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 | 110 | 2020 |
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 | 84 | 2021 |
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 | 49 | 2021 |
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 | 46 | 2019 |
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 | 43 | 2020 |
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 | 32 | 2019 |
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 | 22 | 2020 |
An extended-input GRNN and its application I Izonin, N Kryvinska, R Tkachenko, K Zub, P Vitynskyi Procedia Computer Science 160, 578-583, 2019 | 22 | 2019 |
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 | 21 | 2021 |
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 | 21 | 2021 |
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 | 15 | 2020 |
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 | 11 | 2020 |
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 | 6 | 2023 |
Performance Evaluation of ML-based Classifiers for HEI Graduate Entrants. K Zub, P Zhezhnych ProfIT AI, 92-97, 2021 | 4 | 2021 |
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 | 4 | 2021 |
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 Інформаційні технології та комп'ютерна інженерія.№ 1: 28-36., 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 |