11-18, 2019
432019
Stacking-based GRNN-SGTM ensemble model for prediction tasks
I Izonin, R Tkachenko, P Vitynskyi, K Zub, P Tkachenko, I Dronyuk
2020 International conference on decision aid sciences and application (DASA …, 2020
382020
A GRNN-based approach towards prediction from small datasets in medical application
I Izonin, R Tkachenko, K Zub, P Tkachenko
Procedia Computer Science 184, 242-249, 2021
352021
Recovery of incomplete IoT sensed data using high-performance extended-input neural-like structure
I Izonin, R Tkachenko, N Kryvinska, K Zub, O Mishchuk, T Lisovych
Procedia Computer Science 160, 521-526, 2019
322019
GRNN approach towards missing data recovery between IoT systems
I Izonin, N Kryvinska, P Vitynskyi, R Tkachenko, K Zub
Advances in Intelligent Networking and Collaborative Systems: The 11th …, 2020
222020
An extended-input GRNN and its application
I Izonin, N Kryvinska, R Tkachenko, K Zub, P Vitynskyi
Procedia Computer Science 160, 578-583, 2019
182019
RBF-Based Input Doubling Method for Small Medical Data Processing
I Izonin, R Tkachenko, S Fedushko, D Koziy, K Zub, O Vovk
Advances in Artificial Systems for Logistics Engineering, 23-31, 2021
162021
Input doubling method based on SVR with RBF kernel in clinical practice: focus on small data
I Izonin, R Tkachenko, M Gregus, K Zub, N Lotoshynska
Procedia computer science 184, 606-613, 2021
162021
Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach.
I Izonin, R Tkachenko, L Ryvak, K Zub, M Rashkevych, O Pavlyuk
IDDM, 209-218, 2020
142020
Analysis of Features and Abilities of Online Systems and Tools Meeting Information Needs of HEIs' Entrants.
P Zhezhnych, O Berezko, K Zub, I Demydov
COAPSN, 76-85, 2020
82020
Performance Evaluation of ML-based Classifiers for HEI Graduate Entrants.
K Zub, P Zhezhnych
ProfIT AI, 92-97, 2021
32021
A Comparison of Machine Learning Algorithms for Prediction Higher Education Institution’s Entrants Admissions
P Zhezhnych, K Zub, O Berezko, A Shilinh
Advances in Artificial Systems for Logistics Engineering, 171-179, 2021
32021
Two-Stage PNN–SVM Ensemble for Higher Education Admission Prediction
K Zub, P Zhezhnych, C Strauss
Big Data and Cognitive Computing 7 (2), 83, 2023
12023
MACHINE LEARNING BOOSTING METHODS FOR PREDICTION A HIGHER EDUCATION INSTITUTIONS ENTRANT'S ADMISSIONS IN UKRAINE
K ZUB, P ZHEZHNYCH
COMPUTER SYSTEMS AND INFORMATION TECHNOLOGIES, 2023
2023
AN OVERVIEW OF THE CURRENT PROGRESS OF THE HEI’S SUPPORT SYSTEMS FROM THE ENTRANTS’PERSPECTIVES
Х Зуб, П Жежнич
Інформаційні технології та комп'ютерна інженерія 53 (1), 28-36, 2022
2022
An overview of the current progress of the HEI’s support systems from the entrants’ perspectives
K Zub, P Zhezhnych
ВНТУ, 2022
2022
Аналіз популярних рішень для побудови онлайн-спільноти випускників вишу
О Березко, Х Зуб
Інформація, комунікація, суспільство 2019: матеріали 8-ої Міжнародної …, 2019
2019
Регламентація процесу подання Львівської політехніки у WWW шляхом розміщення новинного інформаційного наповнення на офіційному веб-сайті університету
О Березко, П Жежнич, О Левченко, Х Зуб
Вісник Національного університету Львівська політехніка. Інформатизація …, 2018
2018
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